A novel artificial hummingbird algorithm for integrating renewable based biomass distributed generators in radial distribution systems
•A novel approach incorporated artificial hummingbirdalgorithm (AHA) is proposed for the first time to solve the problem of biomass-based DGs integration in radial distribution networks.•Two versions of AHA are proposed to solve single and multi-objective problems with the purpose of minimizing the...
Uloženo v:
| Vydáno v: | Applied energy Ročník 323; s. 119605 |
|---|---|
| Hlavní autor: | |
| Médium: | Journal Article |
| Jazyk: | angličtina |
| Vydáno: |
Elsevier Ltd
01.10.2022
|
| Témata: | |
| ISSN: | 0306-2619, 1872-9118 |
| On-line přístup: | Získat plný text |
| Tagy: |
Přidat tag
Žádné tagy, Buďte první, kdo vytvoří štítek k tomuto záznamu!
|
| Abstract | •A novel approach incorporated artificial hummingbirdalgorithm (AHA) is proposed for the first time to solve the problem of biomass-based DGs integration in radial distribution networks.•Two versions of AHA are proposed to solve single and multi-objective problems with the purpose of minimizing the network active power loss and voltage deviation.•Different biomass-based DGs with unity, fixed, and optimal power factors are analyzed.•Statistical tests of Wilcoxon, Friedman, ANOVA, and Kruskal Wallis are performed to assess the proposed AHA performance.•The robustness and competence of the proposed AHA are confirmed via the fetched results.
Improving the performance of the electric distribution network is essential to meet the needs of the customer and guarantee the service continuity. Installing generators with small sizes known as distributed generators (DGs) can contribute to enhance the network operation by mitigating the network loss and improving the voltage profile. Integrating these generators in inappropriate places can cause serious consequences to the network operation. Therefore, this paper proposes a novel metaheuristic approach of artificial hummingbirdalgorithm (AHA) to identify the best locations and sizes of biomass-based DGs in radial distribution network. The proposed approach has enriched exploration and exploitation phases that enhancing its search capability and avoiding stuck in local optima. The network active power loss and the voltage deviation are selected as the targets to be minimized. Moreover, a new version of AHA is programmed to solve multi-objective problem with the purpose of mitigating both targets. The analysis is conducted on three radial distribution networks of IEEE 33-bus, IEEE 69-bus, and IEEE 119-bus. Three scenarios are implemented in each network, the first one is minimizing the active power loss, the second one is mitigating the voltage deviation, and the last one is multi-objective problem. Also, biomass-based DGs with unity, fixed, and optimal power factors are analyzed. Excessive comparison to fractal search algorithm, particle swarm optimizer, genetic algorithm, the whale optimization algorithm, sperm swarm optimization, tunicate swarm algorithm, pathfinder algorithm, seagull optimization algorithm, and sine cosine algorithm, multi-objective water cycle algorithm, multi-objective grey wolf optimizer, and multi-objective sparrow search algorithm is conducted. Moreover, statistical tests of Wilcoxon, Friedman, ANOVA, and Kruskal Wallis are performed to assess the performance of the proposed approach. The gotten results confirmed the preference and competence of the proposed approach in integrating the biomass-based DGs in radial distribution networks. |
|---|---|
| AbstractList | Improving the performance of the electric distribution network is essential to meet the needs of the customer and guarantee the service continuity. Installing generators with small sizes known as distributed generators (DGs) can contribute to enhance the network operation by mitigating the network loss and improving the voltage profile. Integrating these generators in inappropriate places can cause serious consequences to the network operation. Therefore, this paper proposes a novel metaheuristic approach of artificial hummingbirdalgorithm (AHA) to identify the best locations and sizes of biomass-based DGs in radial distribution network. The proposed approach has enriched exploration and exploitation phases that enhancing its search capability and avoiding stuck in local optima. The network active power loss and the voltage deviation are selected as the targets to be minimized. Moreover, a new version of AHA is programmed to solve multi-objective problem with the purpose of mitigating both targets. The analysis is conducted on three radial distribution networks of IEEE 33-bus, IEEE 69-bus, and IEEE 119-bus. Three scenarios are implemented in each network, the first one is minimizing the active power loss, the second one is mitigating the voltage deviation, and the last one is multi-objective problem. Also, biomass-based DGs with unity, fixed, and optimal power factors are analyzed. Excessive comparison to fractal search algorithm, particle swarm optimizer, genetic algorithm, the whale optimization algorithm, sperm swarm optimization, tunicate swarm algorithm, pathfinder algorithm, seagull optimization algorithm, and sine cosine algorithm, multi-objective water cycle algorithm, multi-objective grey wolf optimizer, and multi-objective sparrow search algorithm is conducted. Moreover, statistical tests of Wilcoxon, Friedman, ANOVA, and Kruskal Wallis are performed to assess the performance of the proposed approach. The gotten results confirmed the preference and competence of the proposed approach in integrating the biomass-based DGs in radial distribution networks. •A novel approach incorporated artificial hummingbirdalgorithm (AHA) is proposed for the first time to solve the problem of biomass-based DGs integration in radial distribution networks.•Two versions of AHA are proposed to solve single and multi-objective problems with the purpose of minimizing the network active power loss and voltage deviation.•Different biomass-based DGs with unity, fixed, and optimal power factors are analyzed.•Statistical tests of Wilcoxon, Friedman, ANOVA, and Kruskal Wallis are performed to assess the proposed AHA performance.•The robustness and competence of the proposed AHA are confirmed via the fetched results. Improving the performance of the electric distribution network is essential to meet the needs of the customer and guarantee the service continuity. Installing generators with small sizes known as distributed generators (DGs) can contribute to enhance the network operation by mitigating the network loss and improving the voltage profile. Integrating these generators in inappropriate places can cause serious consequences to the network operation. Therefore, this paper proposes a novel metaheuristic approach of artificial hummingbirdalgorithm (AHA) to identify the best locations and sizes of biomass-based DGs in radial distribution network. The proposed approach has enriched exploration and exploitation phases that enhancing its search capability and avoiding stuck in local optima. The network active power loss and the voltage deviation are selected as the targets to be minimized. Moreover, a new version of AHA is programmed to solve multi-objective problem with the purpose of mitigating both targets. The analysis is conducted on three radial distribution networks of IEEE 33-bus, IEEE 69-bus, and IEEE 119-bus. Three scenarios are implemented in each network, the first one is minimizing the active power loss, the second one is mitigating the voltage deviation, and the last one is multi-objective problem. Also, biomass-based DGs with unity, fixed, and optimal power factors are analyzed. Excessive comparison to fractal search algorithm, particle swarm optimizer, genetic algorithm, the whale optimization algorithm, sperm swarm optimization, tunicate swarm algorithm, pathfinder algorithm, seagull optimization algorithm, and sine cosine algorithm, multi-objective water cycle algorithm, multi-objective grey wolf optimizer, and multi-objective sparrow search algorithm is conducted. Moreover, statistical tests of Wilcoxon, Friedman, ANOVA, and Kruskal Wallis are performed to assess the performance of the proposed approach. The gotten results confirmed the preference and competence of the proposed approach in integrating the biomass-based DGs in radial distribution networks. |
| ArticleNumber | 119605 |
| Author | Fathy, Ahmed |
| Author_xml | – sequence: 1 givenname: Ahmed surname: Fathy fullname: Fathy, Ahmed email: afali@zu.edu.eg organization: Electrical Engineering Department, Faculty of Engineering, Jouf University, 42421 Sakaka, Saudi Arabia |
| BookMark | eNqFkE1r3DAQhkVJoJs0fyHo2Iu3kryWbeihIfQLAr20ZyFZY2cWW9qOtCn7B_q7K7NpD73kJBi9zzvDc8UuQgzA2K0UWymkfrff2gMEoOm0VUKprZS9Fs0rtpFdq6peyu6CbUQtdKW07F-zq5T2Qgglldiw33c8xCeYuaWMIw5oZ_54XBYMk0Py3M5TJMyPCx8jcQwZJrK5_HIqO39ZNwN3NoHnDuNiU-IeUyZ0x1xm03qXzZFSQTlZv9b_C2AMPJ1ShiW9YZejnRPcPL_X7Menj9_vv1QP3z5_vb97qIZ61-Rq52vf7ZxqNDS9GlrXOCc7u1Oitw242o9O9a51VrZSdHpsSlb6VqgGeq1bWV-zt-feA8WfR0jZLJgGmGcbIB6TUa3sVNcVTyX6_hwdKKZEMJoBs12PzmRxNlKYVb_Zm7_6zarfnPUXXP-HHwgXS6eXwQ9nEIqHJwQyaUAIA3gkGLLxEV-q-AOjfqmg |
| CitedBy_id | crossref_primary_10_1007_s00521_023_08327_0 crossref_primary_10_1007_s10586_024_04668_0 crossref_primary_10_1371_journal_pone_0319174 crossref_primary_10_3390_biom13071090 crossref_primary_10_3390_inventions9060114 crossref_primary_10_1016_j_cosrev_2025_100727 crossref_primary_10_1007_s42235_023_00478_z crossref_primary_10_1016_j_est_2025_117733 crossref_primary_10_1016_j_ijepes_2024_109849 crossref_primary_10_1038_s41598_024_79519_4 crossref_primary_10_3390_batteries10060212 crossref_primary_10_3390_en16124560 crossref_primary_10_1016_j_compeleceng_2025_110715 crossref_primary_10_1016_j_apenergy_2023_122029 crossref_primary_10_1016_j_apenergy_2023_122028 crossref_primary_10_1016_j_ecmx_2025_101228 crossref_primary_10_3390_su142416378 crossref_primary_10_1007_s40031_023_00890_3 crossref_primary_10_1109_ACCESS_2023_3291590 crossref_primary_10_1016_j_eswa_2023_122090 crossref_primary_10_1038_s41598_024_80076_z crossref_primary_10_1007_s00521_024_09928_z crossref_primary_10_1016_j_seta_2024_103885 crossref_primary_10_1177_14759217241233733 crossref_primary_10_1007_s00202_025_03228_y crossref_primary_10_1007_s00521_024_10301_3 crossref_primary_10_1016_j_compeleceng_2025_110621 crossref_primary_10_61435_ijred_2024_60224 crossref_primary_10_3390_jmse11020308 crossref_primary_10_1007_s41939_023_00252_y crossref_primary_10_1109_ACCESS_2023_3316725 crossref_primary_10_1016_j_ijhydene_2024_02_325 crossref_primary_10_1038_s41598_025_12079_3 crossref_primary_10_1007_s11831_024_10135_1 crossref_primary_10_1016_j_est_2023_109088 crossref_primary_10_1016_j_rineng_2024_103860 crossref_primary_10_1016_j_est_2023_108276 crossref_primary_10_1007_s40430_023_04455_9 crossref_primary_10_1007_s41870_024_01791_4 crossref_primary_10_1016_j_energ_2025_100016 crossref_primary_10_1016_j_est_2024_112093 crossref_primary_10_3390_math10163006 crossref_primary_10_1038_s41598_024_78569_y crossref_primary_10_1016_j_cie_2023_109212 crossref_primary_10_1016_j_egyr_2024_01_020 crossref_primary_10_1515_cppm_2024_0011 crossref_primary_10_1016_j_apenergy_2024_124050 crossref_primary_10_1016_j_apenergy_2023_122054 crossref_primary_10_1016_j_asoc_2023_111087 crossref_primary_10_3390_math11153305 crossref_primary_10_1007_s00202_024_02849_z crossref_primary_10_1016_j_cma_2023_116238 crossref_primary_10_3390_fi16100355 crossref_primary_10_1109_ACCESS_2023_3289813 |
| Cites_doi | 10.1016/0142-0615(95)00050-0 10.1016/j.aej.2021.06.028 10.1007/s00521-020-05080-6 10.1016/j.rser.2009.10.025 10.1016/j.physa.2011.12.004 10.1016/j.epsr.2019.04.001 10.1016/j.asej.2021.06.023 10.1016/j.ijepes.2015.04.021 10.1002/2050-7038.13126 10.1016/j.epsr.2012.12.009 10.3906/elk-1805-66 10.1080/15325008.2015.1102989 10.1016/j.asoc.2018.06.020 10.1016/j.asej.2020.07.009 10.1016/j.apenergy.2017.10.106 10.1016/j.ijepes.2018.06.025 10.3390/en15041302 10.1007/978-3-030-34050-6_2 10.1080/15325008.2017.1292567 10.1049/iet-gtd.2016.0151 10.1016/j.egyr.2020.10.002 10.3390/en15041378 10.1016/j.epsr.2006.06.005 10.1049/iet-rpg.2014.0336 10.3390/cleantechnol3020023 10.3390/en15041341 10.1016/j.energy.2019.116880 10.1023/A:1008202821328 10.1002/etep.2322 10.1016/j.cma.2021.114194 10.1016/j.asoc.2019.105833 10.1016/j.rser.2018.03.068 10.1007/s12065-020-00428-2 10.1016/j.knosys.2021.107387 10.1016/j.rser.2015.11.086 10.1016/j.egycc.2020.100004 10.1016/j.egyr.2021.08.184 10.1002/2050-7038.12295 10.1049/iet-rpg.2020.0713 10.1002/2050-7038.12727 10.1016/j.asoc.2020.106234 10.1016/j.esr.2019.01.006 10.1016/j.epsr.2005.05.008 10.1016/S0142-0615(00)00040-5 10.1109/TPWRS.2015.2430278 10.1007/978-981-16-1220-6_35 10.1016/j.epsr.2019.02.013 10.1016/j.asoc.2020.106067 |
| ContentType | Journal Article |
| Copyright | 2022 Elsevier Ltd |
| Copyright_xml | – notice: 2022 Elsevier Ltd |
| DBID | AAYXX CITATION 7S9 L.6 |
| DOI | 10.1016/j.apenergy.2022.119605 |
| DatabaseName | CrossRef AGRICOLA AGRICOLA - Academic |
| DatabaseTitle | CrossRef AGRICOLA AGRICOLA - Academic |
| DatabaseTitleList | AGRICOLA |
| DeliveryMethod | fulltext_linktorsrc |
| Discipline | Engineering Environmental Sciences |
| EISSN | 1872-9118 |
| ExternalDocumentID | 10_1016_j_apenergy_2022_119605 S0306261922009126 |
| GroupedDBID | --K --M .~1 0R~ 1B1 1~. 1~5 23M 4.4 457 4G. 5GY 5VS 7-5 71M 8P~ 9JN AABNK AACTN AAEDT AAEDW AAHCO AAIAV AAIKJ AAKOC AALRI AAOAW AAQFI AARJD AAXUO ABJNI ABMAC ABYKQ ACDAQ ACGFS ACRLP ADBBV ADEZE ADTZH AEBSH AECPX AEKER AENEX AFKWA AFTJW AGHFR AGUBO AGYEJ AHHHB AHIDL AHJVU AIEXJ AIKHN AITUG AJOXV ALMA_UNASSIGNED_HOLDINGS AMFUW AMRAJ AXJTR BELTK BJAXD BKOJK BLXMC CS3 EBS EFJIC EFLBG EO8 EO9 EP2 EP3 FDB FIRID FNPLU FYGXN G-Q GBLVA IHE J1W JARJE JJJVA KOM LY6 M41 MO0 N9A O-L O9- OAUVE OZT P-8 P-9 P2P PC. Q38 ROL RPZ SDF SDG SES SPC SPCBC SSR SST SSZ T5K TN5 ~02 ~G- 9DU AAHBH AAQXK AATTM AAXKI AAYWO AAYXX ABEFU ABFNM ABWVN ABXDB ACLOT ACNNM ACRPL ACVFH ADCNI ADMUD ADNMO AEIPS AEUPX AFJKZ AFPUW AGQPQ AIGII AIIUN AKBMS AKRWK AKYEP ANKPU APXCP ASPBG AVWKF AZFZN CITATION EFKBS EJD FEDTE FGOYB G-2 HVGLF HZ~ R2- SAC SEW WUQ ZY4 ~HD 7S9 L.6 |
| ID | FETCH-LOGICAL-c345t-4d3d84b256e592c7b5bb18a4209a5eb3dfb29b7ba171086f54b21d7025e966713 |
| ISICitedReferencesCount | 58 |
| ISICitedReferencesURI | http://www.webofscience.com/api/gateway?GWVersion=2&SrcApp=Summon&SrcAuth=ProQuest&DestLinkType=CitingArticles&DestApp=WOS_CPL&KeyUT=000853737400001&url=https%3A%2F%2Fcvtisr.summon.serialssolutions.com%2F%23%21%2Fsearch%3Fho%3Df%26include.ft.matches%3Dt%26l%3Dnull%26q%3D |
| ISSN | 0306-2619 |
| IngestDate | Sat Sep 27 16:34:36 EDT 2025 Sat Nov 29 07:24:58 EST 2025 Tue Nov 18 22:15:34 EST 2025 Fri Feb 23 02:35:49 EST 2024 |
| IsPeerReviewed | true |
| IsScholarly | true |
| Keywords | Biomass-based DGs Radial distribution network Artificial hummingbirdalgorithm |
| Language | English |
| LinkModel | OpenURL |
| MergedId | FETCHMERGED-LOGICAL-c345t-4d3d84b256e592c7b5bb18a4209a5eb3dfb29b7ba171086f54b21d7025e966713 |
| Notes | ObjectType-Article-1 SourceType-Scholarly Journals-1 ObjectType-Feature-2 content type line 23 |
| PQID | 2718288619 |
| PQPubID | 24069 |
| ParticipantIDs | proquest_miscellaneous_2718288619 crossref_citationtrail_10_1016_j_apenergy_2022_119605 crossref_primary_10_1016_j_apenergy_2022_119605 elsevier_sciencedirect_doi_10_1016_j_apenergy_2022_119605 |
| PublicationCentury | 2000 |
| PublicationDate | 2022-10-01 2022-10-00 20221001 |
| PublicationDateYYYYMMDD | 2022-10-01 |
| PublicationDate_xml | – month: 10 year: 2022 text: 2022-10-01 day: 01 |
| PublicationDecade | 2020 |
| PublicationTitle | Applied energy |
| PublicationYear | 2022 |
| Publisher | Elsevier Ltd |
| Publisher_xml | – name: Elsevier Ltd |
| References | Akorede, Hizam, Pouresmaeil (b0240) 2010; 14 Ramadan, Ebeed, Kamel, Agwa, Tostado-Véliz (b0180) 2022; 15 Das, Barik (b0190) 2022 Salah Saidi (b0010) 2022; 13 Home-Ortiz, Pourakbari-Kasmaei, Lehtonen, Mantovani (b0110) 2019; 172 Barik, Das, Bansal (b0155) 2020; 14 Yuvaraj, Devabalaji, Srinivasan, Prabaharan, Hariharan, Alhelou (b0115) 2021; 7 Abo El-Ela, Allam, Shaheen, Nagem (b0245) 2021; 31 Sultana, Roy (b0040) 2015; 73 Malik, Kumar, Soomro, Baloch, Farhan, Gul (b0070) 2020; 6 Eminoglu, Hocaoglu (b0230) 2005; 76 Raut, Mishra (b0050) 2021; 14 Ayalew, Khan, Giday, Mahela, Khosravy, Gupta (b0185) 2022; 15 Prakash, Meena, Malik, Alotaibi, Khan (b0200) 2022; 15 Zhao, Feng (b0235) 2014; 4 Nagaballi, Kale (b0135) 2020; 92 Parihar, Malik (b0090) 2020; 30 Hemeida, Ibrahim, Mohamed, Alkhalaf, El-Dine (b0075) 2021; 12 Zhang, Fu, Zhang (b0270) 2007; 77 Rueda-Medina, Franco, Rider, Padilha-Feltrin, Romero (b0030) 2013; 97 Tiwari V, Dubey HM, Pandit M. Optimal sizing and allocation of DG in distribution system using TLBO. In: Artificial Intelligence and Sustainable Computing 2022: 409-421. Saha, Mukherjee (b0215) 2016; 10 Mazhari, Monsef, Romero (b0020) 2015; 31 Yarahmadi, Shakarami (b0095) 2018; 103 Nguyen, Nguyen, Phan, Vo (b0120) 2021; 231 Gómez-González, Ruiz-Rodriguez, Jurado (b0035) 2015; 9 Das, Bass, Kothapalli, Mahmoud, Habibi (b0015) 2018; 91 Gholami, Parvaneh (b0060) 2019; 85 Awad, Abdel-Mawgoud, Kamel, Ibrahim, Jurado (b0175) 2021; 3 Ehsan, Yang (b0165) 2018; 210 Truong, Nallagownden, Elamvazuthi, Vo (b0080) 2020; 88 Sarwar, Mokhlis, Othman, Shareef, Wang, Mansor (b0160) 2022; 61 Nguyen, Vo (b0055) 2018; 70 Lakum, Mahajan (b0125) 2019; 173 Barik, Das (b0130) 2020; 194 Nieto, Vita, Ekonomou, Mastorakis (b0025) 2016; 2 Kamel, Awad, Abdel-Mawgoud, Jurado (b0140) 2019; 27 Storn, Price (b0255) 1997; 11 Saha, Mukherjee (b0045) 2021; 33 Jordehi (b0100) 2016; 56 Zhao, Wang, Mirjalili (b0250) 2022; 388 Das, Kothari, Kalam (b0225) 1995; 17 El-Fergany (b0085) 2016; 44 Shaheen, Elsayed, El-Sehiemy, Ginidi, Elattar (b0170) 2021; 31 El-Ela, El-Seheimy, Shaheen, Wahbi, Mouwafi (b0145) 2021; 42 Chakravorty, Das (b0220) 2001; 23 Fathy, Abdelaziz (b0265) 2017; 45 Koundinya, Reddy, Khalander (b0195) 2022 Kayal, Chanda, Chanda (b0065) 2017; 27 Das, Mukherjee, Das (b0150) 2020; 1 Gielen, Boshell, Saygin, Bazilian, Wagner, Gorini (b0005) 2019; 24 Lipowski, Lipowska (b0260) 2012; 391 Jabari F, Asadi S, Seyed-barhagh S. A novel forward-backward sweep based optimal DG placement approach in radial distribution systems. In: Optimization of Power System Problems 2020: 49-61. Abdelaziz, Fathy (b0210) 2017; 20 Raut (10.1016/j.apenergy.2022.119605_b0050) 2021; 14 Das (10.1016/j.apenergy.2022.119605_b0015) 2018; 91 Storn (10.1016/j.apenergy.2022.119605_b0255) 1997; 11 Malik (10.1016/j.apenergy.2022.119605_b0070) 2020; 6 Hemeida (10.1016/j.apenergy.2022.119605_b0075) 2021; 12 Kayal (10.1016/j.apenergy.2022.119605_b0065) 2017; 27 Zhang (10.1016/j.apenergy.2022.119605_b0270) 2007; 77 Rueda-Medina (10.1016/j.apenergy.2022.119605_b0030) 2013; 97 Truong (10.1016/j.apenergy.2022.119605_b0080) 2020; 88 Eminoglu (10.1016/j.apenergy.2022.119605_b0230) 2005; 76 Gholami (10.1016/j.apenergy.2022.119605_b0060) 2019; 85 Jordehi (10.1016/j.apenergy.2022.119605_b0100) 2016; 56 Das (10.1016/j.apenergy.2022.119605_b0225) 1995; 17 Saha (10.1016/j.apenergy.2022.119605_b0215) 2016; 10 Lipowski (10.1016/j.apenergy.2022.119605_b0260) 2012; 391 Gómez-González (10.1016/j.apenergy.2022.119605_b0035) 2015; 9 Kamel (10.1016/j.apenergy.2022.119605_b0140) 2019; 27 Saha (10.1016/j.apenergy.2022.119605_b0045) 2021; 33 Home-Ortiz (10.1016/j.apenergy.2022.119605_b0110) 2019; 172 Barik (10.1016/j.apenergy.2022.119605_b0130) 2020; 194 Nagaballi (10.1016/j.apenergy.2022.119605_b0135) 2020; 92 Parihar (10.1016/j.apenergy.2022.119605_b0090) 2020; 30 Ayalew (10.1016/j.apenergy.2022.119605_b0185) 2022; 15 Nieto (10.1016/j.apenergy.2022.119605_b0025) 2016; 2 Chakravorty (10.1016/j.apenergy.2022.119605_b0220) 2001; 23 Zhao (10.1016/j.apenergy.2022.119605_b0250) 2022; 388 10.1016/j.apenergy.2022.119605_b0205 Abo El-Ela (10.1016/j.apenergy.2022.119605_b0245) 2021; 31 Barik (10.1016/j.apenergy.2022.119605_b0155) 2020; 14 Yarahmadi (10.1016/j.apenergy.2022.119605_b0095) 2018; 103 Awad (10.1016/j.apenergy.2022.119605_b0175) 2021; 3 Nguyen (10.1016/j.apenergy.2022.119605_b0120) 2021; 231 Gielen (10.1016/j.apenergy.2022.119605_b0005) 2019; 24 Sarwar (10.1016/j.apenergy.2022.119605_b0160) 2022; 61 Ehsan (10.1016/j.apenergy.2022.119605_b0165) 2018; 210 Sultana (10.1016/j.apenergy.2022.119605_b0040) 2015; 73 Yuvaraj (10.1016/j.apenergy.2022.119605_b0115) 2021; 7 Akorede (10.1016/j.apenergy.2022.119605_b0240) 2010; 14 El-Ela (10.1016/j.apenergy.2022.119605_b0145) 2021; 42 Das (10.1016/j.apenergy.2022.119605_b0150) 2020; 1 Salah Saidi (10.1016/j.apenergy.2022.119605_b0010) 2022; 13 Abdelaziz (10.1016/j.apenergy.2022.119605_b0210) 2017; 20 Das (10.1016/j.apenergy.2022.119605_b0190) 2022 Koundinya (10.1016/j.apenergy.2022.119605_b0195) 2022 Nguyen (10.1016/j.apenergy.2022.119605_b0055) 2018; 70 Mazhari (10.1016/j.apenergy.2022.119605_b0020) 2015; 31 Lakum (10.1016/j.apenergy.2022.119605_b0125) 2019; 173 Shaheen (10.1016/j.apenergy.2022.119605_b0170) 2021; 31 Prakash (10.1016/j.apenergy.2022.119605_b0200) 2022; 15 Fathy (10.1016/j.apenergy.2022.119605_b0265) 2017; 45 Zhao (10.1016/j.apenergy.2022.119605_b0235) 2014; 4 El-Fergany (10.1016/j.apenergy.2022.119605_b0085) 2016; 44 10.1016/j.apenergy.2022.119605_b0105 Ramadan (10.1016/j.apenergy.2022.119605_b0180) 2022; 15 |
| References_xml | – start-page: 269 year: 2022: end-page: 282 ident: b0190 article-title: Opposition-Based Competitive Swarm Optimizer for Optimal Sizing and Siting of DG Units in Radial System publication-title: In: Renewable Energy Towards Smart Grid – reference: Jabari F, Asadi S, Seyed-barhagh S. A novel forward-backward sweep based optimal DG placement approach in radial distribution systems. In: Optimization of Power System Problems 2020: 49-61. – volume: 20 start-page: 391 year: 2017 end-page: 402 ident: b0210 article-title: A novel approach based on crow search algorithm for optimal selection of conductor size in radial distribution networks publication-title: Eng Sci Technol, Int J – volume: 44 start-page: 252 year: 2016 end-page: 267 ident: b0085 article-title: Multi-objective allocation of multi-type distributed generators along distribution networks using backtracking search algorithm and fuzzy expert rules publication-title: Electr Power Compon Syst – volume: 88 start-page: 106067 year: 2020 ident: b0080 article-title: A quasi-oppositional-chaotic symbiotic organisms search algorithm for optimal allocation of DG in radial distribution networks publication-title: Appl Soft Comput – volume: 33 start-page: 1751 year: 2021 end-page: 1771 ident: b0045 article-title: A novel multi-objective modified symbiotic organisms search algorithm for optimal allocation of distributed generation in radial distribution system publication-title: Neural Comput Appl – volume: 15 start-page: 1378 year: 2022 ident: b0185 article-title: Integration of Renewable Based Distributed Generation for Distribution Network Expansion Planning publication-title: Energies – volume: 14 start-page: 1635 year: 2021 end-page: 1656 ident: b0050 article-title: A new Pareto multi-objective sine cosine algorithm for performance enhancement of radial distribution network by optimal allocation of distributed generators publication-title: Evol Intel – volume: 12 start-page: 609 year: 2021 end-page: 619 ident: b0075 article-title: Optimal allocation of distributed generators DG based Manta Ray Foraging Optimization algorithm (MRFO) publication-title: Ain Shams Eng J – volume: 14 start-page: 724 year: 2010 end-page: 734 ident: b0240 article-title: Distributed energy resources and benefits to the environment publication-title: Renew Sustain Energy Rev – volume: 7 start-page: 8312 year: 2021 end-page: 8321 ident: b0115 article-title: Comparative analysis of various compensating devices in energy trading radial distribution system for voltage regulation and loss mitigation using Blockchain technology and Bat Algorithm publication-title: Energy Rep – volume: 1 start-page: 100004 year: 2020 ident: b0150 article-title: Optimum placement of biomass DG considering hourly load demand publication-title: Energy and Climate Change – volume: 56 start-page: 893 year: 2016 end-page: 905 ident: b0100 article-title: Allocation of distributed generation units in electric power systems: A review publication-title: Renew Sustain Energy Rev – volume: 91 start-page: 1205 year: 2018 end-page: 1230 ident: b0015 article-title: Overview of energy storage systems in distribution networks: Placement, sizing, operation, and power quality publication-title: Renew Sustain Energy Rev – volume: 3 start-page: 409 year: 2021 end-page: 423 ident: b0175 article-title: Developing a Hybrid Optimization Algorithm for Optimal Allocation of Renewable DGs in Distribution Network publication-title: Clean Technologies – volume: 45 start-page: 601 year: 2017 end-page: 614 ident: b0265 article-title: Grey wolf optimizer for optimal sizing and siting of energy storage system in electric distribution network publication-title: Electr Power Compon Syst – volume: 92 start-page: 106234 year: 2020 ident: b0135 article-title: Pareto optimality and game theory approach for optimal deployment of DG in radial distribution system to improve techno-economic benefits publication-title: Appl Soft Comput – volume: 388 start-page: 114194 year: 2022 ident: b0250 article-title: Artificial hummingbird algorithm: A new bio-inspired optimizer with its engineering applications publication-title: Comput Methods Appl Mech Eng – volume: 97 start-page: 133 year: 2013 end-page: 143 ident: b0030 article-title: A mixed-integer linear programming approach for optimal type, size and allocation of distributed generation in radial distribution systems publication-title: Electr Power Syst Res – volume: 23 start-page: 129 year: 2001 end-page: 135 ident: b0220 article-title: Voltage stability analysis of radial distribution networks publication-title: Int J Electr Power Energy Syst – volume: 194 year: 2020 ident: b0130 article-title: A novel Q− PQV bus pair method of biomass DGs placement in distribution networks to maintain the voltage of remotely located buses publication-title: Energy – volume: 172 start-page: 11 year: 2019 end-page: 21 ident: b0110 article-title: Optimal location-allocation of storage devices and renewable-based DG in distribution systems publication-title: Electr Power Syst Res – volume: 31 year: 2021 ident: b0245 article-title: Optimal allocation of biomass distributed generation in distribution systems using equilibrium algorithm publication-title: Int Trans Electr Energy Syst – reference: Tiwari V, Dubey HM, Pandit M. Optimal sizing and allocation of DG in distribution system using TLBO. In: Artificial Intelligence and Sustainable Computing 2022: 409-421. – volume: 103 start-page: 404 year: 2018 end-page: 413 ident: b0095 article-title: An analytical and probabilistic method to determine wind distributed generators penetration for distribution networks based on time-dependent loads publication-title: Int J Electr Power Energy Syst – volume: 391 start-page: 2193 year: 2012 end-page: 2196 ident: b0260 article-title: Roulette-wheel selection via stochastic acceptance publication-title: Phys A – volume: 231 start-page: 107387 year: 2021 ident: b0120 article-title: A comprehensive analysis for multi-objective distributed generations and capacitor banks placement in radial distribution networks using hybrid neural network algorithm publication-title: Knowl-Based Syst – volume: 2 start-page: 5 year: 2016 ident: b0025 article-title: Economic analysis of energy storage system integration with a grid connected intermittent power plant, for power quality purposes publication-title: Technology – volume: 13 start-page: 101537 year: 2022 ident: b0010 article-title: Impact of grid-tied photovoltaic systems on voltage stability of tunisian distribution networks using dynamic reactive power control publication-title: Ain Shams Eng J – volume: 31 year: 2021 ident: b0170 article-title: Optimal management of static volt-ampere-reactive devices and distributed generations with reconfiguration capability in active distribution networks publication-title: Int Trans Electr Energy Syst – volume: 70 start-page: 773 year: 2018 end-page: 796 ident: b0055 article-title: A novel stochastic fractal search algorithm for optimal allocation of distributed generators in radial distribution systems publication-title: Appl Soft Comput – start-page: 1 year: 2022 end-page: 10 ident: b0195 article-title: Optimal sizing and siting of Distributed Generation for losses minimization in distribution system using Fractional Lévy Flight Bat Algorithm publication-title: Smart and Intelligent Systems – volume: 61 start-page: 659 year: 2022 end-page: 674 ident: b0160 article-title: Application of polynomial regression and MILP for under-frequency load shedding scheme in islanded distribution system publication-title: Alexandria Eng J – volume: 15 start-page: 1302 year: 2022 ident: b0180 article-title: The Probabilistic Optimal Integration of Renewable Distributed Generators Considering the Time-Varying Load Based on an Artificial Gorilla Troops Optimizer publication-title: Energies – volume: 210 start-page: 44 year: 2018 end-page: 59 ident: b0165 article-title: Optimal integration and planning of renewable distributed generation in the power distribution networks: A review of analytical techniques publication-title: Appl Energy – volume: 31 start-page: 1330 year: 2015 end-page: 1340 ident: b0020 article-title: A multi-objective distribution system expansion planning incorporating customer choices on reliability publication-title: IEEE Trans Power Syst – volume: 17 start-page: 335 year: 1995 end-page: 346 ident: b0225 article-title: Simple and efficient method for load flow solution of radial distribution networks publication-title: Int J Electr Power Energy Syst – volume: 42 start-page: 103041 year: 2021 ident: b0145 article-title: PV and battery energy storage integration in distribution networks using equilibrium algorithm publication-title: J Storage Mater – volume: 30 year: 2020 ident: b0090 article-title: Optimal allocation of renewable DGs in a radial distribution system based on new voltage stability index publication-title: Int Trans Electr Energy Syst – volume: 76 start-page: 106 year: 2005 end-page: 114 ident: b0230 article-title: A new power flow method for radial distribution systems including voltage dependent load models publication-title: Electr Power Syst Res – volume: 15 start-page: 1341 year: 2022 ident: b0200 article-title: A novel analytical approach for optimal integration of renewable energy sources in distribution systems publication-title: Energies – volume: 24 start-page: 38 year: 2019 end-page: 50 ident: b0005 article-title: The role of renewable energy in the global energy transformation publication-title: Energy Strategy Reviews – volume: 73 start-page: 182 year: 2015 end-page: 191 ident: b0040 article-title: Oppositional krill herd algorithm for optimal location of distributed generator in radial distribution system publication-title: Int J Electr Power Energy Syst – volume: 14 start-page: 4029 year: 2020 end-page: 4042 ident: b0155 article-title: Zero bus load flow method for the integration of renewable DGs by mixed-discrete particle swarm optimisation-based fuzzy max-min approach publication-title: Power Gener – volume: 173 start-page: 281 year: 2019 end-page: 290 ident: b0125 article-title: Optimal placement and sizing of multiple active power filters in radial distribution system using grey wolf optimizer in presence of nonlinear distributed generation publication-title: Electr Power Syst Res – volume: 85 start-page: 105833 year: 2019 ident: b0060 article-title: A mutated salp swarm algorithm for optimum allocation of active and reactive power sources in radial distribution systems publication-title: Appl Soft Comput – volume: 10 start-page: 3671 year: 2016 end-page: 3680 ident: b0215 article-title: Optimal placement and sizing of DGs in RDS using chaos embedded SOS algorithm publication-title: IET Gener Transm Distrib – volume: 9 start-page: 653 year: 2015 end-page: 659 ident: b0035 article-title: Metaheuristic and probabilistic techniques for optimal allocation and size of biomass distributed generation in unbalanced radial systems publication-title: IET Renew Power Gener – volume: 11 start-page: 341 year: 1997 end-page: 359 ident: b0255 article-title: Differential evolution–a simple and efficient heuristic for global optimization over continuous spaces publication-title: J Global Optim – volume: 27 start-page: 2947 year: 2019 end-page: 2961 ident: b0140 article-title: Optimal DG allocation for enhancing voltage stability and minimizing power loss using hybrid gray wolf optimizer publication-title: Turkish J Electr Eng Comput Sci – volume: 6 start-page: 2872 year: 2020 end-page: 2886 ident: b0070 article-title: Strategic planning of renewable distributed generation in radial distribution system using advanced MOPSO method publication-title: Energy Rep – volume: 27 start-page: e2322 year: 2017 ident: b0065 article-title: An analytical approach for allocation and sizing of distributed generations in radial distribution network publication-title: Int Trans Electr Energy Syst – volume: 4 start-page: 2 year: 2014 ident: b0235 article-title: Dilemma and strategy of biomass power generation industry development in China: A perspective of industry chain publication-title: J Fundam Renewable Energy Appl – volume: 77 start-page: 685 year: 2007 end-page: 694 ident: b0270 article-title: An improved TS algorithm for loss-minimum reconfiguration in large-scale distribution systems publication-title: Electr Power Syst Res – volume: 17 start-page: 335 issue: 5 year: 1995 ident: 10.1016/j.apenergy.2022.119605_b0225 article-title: Simple and efficient method for load flow solution of radial distribution networks publication-title: Int J Electr Power Energy Syst doi: 10.1016/0142-0615(95)00050-0 – volume: 61 start-page: 659 issue: 1 year: 2022 ident: 10.1016/j.apenergy.2022.119605_b0160 article-title: Application of polynomial regression and MILP for under-frequency load shedding scheme in islanded distribution system publication-title: Alexandria Eng J doi: 10.1016/j.aej.2021.06.028 – volume: 33 start-page: 1751 issue: 6 year: 2021 ident: 10.1016/j.apenergy.2022.119605_b0045 article-title: A novel multi-objective modified symbiotic organisms search algorithm for optimal allocation of distributed generation in radial distribution system publication-title: Neural Comput Appl doi: 10.1007/s00521-020-05080-6 – volume: 2 start-page: 5 year: 2016 ident: 10.1016/j.apenergy.2022.119605_b0025 article-title: Economic analysis of energy storage system integration with a grid connected intermittent power plant, for power quality purposes publication-title: Technology – volume: 14 start-page: 724 issue: 2 year: 2010 ident: 10.1016/j.apenergy.2022.119605_b0240 article-title: Distributed energy resources and benefits to the environment publication-title: Renew Sustain Energy Rev doi: 10.1016/j.rser.2009.10.025 – volume: 391 start-page: 2193 issue: 6 year: 2012 ident: 10.1016/j.apenergy.2022.119605_b0260 article-title: Roulette-wheel selection via stochastic acceptance publication-title: Phys A doi: 10.1016/j.physa.2011.12.004 – volume: 20 start-page: 391 issue: 2 year: 2017 ident: 10.1016/j.apenergy.2022.119605_b0210 article-title: A novel approach based on crow search algorithm for optimal selection of conductor size in radial distribution networks publication-title: Eng Sci Technol, Int J – volume: 173 start-page: 281 year: 2019 ident: 10.1016/j.apenergy.2022.119605_b0125 article-title: Optimal placement and sizing of multiple active power filters in radial distribution system using grey wolf optimizer in presence of nonlinear distributed generation publication-title: Electr Power Syst Res doi: 10.1016/j.epsr.2019.04.001 – volume: 13 start-page: 101537 issue: 2 year: 2022 ident: 10.1016/j.apenergy.2022.119605_b0010 article-title: Impact of grid-tied photovoltaic systems on voltage stability of tunisian distribution networks using dynamic reactive power control publication-title: Ain Shams Eng J doi: 10.1016/j.asej.2021.06.023 – volume: 73 start-page: 182 year: 2015 ident: 10.1016/j.apenergy.2022.119605_b0040 article-title: Oppositional krill herd algorithm for optimal location of distributed generator in radial distribution system publication-title: Int J Electr Power Energy Syst doi: 10.1016/j.ijepes.2015.04.021 – volume: 31 issue: 11 year: 2021 ident: 10.1016/j.apenergy.2022.119605_b0170 article-title: Optimal management of static volt-ampere-reactive devices and distributed generations with reconfiguration capability in active distribution networks publication-title: Int Trans Electr Energy Syst doi: 10.1002/2050-7038.13126 – volume: 97 start-page: 133 year: 2013 ident: 10.1016/j.apenergy.2022.119605_b0030 article-title: A mixed-integer linear programming approach for optimal type, size and allocation of distributed generation in radial distribution systems publication-title: Electr Power Syst Res doi: 10.1016/j.epsr.2012.12.009 – volume: 27 start-page: 2947 issue: 4 year: 2019 ident: 10.1016/j.apenergy.2022.119605_b0140 article-title: Optimal DG allocation for enhancing voltage stability and minimizing power loss using hybrid gray wolf optimizer publication-title: Turkish J Electr Eng Comput Sci doi: 10.3906/elk-1805-66 – volume: 44 start-page: 252 issue: 3 year: 2016 ident: 10.1016/j.apenergy.2022.119605_b0085 article-title: Multi-objective allocation of multi-type distributed generators along distribution networks using backtracking search algorithm and fuzzy expert rules publication-title: Electr Power Compon Syst doi: 10.1080/15325008.2015.1102989 – volume: 70 start-page: 773 year: 2018 ident: 10.1016/j.apenergy.2022.119605_b0055 article-title: A novel stochastic fractal search algorithm for optimal allocation of distributed generators in radial distribution systems publication-title: Appl Soft Comput doi: 10.1016/j.asoc.2018.06.020 – volume: 12 start-page: 609 issue: 1 year: 2021 ident: 10.1016/j.apenergy.2022.119605_b0075 article-title: Optimal allocation of distributed generators DG based Manta Ray Foraging Optimization algorithm (MRFO) publication-title: Ain Shams Eng J doi: 10.1016/j.asej.2020.07.009 – volume: 210 start-page: 44 year: 2018 ident: 10.1016/j.apenergy.2022.119605_b0165 article-title: Optimal integration and planning of renewable distributed generation in the power distribution networks: A review of analytical techniques publication-title: Appl Energy doi: 10.1016/j.apenergy.2017.10.106 – volume: 103 start-page: 404 year: 2018 ident: 10.1016/j.apenergy.2022.119605_b0095 article-title: An analytical and probabilistic method to determine wind distributed generators penetration for distribution networks based on time-dependent loads publication-title: Int J Electr Power Energy Syst doi: 10.1016/j.ijepes.2018.06.025 – volume: 15 start-page: 1302 issue: 4 year: 2022 ident: 10.1016/j.apenergy.2022.119605_b0180 article-title: The Probabilistic Optimal Integration of Renewable Distributed Generators Considering the Time-Varying Load Based on an Artificial Gorilla Troops Optimizer publication-title: Energies doi: 10.3390/en15041302 – ident: 10.1016/j.apenergy.2022.119605_b0105 doi: 10.1007/978-3-030-34050-6_2 – volume: 45 start-page: 601 issue: 6 year: 2017 ident: 10.1016/j.apenergy.2022.119605_b0265 article-title: Grey wolf optimizer for optimal sizing and siting of energy storage system in electric distribution network publication-title: Electr Power Compon Syst doi: 10.1080/15325008.2017.1292567 – volume: 10 start-page: 3671 issue: 14 year: 2016 ident: 10.1016/j.apenergy.2022.119605_b0215 article-title: Optimal placement and sizing of DGs in RDS using chaos embedded SOS algorithm publication-title: IET Gener Transm Distrib doi: 10.1049/iet-gtd.2016.0151 – volume: 6 start-page: 2872 year: 2020 ident: 10.1016/j.apenergy.2022.119605_b0070 article-title: Strategic planning of renewable distributed generation in radial distribution system using advanced MOPSO method publication-title: Energy Rep doi: 10.1016/j.egyr.2020.10.002 – volume: 15 start-page: 1378 issue: 4 year: 2022 ident: 10.1016/j.apenergy.2022.119605_b0185 article-title: Integration of Renewable Based Distributed Generation for Distribution Network Expansion Planning publication-title: Energies doi: 10.3390/en15041378 – volume: 77 start-page: 685 issue: 5–6 year: 2007 ident: 10.1016/j.apenergy.2022.119605_b0270 article-title: An improved TS algorithm for loss-minimum reconfiguration in large-scale distribution systems publication-title: Electr Power Syst Res doi: 10.1016/j.epsr.2006.06.005 – volume: 9 start-page: 653 issue: 6 year: 2015 ident: 10.1016/j.apenergy.2022.119605_b0035 article-title: Metaheuristic and probabilistic techniques for optimal allocation and size of biomass distributed generation in unbalanced radial systems publication-title: IET Renew Power Gener doi: 10.1049/iet-rpg.2014.0336 – volume: 3 start-page: 409 issue: 2 year: 2021 ident: 10.1016/j.apenergy.2022.119605_b0175 article-title: Developing a Hybrid Optimization Algorithm for Optimal Allocation of Renewable DGs in Distribution Network publication-title: Clean Technologies doi: 10.3390/cleantechnol3020023 – volume: 15 start-page: 1341 issue: 4 year: 2022 ident: 10.1016/j.apenergy.2022.119605_b0200 article-title: A novel analytical approach for optimal integration of renewable energy sources in distribution systems publication-title: Energies doi: 10.3390/en15041341 – volume: 194 year: 2020 ident: 10.1016/j.apenergy.2022.119605_b0130 article-title: A novel Q− PQV bus pair method of biomass DGs placement in distribution networks to maintain the voltage of remotely located buses publication-title: Energy doi: 10.1016/j.energy.2019.116880 – volume: 11 start-page: 341 issue: 4 year: 1997 ident: 10.1016/j.apenergy.2022.119605_b0255 article-title: Differential evolution–a simple and efficient heuristic for global optimization over continuous spaces publication-title: J Global Optim doi: 10.1023/A:1008202821328 – volume: 27 start-page: e2322 issue: 7 year: 2017 ident: 10.1016/j.apenergy.2022.119605_b0065 article-title: An analytical approach for allocation and sizing of distributed generations in radial distribution network publication-title: Int Trans Electr Energy Syst doi: 10.1002/etep.2322 – volume: 4 start-page: 2 issue: 135 year: 2014 ident: 10.1016/j.apenergy.2022.119605_b0235 article-title: Dilemma and strategy of biomass power generation industry development in China: A perspective of industry chain publication-title: J Fundam Renewable Energy Appl – volume: 388 start-page: 114194 year: 2022 ident: 10.1016/j.apenergy.2022.119605_b0250 article-title: Artificial hummingbird algorithm: A new bio-inspired optimizer with its engineering applications publication-title: Comput Methods Appl Mech Eng doi: 10.1016/j.cma.2021.114194 – volume: 85 start-page: 105833 year: 2019 ident: 10.1016/j.apenergy.2022.119605_b0060 article-title: A mutated salp swarm algorithm for optimum allocation of active and reactive power sources in radial distribution systems publication-title: Appl Soft Comput doi: 10.1016/j.asoc.2019.105833 – start-page: 1 year: 2022 ident: 10.1016/j.apenergy.2022.119605_b0195 article-title: Optimal sizing and siting of Distributed Generation for losses minimization in distribution system using Fractional Lévy Flight Bat Algorithm – volume: 91 start-page: 1205 year: 2018 ident: 10.1016/j.apenergy.2022.119605_b0015 article-title: Overview of energy storage systems in distribution networks: Placement, sizing, operation, and power quality publication-title: Renew Sustain Energy Rev doi: 10.1016/j.rser.2018.03.068 – start-page: 269 year: 2022 ident: 10.1016/j.apenergy.2022.119605_b0190 article-title: Opposition-Based Competitive Swarm Optimizer for Optimal Sizing and Siting of DG Units in Radial System publication-title: In: Renewable Energy Towards Smart Grid – volume: 14 start-page: 1635 issue: 4 year: 2021 ident: 10.1016/j.apenergy.2022.119605_b0050 article-title: A new Pareto multi-objective sine cosine algorithm for performance enhancement of radial distribution network by optimal allocation of distributed generators publication-title: Evol Intel doi: 10.1007/s12065-020-00428-2 – volume: 231 start-page: 107387 year: 2021 ident: 10.1016/j.apenergy.2022.119605_b0120 article-title: A comprehensive analysis for multi-objective distributed generations and capacitor banks placement in radial distribution networks using hybrid neural network algorithm publication-title: Knowl-Based Syst doi: 10.1016/j.knosys.2021.107387 – volume: 56 start-page: 893 year: 2016 ident: 10.1016/j.apenergy.2022.119605_b0100 article-title: Allocation of distributed generation units in electric power systems: A review publication-title: Renew Sustain Energy Rev doi: 10.1016/j.rser.2015.11.086 – volume: 1 start-page: 100004 year: 2020 ident: 10.1016/j.apenergy.2022.119605_b0150 article-title: Optimum placement of biomass DG considering hourly load demand publication-title: Energy and Climate Change doi: 10.1016/j.egycc.2020.100004 – volume: 7 start-page: 8312 year: 2021 ident: 10.1016/j.apenergy.2022.119605_b0115 article-title: Comparative analysis of various compensating devices in energy trading radial distribution system for voltage regulation and loss mitigation using Blockchain technology and Bat Algorithm publication-title: Energy Rep doi: 10.1016/j.egyr.2021.08.184 – volume: 30 issue: 4 year: 2020 ident: 10.1016/j.apenergy.2022.119605_b0090 article-title: Optimal allocation of renewable DGs in a radial distribution system based on new voltage stability index publication-title: Int Trans Electr Energy Syst doi: 10.1002/2050-7038.12295 – volume: 14 start-page: 4029 issue: 19 year: 2020 ident: 10.1016/j.apenergy.2022.119605_b0155 article-title: Zero bus load flow method for the integration of renewable DGs by mixed-discrete particle swarm optimisation-based fuzzy max-min approach publication-title: Power Gener doi: 10.1049/iet-rpg.2020.0713 – volume: 31 issue: 2 year: 2021 ident: 10.1016/j.apenergy.2022.119605_b0245 article-title: Optimal allocation of biomass distributed generation in distribution systems using equilibrium algorithm publication-title: Int Trans Electr Energy Syst doi: 10.1002/2050-7038.12727 – volume: 92 start-page: 106234 year: 2020 ident: 10.1016/j.apenergy.2022.119605_b0135 article-title: Pareto optimality and game theory approach for optimal deployment of DG in radial distribution system to improve techno-economic benefits publication-title: Appl Soft Comput doi: 10.1016/j.asoc.2020.106234 – volume: 42 start-page: 103041 year: 2021 ident: 10.1016/j.apenergy.2022.119605_b0145 article-title: PV and battery energy storage integration in distribution networks using equilibrium algorithm publication-title: J Storage Mater – volume: 24 start-page: 38 year: 2019 ident: 10.1016/j.apenergy.2022.119605_b0005 article-title: The role of renewable energy in the global energy transformation publication-title: Energy Strategy Reviews doi: 10.1016/j.esr.2019.01.006 – volume: 76 start-page: 106 issue: 1–3 year: 2005 ident: 10.1016/j.apenergy.2022.119605_b0230 article-title: A new power flow method for radial distribution systems including voltage dependent load models publication-title: Electr Power Syst Res doi: 10.1016/j.epsr.2005.05.008 – volume: 23 start-page: 129 issue: 2 year: 2001 ident: 10.1016/j.apenergy.2022.119605_b0220 article-title: Voltage stability analysis of radial distribution networks publication-title: Int J Electr Power Energy Syst doi: 10.1016/S0142-0615(00)00040-5 – volume: 31 start-page: 1330 issue: 2 year: 2015 ident: 10.1016/j.apenergy.2022.119605_b0020 article-title: A multi-objective distribution system expansion planning incorporating customer choices on reliability publication-title: IEEE Trans Power Syst doi: 10.1109/TPWRS.2015.2430278 – ident: 10.1016/j.apenergy.2022.119605_b0205 doi: 10.1007/978-981-16-1220-6_35 – volume: 172 start-page: 11 year: 2019 ident: 10.1016/j.apenergy.2022.119605_b0110 article-title: Optimal location-allocation of storage devices and renewable-based DG in distribution systems publication-title: Electr Power Syst Res doi: 10.1016/j.epsr.2019.02.013 – volume: 88 start-page: 106067 year: 2020 ident: 10.1016/j.apenergy.2022.119605_b0080 article-title: A quasi-oppositional-chaotic symbiotic organisms search algorithm for optimal allocation of DG in radial distribution networks publication-title: Appl Soft Comput doi: 10.1016/j.asoc.2020.106067 |
| SSID | ssj0002120 |
| Score | 2.5805912 |
| Snippet | •A novel approach incorporated artificial hummingbirdalgorithm (AHA) is proposed for the first time to solve the problem of biomass-based DGs integration in... Improving the performance of the electric distribution network is essential to meet the needs of the customer and guarantee the service continuity. Installing... |
| SourceID | proquest crossref elsevier |
| SourceType | Aggregation Database Enrichment Source Index Database Publisher |
| StartPage | 119605 |
| SubjectTerms | algorithms Artificial hummingbird algorithm biomass Biomass-based DGs electric potential difference hummingbirds hydrologic cycle Laridae Passeriformes Radial distribution network spermatozoa swarms |
| Title | A novel artificial hummingbird algorithm for integrating renewable based biomass distributed generators in radial distribution systems |
| URI | https://dx.doi.org/10.1016/j.apenergy.2022.119605 https://www.proquest.com/docview/2718288619 |
| Volume | 323 |
| WOSCitedRecordID | wos000853737400001&url=https%3A%2F%2Fcvtisr.summon.serialssolutions.com%2F%23%21%2Fsearch%3Fho%3Df%26include.ft.matches%3Dt%26l%3Dnull%26q%3D |
| hasFullText | 1 |
| inHoldings | 1 |
| isFullTextHit | |
| isPrint | |
| journalDatabaseRights | – providerCode: PRVESC databaseName: Elsevier SD Freedom Collection Journals 2021 customDbUrl: eissn: 1872-9118 dateEnd: 99991231 omitProxy: false ssIdentifier: ssj0002120 issn: 0306-2619 databaseCode: AIEXJ dateStart: 19950101 isFulltext: true titleUrlDefault: https://www.sciencedirect.com providerName: Elsevier |
| link | http://cvtisr.summon.serialssolutions.com/2.0.0/link/0/eLvHCXMwtV1Jb9QwFLZgygEOqBQqylIZiVuVkjjx2DlGaFDLoUKiSHOL7MTupJpmRpNp6S_gd_O8JRGLCkJcolFkx1G-b95ivwWhtyqJVTbVOqoSwaJMZyzKOZeRJoxxPeWKVpVtNsHOzvh8nn_y7Y46206AtS2_vc3X_xVquAdgm9TZv4C7fyjcgN8AOlwBdrj-EfDFUbu6UUtTvajx5SEWsDyoKNls6iOxvFhtmu3iygYYhmoRZsPAFLf8ajOpjGoDw7QxsUOdOcNxbbHg3oWtUm079JhEGGHTTvoBhkrdqAR6qG7rLV1l8wx7xoDtaREuFlc-w8rvPoDjGuLY_JZYSIsZYpBsKlY8jYxr5pSMk6ycESNZ-Vj0pi7X-Ccx7nYULo_F2r3ZsVkapDu4W3RQXH044WezoHUFzVlPQqb30Q5hNOcTtFOczuYfe91MfKHO8IKjnPFfr_Y7c-UHxW2tkfNd9Ni7Ebhw8D9B91S7hx6Nikvuof3ZkMMIQ70Q756ibwW2DMEDQ_CIIbhnCAaG4BFDcM8QbBmCPUPwiCF4YAhMxY4heMwQ7BnyDH35MDt_fxL5dhxRlWZ0G2V1WvNMgo2saE4qJqmUCRcZiXNBlUxrLUkumRQJM-27NIWxSc3AqFbgU7Mk3UeTdtWq5wjHKQFJoGtu7HlVUcE0EzrJhSZZHbP6ANHw1cvK16o3LVOWZQhKvCwDWqVBq3RoHaB3_by1q9Zy54w8gFp6m9PZkiVw8c65bwILShDK5qRNtGp13ZUELD7CORDsxT88_yV6OPzlXqHJdnOtXqMH1c226TaHntrfAYVVviw |
| linkProvider | Elsevier |
| openUrl | ctx_ver=Z39.88-2004&ctx_enc=info%3Aofi%2Fenc%3AUTF-8&rfr_id=info%3Asid%2Fsummon.serialssolutions.com&rft_val_fmt=info%3Aofi%2Ffmt%3Akev%3Amtx%3Ajournal&rft.genre=article&rft.atitle=A+novel+artificial+hummingbird+algorithm+for+integrating+renewable+based+biomass+distributed+generators+in+radial+distribution+systems&rft.jtitle=Applied+energy&rft.au=Fathy%2C+Ahmed&rft.date=2022-10-01&rft.pub=Elsevier+Ltd&rft.issn=0306-2619&rft.eissn=1872-9118&rft.volume=323&rft_id=info:doi/10.1016%2Fj.apenergy.2022.119605&rft.externalDocID=S0306261922009126 |
| thumbnail_l | http://covers-cdn.summon.serialssolutions.com/index.aspx?isbn=/lc.gif&issn=0306-2619&client=summon |
| thumbnail_m | http://covers-cdn.summon.serialssolutions.com/index.aspx?isbn=/mc.gif&issn=0306-2619&client=summon |
| thumbnail_s | http://covers-cdn.summon.serialssolutions.com/index.aspx?isbn=/sc.gif&issn=0306-2619&client=summon |