Dynamic distributed multi-objective mantis search algorithm based on Transformer hybrid strategy for novel power system dispatch
With massive renewable energy connected to the grid and increasing the complexity of power systems (PSs), traditional centralized PS models can not satisfy the needs of modern PSs. Consequently, a distributed novel power systems model (DNPSs) is proposed in this study aiming at efficient complementa...
Uložené v:
| Vydané v: | Energy (Oxford) Ročník 324; s. 136075 |
|---|---|
| Hlavní autori: | , , |
| Médium: | Journal Article |
| Jazyk: | English |
| Vydavateľské údaje: |
Elsevier Ltd
01.06.2025
|
| Predmet: | |
| ISSN: | 0360-5442 |
| On-line prístup: | Získať plný text |
| Tagy: |
Pridať tag
Žiadne tagy, Buďte prvý, kto otaguje tento záznam!
|
| Abstract | With massive renewable energy connected to the grid and increasing the complexity of power systems (PSs), traditional centralized PS models can not satisfy the needs of modern PSs. Consequently, a distributed novel power systems model (DNPSs) is proposed in this study aiming at efficient complementarity and optimal dispatch of multiple energy sources by coordinating the utilization of thermal, wind, photovoltaic, hydro, nuclear, biomass, and tidal energy. To address the dispatch problem in DNPSs, this study presents a distributed multi-objective mantis search algorithm (DMOMSA) which combines a distributed computing framework and a multi-objective mantis search algorithm. Although DMOMSA has significant optimal capabilities, the problem of premature convergence still exists. To overcome the problem of premature convergence of heuristic algorithms, this study presents a dynamic distributed multi-objective mantis search algorithm based on Transformer hybrid strategy (Transformer-DDMOMSA). The Transformer-DDDMOMSA strengthens the exploratory capacity of Transformer-DDMOMSA to avoid premature convergence by introducing a hybrid strategy consisting of the Transformer prediction strategy, Levy Flight, and Gaussian mutation. Simulation results indicate that Transformer-DDMOMSA is compared with non-dominated sorting moth flame optimization, multi-objective gray wolf optimizer, multi-objective mantis search algorithm, and multi-objective ant-lion optimizer: (1) in case I, generator costs are reduced by at least 2.36 %, 2.54 %, 2.30 %, and 4.20 %, respectively, while carbon dioxide emissions are reduced by at least 6.11 %, 9.92 %, 4.64 %, and 13.45 %, respectively; (2) in case II, generator costs are reduced by at least 2.38 %, 2.37 %, 1.92 %, and 2.70 %, respectively, while carbon dioxide emissions are reduced by at least 8.80 %, 12.01 %, 8.76 %, and 13.14 %, respectively; (3) the Transformer-DDMOMSA performs excellent in three evaluation metrics values of diversity, Euclidean distance and hypervolume.
•Distributed multi-objective economic dispatch problems are established.•Dynamic distributed mantis algorithm with Transformer hybrid strategy is proposed.•The proposed method avoids algorithm from falling into local optimal solutions.•Transformer hybrid strategies can help the proposed method explore expansive spaces.•Generator costs and carbon emissions are optimized simultaneously by proposed method. |
|---|---|
| AbstractList | With massive renewable energy connected to the grid and increasing the complexity of power systems (PSs), traditional centralized PS models can not satisfy the needs of modern PSs. Consequently, a distributed novel power systems model (DNPSs) is proposed in this study aiming at efficient complementarity and optimal dispatch of multiple energy sources by coordinating the utilization of thermal, wind, photovoltaic, hydro, nuclear, biomass, and tidal energy. To address the dispatch problem in DNPSs, this study presents a distributed multi-objective mantis search algorithm (DMOMSA) which combines a distributed computing framework and a multi-objective mantis search algorithm. Although DMOMSA has significant optimal capabilities, the problem of premature convergence still exists. To overcome the problem of premature convergence of heuristic algorithms, this study presents a dynamic distributed multi-objective mantis search algorithm based on Transformer hybrid strategy (Transformer-DDMOMSA). The Transformer-DDDMOMSA strengthens the exploratory capacity of Transformer-DDMOMSA to avoid premature convergence by introducing a hybrid strategy consisting of the Transformer prediction strategy, Levy Flight, and Gaussian mutation. Simulation results indicate that Transformer-DDMOMSA is compared with non-dominated sorting moth flame optimization, multi-objective gray wolf optimizer, multi-objective mantis search algorithm, and multi-objective ant-lion optimizer: (1) in case I, generator costs are reduced by at least 2.36 %, 2.54 %, 2.30 %, and 4.20 %, respectively, while carbon dioxide emissions are reduced by at least 6.11 %, 9.92 %, 4.64 %, and 13.45 %, respectively; (2) in case II, generator costs are reduced by at least 2.38 %, 2.37 %, 1.92 %, and 2.70 %, respectively, while carbon dioxide emissions are reduced by at least 8.80 %, 12.01 %, 8.76 %, and 13.14 %, respectively; (3) the Transformer-DDMOMSA performs excellent in three evaluation metrics values of diversity, Euclidean distance and hypervolume.
•Distributed multi-objective economic dispatch problems are established.•Dynamic distributed mantis algorithm with Transformer hybrid strategy is proposed.•The proposed method avoids algorithm from falling into local optimal solutions.•Transformer hybrid strategies can help the proposed method explore expansive spaces.•Generator costs and carbon emissions are optimized simultaneously by proposed method. With massive renewable energy connected to the grid and increasing the complexity of power systems (PSs), traditional centralized PS models can not satisfy the needs of modern PSs. Consequently, a distributed novel power systems model (DNPSs) is proposed in this study aiming at efficient complementarity and optimal dispatch of multiple energy sources by coordinating the utilization of thermal, wind, photovoltaic, hydro, nuclear, biomass, and tidal energy. To address the dispatch problem in DNPSs, this study presents a distributed multi-objective mantis search algorithm (DMOMSA) which combines a distributed computing framework and a multi-objective mantis search algorithm. Although DMOMSA has significant optimal capabilities, the problem of premature convergence still exists. To overcome the problem of premature convergence of heuristic algorithms, this study presents a dynamic distributed multi-objective mantis search algorithm based on Transformer hybrid strategy (Transformer-DDMOMSA). The Transformer-DDDMOMSA strengthens the exploratory capacity of Transformer-DDMOMSA to avoid premature convergence by introducing a hybrid strategy consisting of the Transformer prediction strategy, Levy Flight, and Gaussian mutation. Simulation results indicate that Transformer-DDMOMSA is compared with non-dominated sorting moth flame optimization, multi-objective gray wolf optimizer, multi-objective mantis search algorithm, and multi-objective ant-lion optimizer: (1) in case I, generator costs are reduced by at least 2.36 %, 2.54 %, 2.30 %, and 4.20 %, respectively, while carbon dioxide emissions are reduced by at least 6.11 %, 9.92 %, 4.64 %, and 13.45 %, respectively; (2) in case II, generator costs are reduced by at least 2.38 %, 2.37 %, 1.92 %, and 2.70 %, respectively, while carbon dioxide emissions are reduced by at least 8.80 %, 12.01 %, 8.76 %, and 13.14 %, respectively; (3) the Transformer-DDMOMSA performs excellent in three evaluation metrics values of diversity, Euclidean distance and hypervolume. |
| ArticleNumber | 136075 |
| Author | Yin, Linfei Zeng, Haozheng Lu, Quan |
| Author_xml | – sequence: 1 givenname: Quan orcidid: 0009-0004-0332-7188 surname: Lu fullname: Lu, Quan – sequence: 2 givenname: Haozheng orcidid: 0009-0003-6803-6712 surname: Zeng fullname: Zeng, Haozheng – sequence: 3 givenname: Linfei orcidid: 0000-0001-8343-3669 surname: Yin fullname: Yin, Linfei email: yinlinfei@gxu.edu.cn |
| BookMark | eNp9kD1PwzAQhj0UiRb4BwweWVJsp87HgoTKp1SJpcyWY18aR4ldbLcoGz-dRGFmutPd-76ne1ZoYZ0FhG4pWVNCs_t2DRb8YVgzwviaphnJ-QItydgkfLNhl2gVQksI4UVZLtHP02BlbxTWJkRvqlMEjftTF03iqhZUNGfAvbTRBBxAetVg2R2cN7HpcSXDqHYW7720oXa-B4-bofJG4zFNRjgMeBxj687Q4aP7HvdhCBH66d5RRtVco4tadgFu_uoV-nx53m_fkt3H6_v2cZcoRouYyA3LoNSMasbzkqW5TCnLeEnLihdpXigtNdckh5oTSJmqaVUorjNeaVnqqkiv0N2ce_Tu6wQhit4EBV0nLbhTECkjGS05IZN0M0uVdyF4qMXRm176QVAiJsiiFTNkMUEWM-TR9jDbYHzjbMCLoAxYBdr4EaTQzvwf8Avr-47L |
| Cites_doi | 10.1016/j.apenergy.2019.114232 10.1016/j.enconman.2020.112595 10.1016/j.energy.2020.117347 10.1016/j.enconman.2021.114562 10.1016/j.jclepro.2019.119453 10.1016/j.energy.2023.128954 10.1016/j.energy.2024.133197 10.1016/j.asoc.2021.108345 10.1016/j.apenergy.2023.121167 10.1109/TSG.2023.3329459 10.1016/j.enconman.2023.117013 10.1016/j.apenergy.2021.118345 10.1016/j.apenergy.2024.123243 10.1016/j.energy.2023.127364 10.1016/j.energy.2021.120592 10.1109/TSTE.2021.3101520 10.1016/j.enconman.2021.115154 10.1016/j.renene.2022.06.033 10.1016/j.cma.2024.116840 10.1016/j.apenergy.2023.121643 10.1016/j.enconman.2021.114381 10.1016/j.enconman.2024.118695 10.1016/j.energy.2021.119898 10.1109/TPWRS.2010.2051168 10.1016/j.energy.2021.121829 10.1016/j.ijepes.2020.106458 10.1016/j.energy.2018.09.069 10.1016/j.energy.2023.128668 10.1109/TCYB.2019.2933499 10.1016/j.apenergy.2023.121868 10.1016/j.energy.2024.131357 10.1016/j.asoc.2024.111845 10.1016/j.jclepro.2023.135905 10.1016/j.apenergy.2021.116709 10.1016/j.eswa.2023.122666 10.1016/j.apenergy.2019.02.038 10.1016/j.apenergy.2018.10.037 10.1016/j.jclepro.2024.142659 10.1016/j.apenergy.2022.119123 10.1016/j.apenergy.2022.119438 10.1016/j.jclepro.2023.140130 10.1016/j.energy.2021.120513 10.1016/j.jclepro.2023.136303 10.1016/j.eswa.2023.120827 10.1016/j.apenergy.2017.08.008 10.1016/j.apenergy.2021.117900 10.1016/j.enconman.2021.114051 10.1016/j.ijepes.2020.106371 10.1016/j.enconman.2019.111991 10.1109/TPWRS.2023.3303313 10.1016/j.cma.2023.116200 10.1016/j.energy.2024.130996 10.1016/j.eswa.2024.125259 10.1016/j.apenergy.2024.124773 10.1016/j.enconman.2021.115190 10.1016/j.energy.2024.130529 10.1016/j.energy.2020.119130 10.1016/j.enconman.2023.117410 |
| ContentType | Journal Article |
| Copyright | 2025 Elsevier Ltd |
| Copyright_xml | – notice: 2025 Elsevier Ltd |
| DBID | AAYXX CITATION 7S9 L.6 |
| DOI | 10.1016/j.energy.2025.136075 |
| DatabaseName | CrossRef AGRICOLA AGRICOLA - Academic |
| DatabaseTitle | CrossRef AGRICOLA AGRICOLA - Academic |
| DatabaseTitleList | AGRICOLA |
| DeliveryMethod | fulltext_linktorsrc |
| Discipline | Economics Environmental Sciences |
| ExternalDocumentID | 10_1016_j_energy_2025_136075 S0360544225017177 |
| GroupedDBID | --K --M .DC .~1 0R~ 1B1 1RT 1~. 1~5 4.4 457 4G. 5GY 5VS 7-5 71M 8P~ 9JN AABNK AAEDT AAEDW AAHBH AAHCO AAIKC AAIKJ AAKOC AALRI AAMNW AAOAW AAQFI AARJD AATTM AAXKI AAXUO AAYWO ABJNI ABMAC ACDAQ ACGFS ACIWK ACLOT ACRLP ACVFH ADBBV ADCNI ADEZE AEBSH AEIPS AEKER AENEX AEUPX AFJKZ AFPUW AFRAH AFTJW AGHFR AGUBO AGYEJ AHIDL AIEXJ AIGII AIIUN AIKHN AITUG AKBMS AKRWK AKYEP ALMA_UNASSIGNED_HOLDINGS AMRAJ ANKPU APXCP AXJTR BELTK BKOJK BLXMC CS3 DU5 EBS EFJIC EFKBS EFLBG EO8 EO9 EP2 EP3 FDB FIRID FNPLU FYGXN G-Q GBLVA IHE J1W JARJE KOM LY6 M41 MO0 N9A O-L O9- OAUVE OZT P-8 P-9 P2P PC. Q38 RNS ROL RPZ SDF SDG SES SEW SPC SPCBC SSR SSZ T5K TN5 XPP ZMT ~02 ~G- ~HD 29G 6TJ 9DU AAQXK AAYXX ABDPE ABFNM ABWVN ABXDB ACRPL ADMUD ADNMO ADXHL AGQPQ AHHHB ASPBG AVWKF AZFZN CITATION EJD FEDTE FGOYB G-2 HVGLF HZ~ R2- SAC WUQ 7S9 L.6 |
| ID | FETCH-LOGICAL-c218t-a426e9d21d2579237a31265919b58378cdad5d07ef50e32cf1b8c5d65bda9db83 |
| ISICitedReferencesCount | 2 |
| ISICitedReferencesURI | http://www.webofscience.com/api/gateway?GWVersion=2&SrcApp=Summon&SrcAuth=ProQuest&DestLinkType=CitingArticles&DestApp=WOS_CPL&KeyUT=001471604800001&url=https%3A%2F%2Fcvtisr.summon.serialssolutions.com%2F%23%21%2Fsearch%3Fho%3Df%26include.ft.matches%3Dt%26l%3Dnull%26q%3D |
| ISSN | 0360-5442 |
| IngestDate | Thu Oct 02 21:44:45 EDT 2025 Sat Nov 29 07:24:03 EST 2025 Sat Oct 25 17:52:45 EDT 2025 |
| IsPeerReviewed | true |
| IsScholarly | true |
| Keywords | Levy flight and Gaussian mutation Distributed multi-objective mantis search algorithm Transformer prediction strategy Distributed novel power systems |
| Language | English |
| LinkModel | OpenURL |
| MergedId | FETCHMERGED-LOGICAL-c218t-a426e9d21d2579237a31265919b58378cdad5d07ef50e32cf1b8c5d65bda9db83 |
| Notes | ObjectType-Article-1 SourceType-Scholarly Journals-1 ObjectType-Feature-2 content type line 23 |
| ORCID | 0009-0003-6803-6712 0009-0004-0332-7188 0000-0001-8343-3669 |
| PQID | 3206195008 |
| PQPubID | 24069 |
| ParticipantIDs | proquest_miscellaneous_3206195008 crossref_primary_10_1016_j_energy_2025_136075 elsevier_sciencedirect_doi_10_1016_j_energy_2025_136075 |
| PublicationCentury | 2000 |
| PublicationDate | 2025-06-01 2025-06-00 20250601 |
| PublicationDateYYYYMMDD | 2025-06-01 |
| PublicationDate_xml | – month: 06 year: 2025 text: 2025-06-01 day: 01 |
| PublicationDecade | 2020 |
| PublicationTitle | Energy (Oxford) |
| PublicationYear | 2025 |
| Publisher | Elsevier Ltd |
| Publisher_xml | – name: Elsevier Ltd |
| References | Samende, Cao, Fan (bib25) 2022; 317 Mansoor, Abou Houran, Al-Tawalbeh, Hamza Zafar, Akhtar (bib21) 2024; 23 Yang, Swe, Chen, Zeng, Shu, Li (bib1) 2021; 215 Yin, Cai (bib60) 2024; 434 Chen, Qu, Yu, Yang, Zhang, Lan (bib2) 2020; 253 Li, Wang, Wang (bib18) 2021; 228 Qu, Shi, Yu, Wang (bib20) 2019; 240 Zhou, Chen, Xu, Ou, Yin, Luo (bib52) 2023; 342 Li, Feng, Li, Qi, Zhao, Mu (bib35) 2018; 210 Yin, Cai (bib57) 2024; 295 Yin, Sun (bib33) 2022; 117 Yin, Lin (bib17) 2024; 298 Xin, Sun, Zhao, Li, Chen (bib54) 2023; 282 Ahmadi, Adewuyi, Danish, Mandal, Yona, Senjyu (bib19) 2021; 125 Zhang, Yu, Xu, Fan (bib27) 2018; 165 Zimmerman, Murillo-Sánchez, Thomas (bib59) 2011; 26 Yang, Li, Qin, Luo, Duan, Liu (bib46) 2024; 293 Wang, Yang, Li, Zeng, Chen, Guo (bib47) 2021; 236 Wang, Lu, Li, Zhang (bib12) 2023; 285 Wang, Zhong, Pan, Yu, Qiu (bib28) 2022; 322 Yang, Wang, Zhang, Zhang, Shu, Li (bib45) 2019; 199 Li, Yu, Zhang (bib11) 2022; 306 Yin, Ding (bib34) 2025; 259 Zhu, Zhao, Yang, Zhang, Xu (bib15) 2022; 238 Shin, Kim (bib48) 2023; 275 Zhang, Hu, Cao, Li, Zhang, Chen (bib8) 2021; 243 Islam, Elmekki, Elsebai, Bentahar, Drawel, Rjoub (bib40) 2024; 241 . Yang, Wu, Huang, Guo, Wang, Zhang (bib43) 2023; 292 Zhang, Li, Wu, Pan, Wu (bib49) 2022; 309 National energy administration of China. Transcript of the national energy administration's press conference for the first half of 2024 Zhang, Yu, Yang, Jiang (bib24) 2021; 12 Hossain, Roy, Mohammad, Nawar, Dipta (bib13) 2021; 290 Alam, Kaif, Das (bib23) 2024; 365 Qu, Yu, Zhang, Li (bib29) 2019; 233–234 Yang, Li, Huang, Li, Zheng, Duan (bib36) 2023; 351 Yang, Li, Zeng, Chen, Guo, Wang (bib6) 2021; 228 Wei, Liu, Siraj, Xu, Taneja, Wang (bib50) 2024; 463 Çetinbaş, Tamyürek, Demirtaş (bib22) 2021; 245 Ouyang, Tan, Wu, Xie, Li (bib3) 2022; 195 Qu, Chen, Xie, Zheng, Zhu (bib44) 2024; 39 Wu, Li, Chen, Lin, Yi, Chen (bib14) 2021; 222 Al-Othman, Tawalbeh, Martis, Dhou, Orhan, Qasim (bib30) 2022; 253 Abdel-Basset, Mohamed, Zidan, Jameel, Abouhawwash (bib58) 2023; 415 Zhao, Liu, Li, Ji, Wang (bib4) 2022; 253 (bib41) 2022; 235 Jameel, Abouhawwash (bib39) 2024; 422 Pan, Yu, Li, Qu, Yang (bib9) 2020; 198 Wang, Zhan, Yu, Lin, Zhang, Gu (bib51) 2020; 50 Zhang, Tan, Yang, Wang, Li, He (bib32) 2020; 260 Chen, Yu, Pan, Zhang, Lu, Zhu (bib38) 2024; 15 Yin, Ding (bib16) 2024; 162 Sun, Zhang, Zhou, Han, Zang, Wei (bib55) 2023; 393 Lu, Huang, Yin (bib5) 2025; 377 Rizqi, Chou, Yu (bib37) 2023; 349 Wang, Wen, Wang, Yang, Jiang (bib10) 2024; 314 Liu, Zhao, Zhao, You, Hou, Yu (bib7) 2023; 285 Yu, Duan, Cai (bib42) 2023; 232 Yin, Zhang (bib26) 2024; 310 Li, Wang, Zhang, Yu, Wang, Li (bib56) 2023; 390 Yang, Wang, Zhang, Yu, Yao, Shu (bib31) 2020; 208 Zhang, Tan, Zhou, Yu, Yang, Huang (bib53) 2021; 124 Chen (10.1016/j.energy.2025.136075_bib2) 2020; 253 Liu (10.1016/j.energy.2025.136075_bib7) 2023; 285 Al-Othman (10.1016/j.energy.2025.136075_bib30) 2022; 253 10.1016/j.energy.2025.136075_bib61 Mansoor (10.1016/j.energy.2025.136075_bib21) 2024; 23 Zhu (10.1016/j.energy.2025.136075_bib15) 2022; 238 Abdel-Basset (10.1016/j.energy.2025.136075_bib58) 2023; 415 Islam (10.1016/j.energy.2025.136075_bib40) 2024; 241 Yin (10.1016/j.energy.2025.136075_bib26) 2024; 310 Jameel (10.1016/j.energy.2025.136075_bib39) 2024; 422 Zimmerman (10.1016/j.energy.2025.136075_bib59) 2011; 26 Wei (10.1016/j.energy.2025.136075_bib50) 2024; 463 Zhou (10.1016/j.energy.2025.136075_bib52) 2023; 342 Li (10.1016/j.energy.2025.136075_bib35) 2018; 210 Yang (10.1016/j.energy.2025.136075_bib46) 2024; 293 Yu (10.1016/j.energy.2025.136075_bib42) 2023; 232 Yin (10.1016/j.energy.2025.136075_bib33) 2022; 117 Zhang (10.1016/j.energy.2025.136075_bib27) 2018; 165 Yang (10.1016/j.energy.2025.136075_bib43) 2023; 292 Yin (10.1016/j.energy.2025.136075_bib60) 2024; 434 Alam (10.1016/j.energy.2025.136075_bib23) 2024; 365 (10.1016/j.energy.2025.136075_bib41) 2022; 235 Qu (10.1016/j.energy.2025.136075_bib20) 2019; 240 Li (10.1016/j.energy.2025.136075_bib11) 2022; 306 Yin (10.1016/j.energy.2025.136075_bib16) 2024; 162 Ouyang (10.1016/j.energy.2025.136075_bib3) 2022; 195 Zhang (10.1016/j.energy.2025.136075_bib32) 2020; 260 Qu (10.1016/j.energy.2025.136075_bib44) 2024; 39 Yang (10.1016/j.energy.2025.136075_bib31) 2020; 208 Rizqi (10.1016/j.energy.2025.136075_bib37) 2023; 349 Li (10.1016/j.energy.2025.136075_bib18) 2021; 228 Shin (10.1016/j.energy.2025.136075_bib48) 2023; 275 Qu (10.1016/j.energy.2025.136075_bib29) 2019; 233–234 Çetinbaş (10.1016/j.energy.2025.136075_bib22) 2021; 245 Li (10.1016/j.energy.2025.136075_bib56) 2023; 390 Sun (10.1016/j.energy.2025.136075_bib55) 2023; 393 Yang (10.1016/j.energy.2025.136075_bib45) 2019; 199 Zhao (10.1016/j.energy.2025.136075_bib4) 2022; 253 Yang (10.1016/j.energy.2025.136075_bib36) 2023; 351 Zhang (10.1016/j.energy.2025.136075_bib8) 2021; 243 Wang (10.1016/j.energy.2025.136075_bib12) 2023; 285 Yin (10.1016/j.energy.2025.136075_bib34) 2025; 259 Ahmadi (10.1016/j.energy.2025.136075_bib19) 2021; 125 Yang (10.1016/j.energy.2025.136075_bib6) 2021; 228 Wu (10.1016/j.energy.2025.136075_bib14) 2021; 222 Yin (10.1016/j.energy.2025.136075_bib57) 2024; 295 Wang (10.1016/j.energy.2025.136075_bib28) 2022; 322 Yang (10.1016/j.energy.2025.136075_bib1) 2021; 215 Wang (10.1016/j.energy.2025.136075_bib51) 2020; 50 Zhang (10.1016/j.energy.2025.136075_bib24) 2021; 12 Xin (10.1016/j.energy.2025.136075_bib54) 2023; 282 Zhang (10.1016/j.energy.2025.136075_bib53) 2021; 124 Hossain (10.1016/j.energy.2025.136075_bib13) 2021; 290 Yin (10.1016/j.energy.2025.136075_bib17) 2024; 298 Zhang (10.1016/j.energy.2025.136075_bib49) 2022; 309 Wang (10.1016/j.energy.2025.136075_bib10) 2024; 314 Wang (10.1016/j.energy.2025.136075_bib47) 2021; 236 Samende (10.1016/j.energy.2025.136075_bib25) 2022; 317 Lu (10.1016/j.energy.2025.136075_bib5) 2025; 377 Chen (10.1016/j.energy.2025.136075_bib38) 2024; 15 Pan (10.1016/j.energy.2025.136075_bib9) 2020; 198 |
| References_xml | – volume: 365 year: 2024 ident: bib23 article-title: A blockchain-based optimal peer-to-peer energy trading framework for decentralized energy management with in a virtual power plant: lab scale studies and large scale proposal publication-title: Appl Energy – volume: 275 year: 2023 ident: bib48 article-title: Comparison of the centralized and decentralized environmentally constrained economic dispatch methods of coal-fired generators: a case study for South Korea publication-title: Energy – volume: 434 year: 2024 ident: bib60 article-title: Multimodal hierarchical distributed multi-objective moth intelligence algorithm for economic dispatch of power systems publication-title: J Clean Prod – volume: 377 year: 2025 ident: bib5 article-title: Decomposition prediction fractional-order active disturbance rejection control deep Q network for generation control of integrated energy systems publication-title: Appl Energy – volume: 228 year: 2021 ident: bib18 article-title: A novel bi-level robust game model to optimize a regionally integrated energy system with large-scale centralized renewable-energy sources in western China publication-title: Energy – volume: 290 year: 2021 ident: bib13 article-title: Metrics and enhancement strategies for grid resilience and reliability during natural disasters publication-title: Appl Energy – volume: 243 year: 2021 ident: bib8 article-title: Soft actor-critic –based multi-objective optimized energy conversion and management strategy for integrated energy systems with renewable energy publication-title: Energy Convers Manag – volume: 241 year: 2024 ident: bib40 article-title: A comprehensive survey on applications of transformers for deep learning tasks publication-title: Expert Syst Appl – volume: 232 year: 2023 ident: bib42 article-title: Sub-population improved grey wolf optimizer with Gaussian mutation and Lévy flight for parameters identification of photovoltaic models publication-title: Expert Syst Appl – volume: 342 year: 2023 ident: bib52 article-title: A novel multi-agent based crisscross algorithm with hybrid neighboring topology for combined heat and power economic dispatch publication-title: Appl Energy – volume: 253 year: 2020 ident: bib2 article-title: Multi-timescale and multi-objective power dispatch strategy incorporating air pollutant temporal and spatial distribution control publication-title: J Clean Prod – volume: 124 year: 2021 ident: bib53 article-title: Adaptive distributed auction-based algorithm for optimal mileage based AGC dispatch with high participation of renewable energy publication-title: Int J Electr Power Energy Syst – volume: 322 year: 2022 ident: bib28 article-title: Optimal double Q AC-DC hybrid distribution system planning with explicit topology-variable-based reliability assessment publication-title: Appl Energy – volume: 393 year: 2023 ident: bib55 article-title: Bi-level model for integrated energy service providers in joint electricity and carbon P2P market publication-title: J Clean Prod – volume: 295 year: 2024 ident: bib57 article-title: Multimodal multi-objective hierarchical distributed consensus method for multimodal multi-objective economic dispatch of hierarchical distributed power systems publication-title: Energy – volume: 165 start-page: 205 year: 2018 end-page: 221 ident: bib27 article-title: A cyber-physical-social system with parallel learning for distributed energy management of a microgrid publication-title: Energy – volume: 306 year: 2022 ident: bib11 article-title: Coordinated load frequency control of multi-area integrated energy system using multi-agent deep reinforcement learning publication-title: Appl Energy – volume: 117 year: 2022 ident: bib33 article-title: Distributed multi-objective grey wolf optimizer for distributed multi-objective economic dispatch of multi-area interconnected power systems publication-title: Appl Soft Comput – volume: 195 start-page: 214 year: 2022 end-page: 229 ident: bib3 article-title: Energy, exergy and economic benefits deriving from LNG-fired power plant: cold energy power generation combined with carbon dioxide capture publication-title: Renew Energy – volume: 422 year: 2024 ident: bib39 article-title: Multi-objective mantis search algorithm (MOMSA): a novel approach for engineering design problems and validation publication-title: Comput Methods Appl Mech Eng – volume: 310 year: 2024 ident: bib26 article-title: Particle swarm optimization based on data driven for EV charging station siting publication-title: Energy – volume: 253 year: 2022 ident: bib30 article-title: Artificial intelligence and numerical models in hybrid renewable energy systems with fuel cells: advances and prospects publication-title: Energy Convers Manag – volume: 282 year: 2023 ident: bib54 article-title: A categorized and decomposed algorithm for thermal system simulation based on generalized benders decomposition publication-title: Energy – volume: 26 start-page: 12 year: 2011 end-page: 19 ident: bib59 article-title: MATPOWER: steady-state operations, planning, and analysis tools for power systems research and education publication-title: IEEE Trans Power Syst – volume: 198 year: 2020 ident: bib9 article-title: Risk-averse real-time dispatch of integrated electricity and heat system using a modified approximate dynamic programming approach publication-title: Energy – volume: 260 year: 2020 ident: bib32 article-title: Greedy search based data-driven algorithm of centralized thermoelectric generation system under non-uniform temperature distribution publication-title: Appl Energy – volume: 314 year: 2024 ident: bib10 article-title: Coordinated scheduling of wind-solar-hydrogen-battery storage system for techno-economic-environmental optimization of hydrogen production publication-title: Energy Convers Manag – volume: 463 year: 2024 ident: bib50 article-title: Balancing clean and quality production goals: a multi-analytical approach to scrutinizing the influencing factors in China's manufacturing industry publication-title: J Clean Prod – volume: 349 year: 2023 ident: bib37 article-title: Green energy mix modeling under supply uncertainty: hybrid system dynamics and adaptive PSO approach publication-title: Appl Energy – volume: 228 year: 2021 ident: bib6 article-title: Parameter extraction of PEMFC via Bayesian regularization neural network based meta-heuristic algorithms publication-title: Energy – volume: 233–234 start-page: 338 year: 2019 end-page: 351 ident: bib29 article-title: Homogenized adjacent points method: a novel pareto optimizer for linearized multi-objective optimal energy flow of integrated electricity and gas system publication-title: Appl Energy – volume: 208 year: 2020 ident: bib31 article-title: Comprehensive overview of meta-heuristic algorithm applications on PV cell parameter identification publication-title: Energy Convers Manag – volume: 259 year: 2025 ident: bib34 article-title: Dual deep neural networks-accelerated non-dominated sorting moth flame optimizer for distributed multi-objective economic dispatch publication-title: Expert Syst Appl – volume: 298 year: 2024 ident: bib17 article-title: Matrix Wasserstein distance generative adversarial network with gradient penalty for fast low-carbon economic dispatch of novel power systems publication-title: Energy – volume: 199 year: 2019 ident: bib45 article-title: MPPT design of centralized thermoelectric generation system using adaptive compass search under non-uniform temperature distribution condition publication-title: Energy Convers Manag – volume: 240 start-page: 630 year: 2019 end-page: 645 ident: bib20 article-title: A convex decentralized optimization for environmental-economic power and gas system considering diversified emission control publication-title: Appl Energy – volume: 309 year: 2022 ident: bib49 article-title: Dynamic energy flow analysis of integrated gas and electricity systems using the holomorphic embedding method publication-title: Appl Energy – volume: 253 year: 2022 ident: bib4 article-title: An energetic, economic and environmental evaluation of a dual-source heat pump water heater – a case study in Beijing publication-title: Energy Convers Manag – volume: 238 year: 2022 ident: bib15 article-title: A parallel meta-heuristic method for solving large scale unit commitment considering the integration of new energy sectors publication-title: Energy – volume: 285 year: 2023 ident: bib12 article-title: Carbon-neutral power system transition pathways for coal-dominant and renewable resource-abundant regions: Inner Mongolia as a case study publication-title: Energy Convers Manag – volume: 125 year: 2021 ident: bib19 article-title: Optimum coordination of centralized and distributed renewable power generation incorporating battery storage system into the electric distribution network publication-title: Int J Electr Power Energy Syst – volume: 23 year: 2024 ident: bib21 article-title: Thermoelectric power generation system intelligent runge kutta control: a performance analysis using processor in loop testing publication-title: Energy Convers Manag X – volume: 245 year: 2021 ident: bib22 article-title: Sizing optimization and design of an autonomous AC microgrid for commercial loads using harris hawks optimization algorithm publication-title: Energy Convers Manag – reference: National energy administration of China. Transcript of the national energy administration's press conference for the first half of 2024, – volume: 235 year: 2022 ident: bib41 article-title: Dynamic levy flight chimp optimization publication-title: Knowl Base Syst – volume: 222 year: 2021 ident: bib14 article-title: Distributed optimization method with weighted gradients for economic dispatch problem of multi-microgrid systems publication-title: Energy – volume: 236 year: 2021 ident: bib47 article-title: Photovoltaic cell parameter estimation based on improved equilibrium optimizer algorithm publication-title: Energy Convers Manag – volume: 15 start-page: 3303 year: 2024 end-page: 3315 ident: bib38 article-title: Stochastic dynamic power dispatch with human knowledge transfer using Graph-GAN assisted inverse reinforcement learning publication-title: IEEE Trans Smart Grid – volume: 39 start-page: 2970 year: 2024 end-page: 2983 ident: bib44 article-title: Segmented distributionally robust optimization for real-time power dispatch with wind uncertainty publication-title: IEEE Trans Power Syst – volume: 162 year: 2024 ident: bib16 article-title: Deep neural network accelerated-group African vulture optimization algorithm for unit commitment considering uncertain wind power publication-title: Appl Soft Comput – reference: .. – volume: 12 start-page: 2471 year: 2021 end-page: 2481 ident: bib24 article-title: A random forest-assisted fast distributed auction-based algorithm for hierarchical coordinated power control in a large-scale PV power plant publication-title: IEEE Trans Sustain Energy – volume: 210 start-page: 1073 year: 2018 end-page: 1081 ident: bib35 article-title: Optimal distributed generation planning in active distribution networks considering integration of energy storage publication-title: Appl Energy – volume: 285 year: 2023 ident: bib7 article-title: Improving the economic and environmental benefits of the energy system: a novel hybrid economic emission dispatch considering clean energy power uncertainty publication-title: Energy – volume: 292 year: 2023 ident: bib43 article-title: Salp swarm optimization algorithm based MPPT design for PV-TEG hybrid system under partial shading conditions publication-title: Energy Convers Manag – volume: 293 year: 2024 ident: bib46 article-title: Extracted power optimization of hybrid wind-wave energy converters array layout via enhanced snake optimizer publication-title: Energy – volume: 351 year: 2023 ident: bib36 article-title: Modular reconfiguration of hybrid PV-TEG systems via artificial rabbit algorithm: modelling, design and HIL validation publication-title: Appl Energy – volume: 215 year: 2021 ident: bib1 article-title: Energy cooperation between Myanmar and China under one belt one road: current state, challenges and perspectives publication-title: Energy – volume: 390 year: 2023 ident: bib56 article-title: A multi-objective planning method for multi-energy complementary distributed energy system: tackling thermal integration and process synergy publication-title: J Clean Prod – volume: 317 year: 2022 ident: bib25 article-title: Multi-agent deep deterministic policy gradient algorithm for peer-to-peer energy trading considering distribution network constraints publication-title: Appl Energy – volume: 50 start-page: 2715 year: 2020 end-page: 2729 ident: bib51 article-title: Dynamic group learning distributed particle swarm optimization for large-scale optimization and its application in cloud workflow scheduling publication-title: IEEE Trans Cybern – volume: 415 year: 2023 ident: bib58 article-title: Mantis search algorithm: a novel bio-inspired algorithm for global optimization and engineering design problems publication-title: Comput Methods Appl Mech Eng – volume: 260 year: 2020 ident: 10.1016/j.energy.2025.136075_bib32 article-title: Greedy search based data-driven algorithm of centralized thermoelectric generation system under non-uniform temperature distribution publication-title: Appl Energy doi: 10.1016/j.apenergy.2019.114232 – volume: 208 year: 2020 ident: 10.1016/j.energy.2025.136075_bib31 article-title: Comprehensive overview of meta-heuristic algorithm applications on PV cell parameter identification publication-title: Energy Convers Manag doi: 10.1016/j.enconman.2020.112595 – volume: 198 year: 2020 ident: 10.1016/j.energy.2025.136075_bib9 article-title: Risk-averse real-time dispatch of integrated electricity and heat system using a modified approximate dynamic programming approach publication-title: Energy doi: 10.1016/j.energy.2020.117347 – volume: 245 year: 2021 ident: 10.1016/j.energy.2025.136075_bib22 article-title: Sizing optimization and design of an autonomous AC microgrid for commercial loads using harris hawks optimization algorithm publication-title: Energy Convers Manag doi: 10.1016/j.enconman.2021.114562 – volume: 253 year: 2020 ident: 10.1016/j.energy.2025.136075_bib2 article-title: Multi-timescale and multi-objective power dispatch strategy incorporating air pollutant temporal and spatial distribution control publication-title: J Clean Prod doi: 10.1016/j.jclepro.2019.119453 – volume: 282 year: 2023 ident: 10.1016/j.energy.2025.136075_bib54 article-title: A categorized and decomposed algorithm for thermal system simulation based on generalized benders decomposition publication-title: Energy doi: 10.1016/j.energy.2023.128954 – volume: 235 year: 2022 ident: 10.1016/j.energy.2025.136075_bib41 article-title: Dynamic levy flight chimp optimization publication-title: Knowl Base Syst – volume: 310 year: 2024 ident: 10.1016/j.energy.2025.136075_bib26 article-title: Particle swarm optimization based on data driven for EV charging station siting publication-title: Energy doi: 10.1016/j.energy.2024.133197 – volume: 117 year: 2022 ident: 10.1016/j.energy.2025.136075_bib33 article-title: Distributed multi-objective grey wolf optimizer for distributed multi-objective economic dispatch of multi-area interconnected power systems publication-title: Appl Soft Comput doi: 10.1016/j.asoc.2021.108345 – volume: 342 year: 2023 ident: 10.1016/j.energy.2025.136075_bib52 article-title: A novel multi-agent based crisscross algorithm with hybrid neighboring topology for combined heat and power economic dispatch publication-title: Appl Energy doi: 10.1016/j.apenergy.2023.121167 – volume: 15 start-page: 3303 year: 2024 ident: 10.1016/j.energy.2025.136075_bib38 article-title: Stochastic dynamic power dispatch with human knowledge transfer using Graph-GAN assisted inverse reinforcement learning publication-title: IEEE Trans Smart Grid doi: 10.1109/TSG.2023.3329459 – volume: 285 year: 2023 ident: 10.1016/j.energy.2025.136075_bib12 article-title: Carbon-neutral power system transition pathways for coal-dominant and renewable resource-abundant regions: Inner Mongolia as a case study publication-title: Energy Convers Manag doi: 10.1016/j.enconman.2023.117013 – ident: 10.1016/j.energy.2025.136075_bib61 – volume: 309 year: 2022 ident: 10.1016/j.energy.2025.136075_bib49 article-title: Dynamic energy flow analysis of integrated gas and electricity systems using the holomorphic embedding method publication-title: Appl Energy doi: 10.1016/j.apenergy.2021.118345 – volume: 365 year: 2024 ident: 10.1016/j.energy.2025.136075_bib23 article-title: A blockchain-based optimal peer-to-peer energy trading framework for decentralized energy management with in a virtual power plant: lab scale studies and large scale proposal publication-title: Appl Energy doi: 10.1016/j.apenergy.2024.123243 – volume: 275 year: 2023 ident: 10.1016/j.energy.2025.136075_bib48 article-title: Comparison of the centralized and decentralized environmentally constrained economic dispatch methods of coal-fired generators: a case study for South Korea publication-title: Energy doi: 10.1016/j.energy.2023.127364 – volume: 23 year: 2024 ident: 10.1016/j.energy.2025.136075_bib21 article-title: Thermoelectric power generation system intelligent runge kutta control: a performance analysis using processor in loop testing publication-title: Energy Convers Manag X – volume: 228 year: 2021 ident: 10.1016/j.energy.2025.136075_bib6 article-title: Parameter extraction of PEMFC via Bayesian regularization neural network based meta-heuristic algorithms publication-title: Energy doi: 10.1016/j.energy.2021.120592 – volume: 12 start-page: 2471 year: 2021 ident: 10.1016/j.energy.2025.136075_bib24 article-title: A random forest-assisted fast distributed auction-based algorithm for hierarchical coordinated power control in a large-scale PV power plant publication-title: IEEE Trans Sustain Energy doi: 10.1109/TSTE.2021.3101520 – volume: 253 year: 2022 ident: 10.1016/j.energy.2025.136075_bib30 article-title: Artificial intelligence and numerical models in hybrid renewable energy systems with fuel cells: advances and prospects publication-title: Energy Convers Manag doi: 10.1016/j.enconman.2021.115154 – volume: 195 start-page: 214 year: 2022 ident: 10.1016/j.energy.2025.136075_bib3 article-title: Energy, exergy and economic benefits deriving from LNG-fired power plant: cold energy power generation combined with carbon dioxide capture publication-title: Renew Energy doi: 10.1016/j.renene.2022.06.033 – volume: 422 year: 2024 ident: 10.1016/j.energy.2025.136075_bib39 article-title: Multi-objective mantis search algorithm (MOMSA): a novel approach for engineering design problems and validation publication-title: Comput Methods Appl Mech Eng doi: 10.1016/j.cma.2024.116840 – volume: 349 year: 2023 ident: 10.1016/j.energy.2025.136075_bib37 article-title: Green energy mix modeling under supply uncertainty: hybrid system dynamics and adaptive PSO approach publication-title: Appl Energy doi: 10.1016/j.apenergy.2023.121643 – volume: 243 year: 2021 ident: 10.1016/j.energy.2025.136075_bib8 article-title: Soft actor-critic –based multi-objective optimized energy conversion and management strategy for integrated energy systems with renewable energy publication-title: Energy Convers Manag doi: 10.1016/j.enconman.2021.114381 – volume: 314 year: 2024 ident: 10.1016/j.energy.2025.136075_bib10 article-title: Coordinated scheduling of wind-solar-hydrogen-battery storage system for techno-economic-environmental optimization of hydrogen production publication-title: Energy Convers Manag doi: 10.1016/j.enconman.2024.118695 – volume: 222 year: 2021 ident: 10.1016/j.energy.2025.136075_bib14 article-title: Distributed optimization method with weighted gradients for economic dispatch problem of multi-microgrid systems publication-title: Energy doi: 10.1016/j.energy.2021.119898 – volume: 26 start-page: 12 year: 2011 ident: 10.1016/j.energy.2025.136075_bib59 article-title: MATPOWER: steady-state operations, planning, and analysis tools for power systems research and education publication-title: IEEE Trans Power Syst doi: 10.1109/TPWRS.2010.2051168 – volume: 238 year: 2022 ident: 10.1016/j.energy.2025.136075_bib15 article-title: A parallel meta-heuristic method for solving large scale unit commitment considering the integration of new energy sectors publication-title: Energy doi: 10.1016/j.energy.2021.121829 – volume: 125 year: 2021 ident: 10.1016/j.energy.2025.136075_bib19 article-title: Optimum coordination of centralized and distributed renewable power generation incorporating battery storage system into the electric distribution network publication-title: Int J Electr Power Energy Syst doi: 10.1016/j.ijepes.2020.106458 – volume: 165 start-page: 205 year: 2018 ident: 10.1016/j.energy.2025.136075_bib27 article-title: A cyber-physical-social system with parallel learning for distributed energy management of a microgrid publication-title: Energy doi: 10.1016/j.energy.2018.09.069 – volume: 285 year: 2023 ident: 10.1016/j.energy.2025.136075_bib7 article-title: Improving the economic and environmental benefits of the energy system: a novel hybrid economic emission dispatch considering clean energy power uncertainty publication-title: Energy doi: 10.1016/j.energy.2023.128668 – volume: 50 start-page: 2715 year: 2020 ident: 10.1016/j.energy.2025.136075_bib51 article-title: Dynamic group learning distributed particle swarm optimization for large-scale optimization and its application in cloud workflow scheduling publication-title: IEEE Trans Cybern doi: 10.1109/TCYB.2019.2933499 – volume: 351 year: 2023 ident: 10.1016/j.energy.2025.136075_bib36 article-title: Modular reconfiguration of hybrid PV-TEG systems via artificial rabbit algorithm: modelling, design and HIL validation publication-title: Appl Energy doi: 10.1016/j.apenergy.2023.121868 – volume: 298 year: 2024 ident: 10.1016/j.energy.2025.136075_bib17 article-title: Matrix Wasserstein distance generative adversarial network with gradient penalty for fast low-carbon economic dispatch of novel power systems publication-title: Energy doi: 10.1016/j.energy.2024.131357 – volume: 162 year: 2024 ident: 10.1016/j.energy.2025.136075_bib16 article-title: Deep neural network accelerated-group African vulture optimization algorithm for unit commitment considering uncertain wind power publication-title: Appl Soft Comput doi: 10.1016/j.asoc.2024.111845 – volume: 390 year: 2023 ident: 10.1016/j.energy.2025.136075_bib56 article-title: A multi-objective planning method for multi-energy complementary distributed energy system: tackling thermal integration and process synergy publication-title: J Clean Prod doi: 10.1016/j.jclepro.2023.135905 – volume: 290 year: 2021 ident: 10.1016/j.energy.2025.136075_bib13 article-title: Metrics and enhancement strategies for grid resilience and reliability during natural disasters publication-title: Appl Energy doi: 10.1016/j.apenergy.2021.116709 – volume: 241 year: 2024 ident: 10.1016/j.energy.2025.136075_bib40 article-title: A comprehensive survey on applications of transformers for deep learning tasks publication-title: Expert Syst Appl doi: 10.1016/j.eswa.2023.122666 – volume: 240 start-page: 630 year: 2019 ident: 10.1016/j.energy.2025.136075_bib20 article-title: A convex decentralized optimization for environmental-economic power and gas system considering diversified emission control publication-title: Appl Energy doi: 10.1016/j.apenergy.2019.02.038 – volume: 233–234 start-page: 338 year: 2019 ident: 10.1016/j.energy.2025.136075_bib29 article-title: Homogenized adjacent points method: a novel pareto optimizer for linearized multi-objective optimal energy flow of integrated electricity and gas system publication-title: Appl Energy doi: 10.1016/j.apenergy.2018.10.037 – volume: 463 year: 2024 ident: 10.1016/j.energy.2025.136075_bib50 article-title: Balancing clean and quality production goals: a multi-analytical approach to scrutinizing the influencing factors in China's manufacturing industry publication-title: J Clean Prod doi: 10.1016/j.jclepro.2024.142659 – volume: 317 year: 2022 ident: 10.1016/j.energy.2025.136075_bib25 article-title: Multi-agent deep deterministic policy gradient algorithm for peer-to-peer energy trading considering distribution network constraints publication-title: Appl Energy doi: 10.1016/j.apenergy.2022.119123 – volume: 322 year: 2022 ident: 10.1016/j.energy.2025.136075_bib28 article-title: Optimal double Q AC-DC hybrid distribution system planning with explicit topology-variable-based reliability assessment publication-title: Appl Energy doi: 10.1016/j.apenergy.2022.119438 – volume: 434 year: 2024 ident: 10.1016/j.energy.2025.136075_bib60 article-title: Multimodal hierarchical distributed multi-objective moth intelligence algorithm for economic dispatch of power systems publication-title: J Clean Prod doi: 10.1016/j.jclepro.2023.140130 – volume: 228 year: 2021 ident: 10.1016/j.energy.2025.136075_bib18 article-title: A novel bi-level robust game model to optimize a regionally integrated energy system with large-scale centralized renewable-energy sources in western China publication-title: Energy doi: 10.1016/j.energy.2021.120513 – volume: 393 year: 2023 ident: 10.1016/j.energy.2025.136075_bib55 article-title: Bi-level model for integrated energy service providers in joint electricity and carbon P2P market publication-title: J Clean Prod doi: 10.1016/j.jclepro.2023.136303 – volume: 232 year: 2023 ident: 10.1016/j.energy.2025.136075_bib42 article-title: Sub-population improved grey wolf optimizer with Gaussian mutation and Lévy flight for parameters identification of photovoltaic models publication-title: Expert Syst Appl doi: 10.1016/j.eswa.2023.120827 – volume: 210 start-page: 1073 year: 2018 ident: 10.1016/j.energy.2025.136075_bib35 article-title: Optimal distributed generation planning in active distribution networks considering integration of energy storage publication-title: Appl Energy doi: 10.1016/j.apenergy.2017.08.008 – volume: 306 year: 2022 ident: 10.1016/j.energy.2025.136075_bib11 article-title: Coordinated load frequency control of multi-area integrated energy system using multi-agent deep reinforcement learning publication-title: Appl Energy doi: 10.1016/j.apenergy.2021.117900 – volume: 236 year: 2021 ident: 10.1016/j.energy.2025.136075_bib47 article-title: Photovoltaic cell parameter estimation based on improved equilibrium optimizer algorithm publication-title: Energy Convers Manag doi: 10.1016/j.enconman.2021.114051 – volume: 124 year: 2021 ident: 10.1016/j.energy.2025.136075_bib53 article-title: Adaptive distributed auction-based algorithm for optimal mileage based AGC dispatch with high participation of renewable energy publication-title: Int J Electr Power Energy Syst doi: 10.1016/j.ijepes.2020.106371 – volume: 199 year: 2019 ident: 10.1016/j.energy.2025.136075_bib45 article-title: MPPT design of centralized thermoelectric generation system using adaptive compass search under non-uniform temperature distribution condition publication-title: Energy Convers Manag doi: 10.1016/j.enconman.2019.111991 – volume: 39 start-page: 2970 year: 2024 ident: 10.1016/j.energy.2025.136075_bib44 article-title: Segmented distributionally robust optimization for real-time power dispatch with wind uncertainty publication-title: IEEE Trans Power Syst doi: 10.1109/TPWRS.2023.3303313 – volume: 415 year: 2023 ident: 10.1016/j.energy.2025.136075_bib58 article-title: Mantis search algorithm: a novel bio-inspired algorithm for global optimization and engineering design problems publication-title: Comput Methods Appl Mech Eng doi: 10.1016/j.cma.2023.116200 – volume: 295 year: 2024 ident: 10.1016/j.energy.2025.136075_bib57 article-title: Multimodal multi-objective hierarchical distributed consensus method for multimodal multi-objective economic dispatch of hierarchical distributed power systems publication-title: Energy doi: 10.1016/j.energy.2024.130996 – volume: 259 year: 2025 ident: 10.1016/j.energy.2025.136075_bib34 article-title: Dual deep neural networks-accelerated non-dominated sorting moth flame optimizer for distributed multi-objective economic dispatch publication-title: Expert Syst Appl doi: 10.1016/j.eswa.2024.125259 – volume: 377 year: 2025 ident: 10.1016/j.energy.2025.136075_bib5 article-title: Decomposition prediction fractional-order active disturbance rejection control deep Q network for generation control of integrated energy systems publication-title: Appl Energy doi: 10.1016/j.apenergy.2024.124773 – volume: 253 year: 2022 ident: 10.1016/j.energy.2025.136075_bib4 article-title: An energetic, economic and environmental evaluation of a dual-source heat pump water heater – a case study in Beijing publication-title: Energy Convers Manag doi: 10.1016/j.enconman.2021.115190 – volume: 293 year: 2024 ident: 10.1016/j.energy.2025.136075_bib46 article-title: Extracted power optimization of hybrid wind-wave energy converters array layout via enhanced snake optimizer publication-title: Energy doi: 10.1016/j.energy.2024.130529 – volume: 215 year: 2021 ident: 10.1016/j.energy.2025.136075_bib1 article-title: Energy cooperation between Myanmar and China under one belt one road: current state, challenges and perspectives publication-title: Energy doi: 10.1016/j.energy.2020.119130 – volume: 292 year: 2023 ident: 10.1016/j.energy.2025.136075_bib43 article-title: Salp swarm optimization algorithm based MPPT design for PV-TEG hybrid system under partial shading conditions publication-title: Energy Convers Manag doi: 10.1016/j.enconman.2023.117410 |
| SSID | ssj0005899 |
| Score | 2.4767408 |
| Snippet | With massive renewable energy connected to the grid and increasing the complexity of power systems (PSs), traditional centralized PS models can not satisfy the... |
| SourceID | proquest crossref elsevier |
| SourceType | Aggregation Database Index Database Publisher |
| StartPage | 136075 |
| SubjectTerms | algorithms biomass carbon dioxide Distributed multi-objective mantis search algorithm Distributed novel power systems energy Levy flight and Gaussian mutation Markov chain mutation prediction Transformer prediction strategy water power wind |
| Title | Dynamic distributed multi-objective mantis search algorithm based on Transformer hybrid strategy for novel power system dispatch |
| URI | https://dx.doi.org/10.1016/j.energy.2025.136075 https://www.proquest.com/docview/3206195008 |
| Volume | 324 |
| WOSCitedRecordID | wos001471604800001&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 issn: 0360-5442 databaseCode: AIEXJ dateStart: 19950101 customDbUrl: isFulltext: true dateEnd: 99991231 titleUrlDefault: https://www.sciencedirect.com omitProxy: false ssIdentifier: ssj0005899 providerName: Elsevier |
| link | http://cvtisr.summon.serialssolutions.com/2.0.0/link/0/eLvHCXMwtV1bi9NAFB5qV9AX0dXFXS-M4FuYJZeZJvO4aGWVZVGsUHyJk8zUttSkNG3p-uRP90xOpul2ES_gSyhDOwn5vp755sy5EPISRIPSUmnmw-rGOI85y_xEslhL2IyFtmCLrptNxJeXyXAo33c6X1wuzHoWF0Wy2cj5f4UaxgBsmzr7F3BvJ4UB-AygwxVgh-sfAf8ae8zboxfsZgWSsg4bZGU2RfNmY1aXk8prXB5q9rVcTJbjb55d07Q9Pxg4PWsW3vjKZnV5FdaxxQDPolybmTe3LdaaYtD2fnOw6-Nrvn7MLLQlTTcYRb_1O1ysLLofVi07Pxu0O-eq_D42zYpqDRKWObiwcWOTXS9FKNpoKnSdufSZNlYJU7Z8Jji_Zo4jzKm-YdrRyzA9NfWTn9qb2Bg9Hxuv7BXN_mintjODwgtgxxrfIgdhLGTSJQdnb_vDd20YUFL3GN0-ikuvrGMAb97rV_JlbyGv1cngPrnXbCvoGdLhAemY4pDccVnn1SE56rcZjfDFxqRXD8mPhi90hy90jy8U-UKRL3TLF1rzhZYF3eELRb5QxxcKw7TmC635QpEv1PHlEfn0pj94dc6athwsBz24ZApEnZE6DDSYe9gfxCoKwp6QgcyEbU-Qa6WF9mMzEr6JwnwUZEkudE9kWkmdJdER6RZlYR4TGia6F-U9PuLc8CDUySjPQdIqngciHqn8mDD3ttM5Vl9JXVjiNEV0UotOiugck9hBkjYKEpVhCiz6zS9fOARTMLD21EwVplxVaRSC5JUCtPLJP8_-hNxt_xRPSXe5WJln5Ha-BuwWzxtK_gQ-oamY |
| 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=Dynamic+distributed+multi-objective+mantis+search+algorithm+based+on+Transformer+hybrid+strategy+for+novel+power+system+dispatch&rft.jtitle=Energy+%28Oxford%29&rft.au=Lu%2C+Quan&rft.au=Zeng%2C+Haozheng&rft.au=Yin%2C+Linfei&rft.date=2025-06-01&rft.pub=Elsevier+Ltd&rft.issn=0360-5442&rft.volume=324&rft_id=info:doi/10.1016%2Fj.energy.2025.136075&rft.externalDocID=S0360544225017177 |
| thumbnail_l | http://covers-cdn.summon.serialssolutions.com/index.aspx?isbn=/lc.gif&issn=0360-5442&client=summon |
| thumbnail_m | http://covers-cdn.summon.serialssolutions.com/index.aspx?isbn=/mc.gif&issn=0360-5442&client=summon |
| thumbnail_s | http://covers-cdn.summon.serialssolutions.com/index.aspx?isbn=/sc.gif&issn=0360-5442&client=summon |