Multi-Objective Optimal DG Placement Approach Using Analytical Hierarchy Process
Distributed generation (DG) has been increasingly integrated into distribution systems in the last decade. The selection of the optimal location and capacity of these DGs is an important issue. This selection is based on minimizing losses, reducing emissions, reducing voltage deviation, and much mor...
Uložené v:
| Vydané v: | Electric power components and systems Ročník 51; číslo 15; s. 1648 - 1663 |
|---|---|
| Hlavní autori: | , , |
| Médium: | Journal Article |
| Jazyk: | English |
| Vydavateľské údaje: |
Philadelphia
Taylor & Francis
14.09.2023
Taylor & Francis Ltd |
| Predmet: | |
| ISSN: | 1532-5008, 1532-5016 |
| On-line prístup: | Získať plný text |
| Tagy: |
Pridať tag
Žiadne tagy, Buďte prvý, kto otaguje tento záznam!
|
| Abstract | Distributed generation (DG) has been increasingly integrated into distribution systems in the last decade. The selection of the optimal location and capacity of these DGs is an important issue. This selection is based on minimizing losses, reducing emissions, reducing voltage deviation, and much more. This paper proposes a new optimization approach with a multi-objective function for maximizing DG capacities and minimizing both system losses and voltage deviation, which are subject to system constraints. The weight of each attribute of the multi-objective function is estimated using the analytical hierarchical process (AHP). The optimal DG size is calculated for all possible buses, and hence, the optimal bus can be located. Moreover, an algorithm is introduced to decrease the number of iterations when integrating more than one DG. The proposed method is an iterative linear programming method based on the familiar Newton-Raphson sensitivity matrix. The proposed approach has been tested on 69 and IEEE 33 bus systems. The simulation results are compared with previous literature results. |
|---|---|
| AbstractList | Distributed generation (DG) has been increasingly integrated into distribution systems in the last decade. The selection of the optimal location and capacity of these DGs is an important issue. This selection is based on minimizing losses, reducing emissions, reducing voltage deviation, and much more. This paper proposes a new optimization approach with a multi-objective function for maximizing DG capacities and minimizing both system losses and voltage deviation, which are subject to system constraints. The weight of each attribute of the multi-objective function is estimated using the analytical hierarchical process (AHP). The optimal DG size is calculated for all possible buses, and hence, the optimal bus can be located. Moreover, an algorithm is introduced to decrease the number of iterations when integrating more than one DG. The proposed method is an iterative linear programming method based on the familiar Newton-Raphson sensitivity matrix. The proposed approach has been tested on 69 and IEEE 33 bus systems. The simulation results are compared with previous literature results. |
| Author | Eladawy, Mohamed Kaddah, Sahar S. Mewafy, Abdelrahman A. |
| Author_xml | – sequence: 1 givenname: Abdelrahman A. surname: Mewafy fullname: Mewafy, Abdelrahman A. organization: Electrical Engineering Department, Mansoura University – sequence: 2 givenname: Sahar S. surname: Kaddah fullname: Kaddah, Sahar S. organization: Electrical Engineering Department, Mansoura University – sequence: 3 givenname: Mohamed surname: Eladawy fullname: Eladawy, Mohamed organization: Electrical Engineering Department, Mansoura University |
| BookMark | eNqFkEFLAzEQhYNUsK3-BGHB89ZJ0iy7eLFUbYVKe7DnMJvN2pTtZk1SZf-9W1o9eNDLzGN47zF8A9Krba0JuaYwopDCLRWcCYB0xIDxEetmIugZ6R_usQCa9H40pBdk4P0WgLIsY32yetlXwcTLfKtVMB86WjbB7LCKHmbRqkKld7oO0aRpnEW1idbe1G_RpMaqDUZ1trnRDp3atNHKWaW9vyTnJVZeX532kKyfHl-n83ixnD1PJ4tYcZ6GOGGpKmmWQZ6lOhVqzPW4ZEwhUkSV5TkmKgPOuyOIXCQUy7IoKBRw0FrzIbk59nafve-1D3Jr9657zEuW8jEXwLNx57o7upSz3jtdSmUCBmPr4NBUkoI8IJTfCOUBoTwh7NLiV7pxHRzX_pu7P-ZMXVq3w0_rqkIGbCvrSoe1Ml7yvyu-ANbwiX8 |
| CitedBy_id | crossref_primary_10_1177_0309524X241241795 crossref_primary_10_1002_jnm_3298 crossref_primary_10_1007_s00202_024_02684_2 crossref_primary_10_1016_j_measurement_2025_117012 crossref_primary_10_3390_math13152399 |
| Cites_doi | 10.1109/IPECON.2010.5697086 10.1109/TPWRS.2009.2030424 10.1016/j.apenergy.2020.115259 10.1016/j.asoc.2019.02.003 10.1016/j.ijepes.2015.09.002 10.1109/JSYST.2022.3180779 10.1109/TPWRS.2009.2031223 10.1109/ICCPCT.2014.7054964 10.1016/j.asoc.2019.105938 10.1016/j.jclepro.2019.118965 10.3390/en12030553 10.1016/j.solener.2019.11.087 10.1109/TDC-LA.2014.6955180 10.1016/j.ijepes.2020.106627 10.1002/er.4847 10.1016/j.rser.2019.01.050 10.1016/j.apenergy.2018.12.050 10.1016/j.renene.2018.07.008 10.1007/s40998-020-00322-8 10.1002/er.5128 10.1016/j.renene.2019.06.147 10.3390/app10155159 10.1016/j.enconman.2020.113454 10.1016/j.energy.2020.118218 10.1049/iet-gtd.2013.0803 10.1109/PESMG.2013.6672416 10.1016/j.asoc.2019.02.013 10.1016/j.asoc.2020.106191 10.1109/TPWRS.2009.2037635 10.1016/j.ijepes.2019.105466 10.1109/TPWRS.2011.2122346 10.1016/j.segan.2020.100358 10.1109/TIA.2021.3065329 10.18311/ijprvd/2021/29662 |
| ContentType | Journal Article |
| Copyright | 2023 Taylor & Francis Group, LLC 2023 2023 Taylor & Francis Group, LLC |
| Copyright_xml | – notice: 2023 Taylor & Francis Group, LLC 2023 – notice: 2023 Taylor & Francis Group, LLC |
| DBID | AAYXX CITATION 7SP 7TB 8FD FR3 KR7 L7M |
| DOI | 10.1080/15325008.2023.2202651 |
| DatabaseName | CrossRef Electronics & Communications Abstracts Mechanical & Transportation Engineering Abstracts Technology Research Database Engineering Research Database Civil Engineering Abstracts Advanced Technologies Database with Aerospace |
| DatabaseTitle | CrossRef Civil Engineering Abstracts Engineering Research Database Technology Research Database Mechanical & Transportation Engineering Abstracts Advanced Technologies Database with Aerospace Electronics & Communications Abstracts |
| DatabaseTitleList | Civil Engineering Abstracts |
| DeliveryMethod | fulltext_linktorsrc |
| Discipline | Engineering |
| EISSN | 1532-5016 |
| EndPage | 1663 |
| ExternalDocumentID | 10_1080_15325008_2023_2202651 2202651 |
| Genre | Research Article |
| GroupedDBID | .7F .QJ 0BK 0R~ 29G 2DF 30N 4.4 5GY 5VS 8VB AAENE AAGDL AAHIA AAJMT AALDU AAMIU AAPUL AAQRR ABCCY ABFIM ABHAV ABJNI ABLIJ ABPAQ ABPEM ABTAI ABXUL ABXYU ACGEJ ACGFS ACGOD ACIWK ACTIO ADCVX ADGTB ADXPE AEISY AENEX AEOZL AEPSL AEYOC AFKVX AFRVT AGDLA AGMYJ AHDZW AIJEM AIYEW AJWEG AKBVH AKOOK ALMA_UNASSIGNED_HOLDINGS ALQZU AQRUH AQTUD AVBZW AWYRJ BLEHA CCCUG CE4 CS3 DGEBU DKSSO DU5 EBS E~A E~B FYQZC GTTXZ H13 HF~ HZ~ H~P IPNFZ J.P KYCEM LJTGL M4Z MS~ NA5 NX~ O9- PQQKQ QWB RIG RNANH ROSJB RTWRZ S-T SNACF TASJS TBQAZ TDBHL TEN TFL TFT TFW TNC TTHFI TUROJ TWF UT5 UU3 ZGOLN ZL0 ~S~ AAYXX CITATION 7SP 7TB 8FD FR3 KR7 L7M |
| ID | FETCH-LOGICAL-c338t-628cf1990b98e85c43e4f22caa1aac9bba6c90334f205b561affdd10d0561aee3 |
| IEDL.DBID | TFW |
| ISICitedReferencesCount | 4 |
| ISICitedReferencesURI | http://www.webofscience.com/api/gateway?GWVersion=2&SrcApp=Summon&SrcAuth=ProQuest&DestLinkType=CitingArticles&DestApp=WOS_CPL&KeyUT=000990452800001&url=https%3A%2F%2Fcvtisr.summon.serialssolutions.com%2F%23%21%2Fsearch%3Fho%3Df%26include.ft.matches%3Dt%26l%3Dnull%26q%3D |
| ISSN | 1532-5008 |
| IngestDate | Wed Aug 13 04:28:28 EDT 2025 Sat Nov 29 05:38:05 EST 2025 Tue Nov 18 22:22:19 EST 2025 Mon Oct 20 23:45:25 EDT 2025 |
| IsPeerReviewed | true |
| IsScholarly | true |
| Issue | 15 |
| Language | English |
| LinkModel | DirectLink |
| MergedId | FETCHMERGED-LOGICAL-c338t-628cf1990b98e85c43e4f22caa1aac9bba6c90334f205b561affdd10d0561aee3 |
| Notes | ObjectType-Article-1 SourceType-Scholarly Journals-1 ObjectType-Feature-2 content type line 14 |
| PQID | 2834350394 |
| PQPubID | 52905 |
| PageCount | 16 |
| ParticipantIDs | crossref_citationtrail_10_1080_15325008_2023_2202651 proquest_journals_2834350394 informaworld_taylorfrancis_310_1080_15325008_2023_2202651 crossref_primary_10_1080_15325008_2023_2202651 |
| PublicationCentury | 2000 |
| PublicationDate | 2023-09-14 |
| PublicationDateYYYYMMDD | 2023-09-14 |
| PublicationDate_xml | – month: 09 year: 2023 text: 2023-09-14 day: 14 |
| PublicationDecade | 2020 |
| PublicationPlace | Philadelphia |
| PublicationPlace_xml | – name: Philadelphia |
| PublicationTitle | Electric power components and systems |
| PublicationYear | 2023 |
| Publisher | Taylor & Francis Taylor & Francis Ltd |
| Publisher_xml | – name: Taylor & Francis – name: Taylor & Francis Ltd |
| References | CIT0030 CIT0010 CIT0032 CIT0031 CIT0012 CIT0034 CIT0011 CIT0033 CIT0014 CIT0036 CIT0013 CIT0035 CIT0016 CIT0015 CIT0018 CIT0017 CIT0019 CIT0021 CIT0020 CIT0001 CIT0023 CIT0022 CIT0003 CIT0025 CIT0002 CIT0024 CIT0005 CIT0027 CIT0004 CIT0026 CIT0007 CIT0029 CIT0006 CIT0028 CIT0009 CIT0008 |
| References_xml | – ident: CIT0018 doi: 10.1109/IPECON.2010.5697086 – ident: CIT0027 doi: 10.1109/TPWRS.2009.2030424 – ident: CIT0033 doi: 10.1016/j.apenergy.2020.115259 – ident: CIT0022 doi: 10.1016/j.asoc.2019.02.003 – ident: CIT0020 doi: 10.1016/j.ijepes.2015.09.002 – ident: CIT0026 doi: 10.1109/JSYST.2022.3180779 – ident: CIT0030 doi: 10.1109/TPWRS.2009.2031223 – ident: CIT0016 doi: 10.1109/ICCPCT.2014.7054964 – ident: CIT0010 doi: 10.1016/j.asoc.2019.105938 – ident: CIT0032 doi: 10.1016/j.jclepro.2019.118965 – ident: CIT0023 doi: 10.3390/en12030553 – ident: CIT0002 doi: 10.1016/j.solener.2019.11.087 – ident: CIT0017 doi: 10.1109/TDC-LA.2014.6955180 – ident: CIT0035 – ident: CIT0025 doi: 10.1016/j.ijepes.2020.106627 – ident: CIT0007 doi: 10.1002/er.4847 – ident: CIT0009 doi: 10.1016/j.rser.2019.01.050 – ident: CIT0001 doi: 10.1016/j.apenergy.2018.12.050 – ident: CIT0006 doi: 10.1016/j.renene.2018.07.008 – ident: CIT0012 doi: 10.1007/s40998-020-00322-8 – ident: CIT0011 doi: 10.1002/er.5128 – ident: CIT0005 doi: 10.1016/j.renene.2019.06.147 – ident: CIT0031 doi: 10.3390/app10155159 – ident: CIT0008 doi: 10.1016/j.enconman.2020.113454 – ident: CIT0014 doi: 10.1016/j.energy.2020.118218 – ident: CIT0019 doi: 10.1049/iet-gtd.2013.0803 – ident: CIT0015 doi: 10.1109/PESMG.2013.6672416 – ident: CIT0024 doi: 10.1016/j.asoc.2019.02.013 – ident: CIT0021 doi: 10.1016/j.asoc.2020.106191 – ident: CIT0029 doi: 10.1109/TPWRS.2009.2037635 – ident: CIT0004 doi: 10.1016/j.ijepes.2019.105466 – ident: CIT0028 doi: 10.1109/TPWRS.2011.2122346 – ident: CIT0034 – ident: CIT0036 doi: 10.1016/j.segan.2020.100358 – ident: CIT0003 doi: 10.1109/TIA.2021.3065329 – ident: CIT0013 doi: 10.18311/ijprvd/2021/29662 |
| SSID | ssj0012992 |
| Score | 2.338255 |
| Snippet | Distributed generation (DG) has been increasingly integrated into distribution systems in the last decade. The selection of the optimal location and capacity... |
| SourceID | proquest crossref informaworld |
| SourceType | Aggregation Database Enrichment Source Index Database Publisher |
| StartPage | 1648 |
| SubjectTerms | Algorithms Analytic hierarchy process capacity factor Deviation Distributed generation Electric potential Hierarchies Linear programming Mathematical analysis Multiple objective analysis Optimization power factor tap changer Voltage |
| Title | Multi-Objective Optimal DG Placement Approach Using Analytical Hierarchy Process |
| URI | https://www.tandfonline.com/doi/abs/10.1080/15325008.2023.2202651 https://www.proquest.com/docview/2834350394 |
| Volume | 51 |
| WOSCitedRecordID | wos000990452800001&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: PRVAWR databaseName: Taylor & Francis Journals Complete customDbUrl: eissn: 1532-5016 dateEnd: 99991231 omitProxy: false ssIdentifier: ssj0012992 issn: 1532-5008 databaseCode: TFW dateStart: 20010101 isFulltext: true titleUrlDefault: https://www.tandfonline.com providerName: Taylor & Francis |
| link | http://cvtisr.summon.serialssolutions.com/2.0.0/link/0/eLvHCXMwrV3NS8MwFA8yPOjBb3E6JQevnW2adu1xqHMH2XaYuFvIJ050yloF_3tf0nRsiOygl5YUXigveZ957xeELhXpKG44RCepNgE1NA2E5jSQJlGamEwo41b6vjMYZJNJPvLVhIUvq7QxtKmAIpyutsLNRVFXxF2BkILhDm1hFonbBJ6pa6IG029Fc9x7XJwjgLIlFWIqhFxAUvfw_DbLinVawS79oaudAert_sOv76Ed733ibrVd9tGGnh2g7SVMwkM0ci25wVA8V6oQD0GpvALRzR0e2Zy7TSfirocix67kADtoE5cVx_2pbWmWT1_Y9yAcoYfe7fi6H_hrFwIJ8WoZpCSTJgIrJfJMZ4mksaaGEMl5xLnMheCpzMM4ho9hIsD_4sYoFYXKBiNc6_gYNWZvM32CMOGdWEBEI7JIUpMqAa9UpomdOINBE9Ga3Ux6THJ7NcYLizx0ac0wZhnGPMOaqL0ge69AOdYR5MtryUqXDTHV1SUsXkPbqheeefkuGDhl4GeGcU5P_zD1GdqyQ1t-EtEWapTzD32ONuVnOS3mF24nfwMgrO46 |
| linkProvider | Taylor & Francis |
| linkToHtml | http://cvtisr.summon.serialssolutions.com/2.0.0/link/0/eLvHCXMwrV3NS8MwFA-ignrwW5xOzcFrZ5umWXsc6pw4tx0m7haSNMGJTtmq4H_vS9qODZEd9NLSlhfCe8n76nu_IHSeknoqjIDohGnjUUOZJ7WgnjJRqomJZWqcpNv1TiceDJLZXhhbVmljaJMDRThdbTe3TUaXJXEXsEvBcvu2MouENQJXZruoVyKwtRY_v998nP5JAHVLcsxUCLqApuzi-W2YOfs0h176Q1s7E9Tc-o_Jb6PNwgHFjXzF7KAlPdpFGzOwhHuo57pyva58zrUh7oJeeQWiqxvcs2l3m1HEjQKNHLuqA-zQTVxiHLeGtqtZPX3hog1hHz00r_uXLa84ecFTELJmHiOxMgEYKpnEOo4UDTU1hCghAiFUIqVgKvHDEF76kQQXTBiTpoGf2nhEaB0eoOXR20gfIkxEPZQQ1Mg4UNSwVMKNKRbZgWN4qCBa8purApbcno7xwoMCvbRkGLcM4wXDKqg2JXvPcTkWESSzwuSZS4iY_PQSHi6grZaS58UWn3Dwy8DV9MOEHv1h6DO01urft3n7tnN3jNbtJ1uNEtAqWs7GH_oErarPbDgZn7pl_Q1ImPJk |
| linkToPdf | http://cvtisr.summon.serialssolutions.com/2.0.0/link/0/eLvHCXMwrV3NS8MwFA8yRfTgt_htDl472zTL2qOoc6LMHSbuFvKJE53DVcH_3pc0lQ2RHfTS0pYXwnvJ--p7vyB0oklTCysgOmHGRtRSFkkjaKRsQxtiM6mtl_Rts9PJ-v28G6oJx6Gs0sXQtgSK8Lrabe6RtlVF3ClsUjDcsSvMImmdwJW5Jup5cJ2ZW-S91sP3jwTQtqSETIWYC2iqJp7fhpkyT1PgpT-UtbdArdV_mPsaWgnuJz4r18s6mjPDDbQ8AUq4ibq-Jze6k0-lLsR3oFVegOjiCndd0t3lE_FZwCLHvuYAe2wTnxbH7YHraVaPnzg0IWyh-9Zl77wdhXMXIgUBaxExkimbgJmSeWayhqKpoZYQJUQihMqlFEzlcZrCy7ghwQET1mqdxNpFI8KYdBvVhq9Ds4MwEc1UglxklihqmZZwY4o13MAZPOwiWrGbqwBK7s7GeOZJwC6tGMYdw3hg2C6qf5ONSlSOWQT5pCx54dMhtjy7hKczaA8qwfOwwcccvDJwNOM0p3t_GPoYLXYvWvz2unOzj5bcF1eKktADVCve3s0hWlAfxWD8duQX9Rdt4fEW |
| 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=Multi-Objective+Optimal+DG+Placement+Approach+Using+Analytical+Hierarchy+Process&rft.jtitle=Electric+power+components+and+systems&rft.au=Mewafy%2C+Abdelrahman+A.&rft.au=Kaddah%2C+Sahar+S.&rft.au=Eladawy%2C+Mohamed&rft.date=2023-09-14&rft.pub=Taylor+%26+Francis&rft.issn=1532-5008&rft.eissn=1532-5016&rft.volume=51&rft.issue=15&rft.spage=1648&rft.epage=1663&rft_id=info:doi/10.1080%2F15325008.2023.2202651&rft.externalDocID=2202651 |
| thumbnail_l | http://covers-cdn.summon.serialssolutions.com/index.aspx?isbn=/lc.gif&issn=1532-5008&client=summon |
| thumbnail_m | http://covers-cdn.summon.serialssolutions.com/index.aspx?isbn=/mc.gif&issn=1532-5008&client=summon |
| thumbnail_s | http://covers-cdn.summon.serialssolutions.com/index.aspx?isbn=/sc.gif&issn=1532-5008&client=summon |