New PSO-GWO-based model for enhancing power quality in electrical networks interconnected with photovoltaic sources
This research introduces an innovative model to enhance power quality within electrical networks interconnected with photovoltaic (PV) sources. The central concern addressed in this study revolves around the impact of PV source power quality on local electric networks. This research endeavors to elu...
Saved in:
| Main Authors: | , , , |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
Frontiers Media S.A.
2024-12-01
|
| Series: | Frontiers in Energy Research |
| Subjects: | |
| Online Access: | https://www.frontiersin.org/articles/10.3389/fenrg.2024.1476638/full |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
| _version_ | 1846114659530178560 |
|---|---|
| author | Mehdi Sanaei Hamidreza Akbari Zohreh Beheshtipour Somayeh Mousavi |
| author_facet | Mehdi Sanaei Hamidreza Akbari Zohreh Beheshtipour Somayeh Mousavi |
| author_sort | Mehdi Sanaei |
| collection | DOAJ |
| description | This research introduces an innovative model to enhance power quality within electrical networks interconnected with photovoltaic (PV) sources. The central concern addressed in this study revolves around the impact of PV source power quality on local electric networks. This research endeavors to elucidate how achieving a more refined power pattern in electric networks is attainable by considering the power quality of PV sources. A hybrid Particle Swarm Optimization-Gray Wolf Optimization (PSO-GWO) algorithm is proposed to obtain optimal solutions. Empirical findings underscore the significant impact of Unified Power Quality Conditioners (UPQC) on social welfare, reinforcing the potential benefits of improving power quality. The results reveal that localized price reductions primarily drive the enhancement of social welfare, and this socioeconomic advantage outweighs improvements in sustainability metrics. |
| format | Article |
| id | doaj-art-4a8f2a4d420649f6b7c49370a595fe5f |
| institution | Kabale University |
| issn | 2296-598X |
| language | English |
| publishDate | 2024-12-01 |
| publisher | Frontiers Media S.A. |
| record_format | Article |
| series | Frontiers in Energy Research |
| spelling | doaj-art-4a8f2a4d420649f6b7c49370a595fe5f2024-12-20T09:03:07ZengFrontiers Media S.A.Frontiers in Energy Research2296-598X2024-12-011210.3389/fenrg.2024.14766381476638New PSO-GWO-based model for enhancing power quality in electrical networks interconnected with photovoltaic sourcesMehdi Sanaei0Hamidreza Akbari1Zohreh Beheshtipour2Somayeh Mousavi3Electrical Engineering Department, Yazd Branch, Islamic Azad University, Yazd, IranElectrical Engineering Department, Yazd Branch, Islamic Azad University, Yazd, IranElectrical Engineering Department, Yazd Branch, Islamic Azad University, Yazd, IranIndustrial Engineering Department, Meybod University, Meybod, IranThis research introduces an innovative model to enhance power quality within electrical networks interconnected with photovoltaic (PV) sources. The central concern addressed in this study revolves around the impact of PV source power quality on local electric networks. This research endeavors to elucidate how achieving a more refined power pattern in electric networks is attainable by considering the power quality of PV sources. A hybrid Particle Swarm Optimization-Gray Wolf Optimization (PSO-GWO) algorithm is proposed to obtain optimal solutions. Empirical findings underscore the significant impact of Unified Power Quality Conditioners (UPQC) on social welfare, reinforcing the potential benefits of improving power quality. The results reveal that localized price reductions primarily drive the enhancement of social welfare, and this socioeconomic advantage outweighs improvements in sustainability metrics.https://www.frontiersin.org/articles/10.3389/fenrg.2024.1476638/fullpower qualityphotovoltaic integrationPSO-GWO algorithmsocial welfarepower losses |
| spellingShingle | Mehdi Sanaei Hamidreza Akbari Zohreh Beheshtipour Somayeh Mousavi New PSO-GWO-based model for enhancing power quality in electrical networks interconnected with photovoltaic sources Frontiers in Energy Research power quality photovoltaic integration PSO-GWO algorithm social welfare power losses |
| title | New PSO-GWO-based model for enhancing power quality in electrical networks interconnected with photovoltaic sources |
| title_full | New PSO-GWO-based model for enhancing power quality in electrical networks interconnected with photovoltaic sources |
| title_fullStr | New PSO-GWO-based model for enhancing power quality in electrical networks interconnected with photovoltaic sources |
| title_full_unstemmed | New PSO-GWO-based model for enhancing power quality in electrical networks interconnected with photovoltaic sources |
| title_short | New PSO-GWO-based model for enhancing power quality in electrical networks interconnected with photovoltaic sources |
| title_sort | new pso gwo based model for enhancing power quality in electrical networks interconnected with photovoltaic sources |
| topic | power quality photovoltaic integration PSO-GWO algorithm social welfare power losses |
| url | https://www.frontiersin.org/articles/10.3389/fenrg.2024.1476638/full |
| work_keys_str_mv | AT mehdisanaei newpsogwobasedmodelforenhancingpowerqualityinelectricalnetworksinterconnectedwithphotovoltaicsources AT hamidrezaakbari newpsogwobasedmodelforenhancingpowerqualityinelectricalnetworksinterconnectedwithphotovoltaicsources AT zohrehbeheshtipour newpsogwobasedmodelforenhancingpowerqualityinelectricalnetworksinterconnectedwithphotovoltaicsources AT somayehmousavi newpsogwobasedmodelforenhancingpowerqualityinelectricalnetworksinterconnectedwithphotovoltaicsources |