Power Grid Frequency Regulation Strategy for Photovoltaic Plant Based on Multi-Objective Harris Hawks Optimization
To settle the issue of balance between two objectives, i.e., photovoltaic (PV) power station output power maximization and frequency regulation (FR) signals response, a novel PV reconfiguration strategy is proposed in this work, which maximizes the output power through PV reconfiguration, and meanwh...
| Main Authors: | , , , , |
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| Format: | Article |
| Language: | English |
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Frontiers Media S.A.
2021-12-01
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| Series: | Frontiers in Energy Research |
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| Online Access: | https://www.frontiersin.org/articles/10.3389/fenrg.2021.806263/full |
| _version_ | 1818479603523518464 |
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| author | Long Wang Xucheng Chang Xiang Li Wenli Huang Yingying Jiao |
| author_facet | Long Wang Xucheng Chang Xiang Li Wenli Huang Yingying Jiao |
| author_sort | Long Wang |
| collection | DOAJ |
| description | To settle the issue of balance between two objectives, i.e., photovoltaic (PV) power station output power maximization and frequency regulation (FR) signals response, a novel PV reconfiguration strategy is proposed in this work, which maximizes the output power through PV reconfiguration, and meanwhile utilizes the energy storage system (ESS) to decrease the PV plant generated power’ deviation from FR signals. Above all, a model of PV-storage power station reconfiguration is designed to minimize the power bias of both rated power and FR signals. Then, the multi-objective Harris hawks optimization (MHHO) is used to obtain the Pareto front which can optimize the above two objectives due to its high optimization efficiency and speed. Subsequently, the optimal compromise solution is selected by the decision-making method of VIseKriterijumska Optimizacija I Kompromisno Resenje (VIKOR). Aiming to substantiate the efficacy of the proposed technique, the case studies are carried out under partial shading condition (PSC) with constant and time-varying FR signals. The simulation results show that, compared with the situation without optimization, the power deviations of the two objectives are reduced by 25.11 and 75.76% under constant FR signals and 23.27 and 55.81% under time-varying FR signals by proposed method, respectively. |
| first_indexed | 2024-12-10T11:12:57Z |
| format | Article |
| id | doaj.art-874a876ffdb6443ea00913538726c9fc |
| institution | Directory Open Access Journal |
| issn | 2296-598X |
| language | English |
| last_indexed | 2024-12-10T11:12:57Z |
| publishDate | 2021-12-01 |
| publisher | Frontiers Media S.A. |
| record_format | Article |
| series | Frontiers in Energy Research |
| spelling | doaj.art-874a876ffdb6443ea00913538726c9fc2022-12-22T01:51:21ZengFrontiers Media S.A.Frontiers in Energy Research2296-598X2021-12-01910.3389/fenrg.2021.806263806263Power Grid Frequency Regulation Strategy for Photovoltaic Plant Based on Multi-Objective Harris Hawks OptimizationLong Wang0Xucheng Chang1Xiang Li2Wenli Huang3Yingying Jiao4Zhengzhou University of Aeronautics, Zhengzhou, ChinaZhengzhou University of Aeronautics, Zhengzhou, ChinaZhengzhou University of Aeronautics, Zhengzhou, ChinaZhengzhou University of Aeronautics, Zhengzhou, ChinaSchool of Information and Electrical Engineering, Shandong Jianzhu University, Jinan, ChinaTo settle the issue of balance between two objectives, i.e., photovoltaic (PV) power station output power maximization and frequency regulation (FR) signals response, a novel PV reconfiguration strategy is proposed in this work, which maximizes the output power through PV reconfiguration, and meanwhile utilizes the energy storage system (ESS) to decrease the PV plant generated power’ deviation from FR signals. Above all, a model of PV-storage power station reconfiguration is designed to minimize the power bias of both rated power and FR signals. Then, the multi-objective Harris hawks optimization (MHHO) is used to obtain the Pareto front which can optimize the above two objectives due to its high optimization efficiency and speed. Subsequently, the optimal compromise solution is selected by the decision-making method of VIseKriterijumska Optimizacija I Kompromisno Resenje (VIKOR). Aiming to substantiate the efficacy of the proposed technique, the case studies are carried out under partial shading condition (PSC) with constant and time-varying FR signals. The simulation results show that, compared with the situation without optimization, the power deviations of the two objectives are reduced by 25.11 and 75.76% under constant FR signals and 23.27 and 55.81% under time-varying FR signals by proposed method, respectively.https://www.frontiersin.org/articles/10.3389/fenrg.2021.806263/fullPV array reconfigurationenergy storage systemfrequency regulation responsemultiobjective harris hawks optimizationphotovoltaic |
| spellingShingle | Long Wang Xucheng Chang Xiang Li Wenli Huang Yingying Jiao Power Grid Frequency Regulation Strategy for Photovoltaic Plant Based on Multi-Objective Harris Hawks Optimization Frontiers in Energy Research PV array reconfiguration energy storage system frequency regulation response multiobjective harris hawks optimization photovoltaic |
| title | Power Grid Frequency Regulation Strategy for Photovoltaic Plant Based on Multi-Objective Harris Hawks Optimization |
| title_full | Power Grid Frequency Regulation Strategy for Photovoltaic Plant Based on Multi-Objective Harris Hawks Optimization |
| title_fullStr | Power Grid Frequency Regulation Strategy for Photovoltaic Plant Based on Multi-Objective Harris Hawks Optimization |
| title_full_unstemmed | Power Grid Frequency Regulation Strategy for Photovoltaic Plant Based on Multi-Objective Harris Hawks Optimization |
| title_short | Power Grid Frequency Regulation Strategy for Photovoltaic Plant Based on Multi-Objective Harris Hawks Optimization |
| title_sort | power grid frequency regulation strategy for photovoltaic plant based on multi objective harris hawks optimization |
| topic | PV array reconfiguration energy storage system frequency regulation response multiobjective harris hawks optimization photovoltaic |
| url | https://www.frontiersin.org/articles/10.3389/fenrg.2021.806263/full |
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