Optimal Dispatch Strategy for a Distribution Network Containing High-Density Photovoltaic Power Generation and Energy Storage under Multiple Scenarios
To better consume high-density photovoltaics, in this article, the application of energy storage devices in the distribution network not only realizes the peak shaving and valley filling of the electricity load but also relieves the pressure on the grid voltage generated by the distributed photovolt...
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| Format: | Article |
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MDPI AG
2023-10-01
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| Series: | Inventions |
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| Online Access: | https://www.mdpi.com/2411-5134/8/5/130 |
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| author | Langbo Hou Heng Chen Jinjun Wang Shichao Qiao Gang Xu Honggang Chen Tao Liu |
| author_facet | Langbo Hou Heng Chen Jinjun Wang Shichao Qiao Gang Xu Honggang Chen Tao Liu |
| author_sort | Langbo Hou |
| collection | DOAJ |
| description | To better consume high-density photovoltaics, in this article, the application of energy storage devices in the distribution network not only realizes the peak shaving and valley filling of the electricity load but also relieves the pressure on the grid voltage generated by the distributed photovoltaic access. At the same time, photovoltaic power generation and energy storage cooperate and have an impact on the tidal distribution of the distribution network. Since photovoltaic output has uncertainty, the maximum photovoltaic output in each scenario is determined by the clustering algorithm, while the storage scheduling strategy is reasonably selected so the distribution network operates efficiently and stably. The tidal optimization of the distribution network is carried out with the objectives of minimizing network losses and voltage deviations, two objectives that are assigned comprehensive weights, and the optimization model is constructed by using a particle swarm algorithm to derive the optimal dispatching strategy of the distribution network with the cooperation of photovoltaic and energy storage. Finally, a model with 30 buses is simulated and the system is optimally dispatched under multiple scenarios to demonstrate the necessity of conducting coordinated optimal dispatch of photovoltaics and energy storage. |
| first_indexed | 2024-03-10T21:10:40Z |
| format | Article |
| id | doaj.art-42497a6b8620448a9c0d1af1c7e691de |
| institution | Directory Open Access Journal |
| issn | 2411-5134 |
| language | English |
| last_indexed | 2024-03-10T21:10:40Z |
| publishDate | 2023-10-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Inventions |
| spelling | doaj.art-42497a6b8620448a9c0d1af1c7e691de2023-11-19T16:50:30ZengMDPI AGInventions2411-51342023-10-018513010.3390/inventions8050130Optimal Dispatch Strategy for a Distribution Network Containing High-Density Photovoltaic Power Generation and Energy Storage under Multiple ScenariosLangbo Hou0Heng Chen1Jinjun Wang2Shichao Qiao3Gang Xu4Honggang Chen5Tao Liu6School of Energy Power and Mechanical Engineering, North China Electric Power University, Beijing 102206, ChinaSchool of Energy Power and Mechanical Engineering, North China Electric Power University, Beijing 102206, ChinaSchool of Energy Power and Mechanical Engineering, North China Electric Power University, Beijing 102206, ChinaSchool of Energy Power and Mechanical Engineering, North China Electric Power University, Beijing 102206, ChinaSchool of Energy Power and Mechanical Engineering, North China Electric Power University, Beijing 102206, ChinaSchool of Energy Power and Mechanical Engineering, North China Electric Power University, Beijing 102206, ChinaBeijing Guo Dian Tong Network Technology Co., Ltd., Beijing 100086, ChinaTo better consume high-density photovoltaics, in this article, the application of energy storage devices in the distribution network not only realizes the peak shaving and valley filling of the electricity load but also relieves the pressure on the grid voltage generated by the distributed photovoltaic access. At the same time, photovoltaic power generation and energy storage cooperate and have an impact on the tidal distribution of the distribution network. Since photovoltaic output has uncertainty, the maximum photovoltaic output in each scenario is determined by the clustering algorithm, while the storage scheduling strategy is reasonably selected so the distribution network operates efficiently and stably. The tidal optimization of the distribution network is carried out with the objectives of minimizing network losses and voltage deviations, two objectives that are assigned comprehensive weights, and the optimization model is constructed by using a particle swarm algorithm to derive the optimal dispatching strategy of the distribution network with the cooperation of photovoltaic and energy storage. Finally, a model with 30 buses is simulated and the system is optimally dispatched under multiple scenarios to demonstrate the necessity of conducting coordinated optimal dispatch of photovoltaics and energy storage.https://www.mdpi.com/2411-5134/8/5/130distribution network optimizationhigh-density photovoltaicenergy storagemulti-targetmulti-scenarioimproved particle swarm algorithm |
| spellingShingle | Langbo Hou Heng Chen Jinjun Wang Shichao Qiao Gang Xu Honggang Chen Tao Liu Optimal Dispatch Strategy for a Distribution Network Containing High-Density Photovoltaic Power Generation and Energy Storage under Multiple Scenarios Inventions distribution network optimization high-density photovoltaic energy storage multi-target multi-scenario improved particle swarm algorithm |
| title | Optimal Dispatch Strategy for a Distribution Network Containing High-Density Photovoltaic Power Generation and Energy Storage under Multiple Scenarios |
| title_full | Optimal Dispatch Strategy for a Distribution Network Containing High-Density Photovoltaic Power Generation and Energy Storage under Multiple Scenarios |
| title_fullStr | Optimal Dispatch Strategy for a Distribution Network Containing High-Density Photovoltaic Power Generation and Energy Storage under Multiple Scenarios |
| title_full_unstemmed | Optimal Dispatch Strategy for a Distribution Network Containing High-Density Photovoltaic Power Generation and Energy Storage under Multiple Scenarios |
| title_short | Optimal Dispatch Strategy for a Distribution Network Containing High-Density Photovoltaic Power Generation and Energy Storage under Multiple Scenarios |
| title_sort | optimal dispatch strategy for a distribution network containing high density photovoltaic power generation and energy storage under multiple scenarios |
| topic | distribution network optimization high-density photovoltaic energy storage multi-target multi-scenario improved particle swarm algorithm |
| url | https://www.mdpi.com/2411-5134/8/5/130 |
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