Optimal Configuration of Photovoltaic-wind-storage Microgrid for Agricultural Irrigation in Mountainous Areas
Water and electricity supply for irrigation is difficult in remote mountainous areas. This paper explores agricultural irrigation systems’ integration mechanism, pumped storage power plants, and renewable power sources in mountainous areas to solve this problem. It establishes a microgrid power supp...
| Main Authors: | , , , , |
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| Format: | Article |
| Language: | English |
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EDP Sciences
2021-01-01
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| Series: | E3S Web of Conferences |
| Online Access: | https://www.e3s-conferences.org/articles/e3sconf/pdf/2021/32/e3sconf_posei2021_02024.pdf |
| _version_ | 1818727828952186880 |
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| author | Zhang Yangyang Li Bin Deng Youxiong Lian Chunjie Wang Jingde |
| author_facet | Zhang Yangyang Li Bin Deng Youxiong Lian Chunjie Wang Jingde |
| author_sort | Zhang Yangyang |
| collection | DOAJ |
| description | Water and electricity supply for irrigation is difficult in remote mountainous areas. This paper explores agricultural irrigation systems’ integration mechanism, pumped storage power plants, and renewable power sources in mountainous areas to solve this problem. It establishes a microgrid power supply system with multiple complementary energy sources according to local conditions. By analyzing the load of agricultural irrigation in mountainous areas, the irrigation water consumption and electricity consumption are obtained. The capacity of pumped storage power stations, wind power, and photovoltaic power generation in the microgrid can be configured accordingly. They use the renewable power supply active power fluctuation rate index as a constraint and use the spectrum analysis method to calibrate the capacity configuration results. Finally, the scenic storage microgrid model is constructed and solved to minimize the microgrid’s grid connection cost. The algorithm shows that the proposed capacity allocation method can meet the irrigation load demand and realize the microgrid’s coordinated operation. |
| first_indexed | 2024-12-17T22:20:18Z |
| format | Article |
| id | doaj.art-535610d22f7149babef882cf39e97cf3 |
| institution | Directory Open Access Journal |
| issn | 2267-1242 |
| language | English |
| last_indexed | 2024-12-17T22:20:18Z |
| publishDate | 2021-01-01 |
| publisher | EDP Sciences |
| record_format | Article |
| series | E3S Web of Conferences |
| spelling | doaj.art-535610d22f7149babef882cf39e97cf32022-12-21T21:30:30ZengEDP SciencesE3S Web of Conferences2267-12422021-01-012560202410.1051/e3sconf/202125602024e3sconf_posei2021_02024Optimal Configuration of Photovoltaic-wind-storage Microgrid for Agricultural Irrigation in Mountainous AreasZhang Yangyang0Li Bin1Deng Youxiong2Lian Chunjie3Wang Jingde4Guangxi Key Laboratory of Power System Optimization and Energy Technology, Guangxi UniversityGuangxi Key Laboratory of Power System Optimization and Energy Technology, Guangxi UniversityGuangxi Key Laboratory of Power System Optimization and Energy Technology, Guangxi UniversityGuangxi Key Laboratory of Power System Optimization and Energy Technology, Guangxi UniversityGuangxi Key Laboratory of Power System Optimization and Energy Technology, Guangxi UniversityWater and electricity supply for irrigation is difficult in remote mountainous areas. This paper explores agricultural irrigation systems’ integration mechanism, pumped storage power plants, and renewable power sources in mountainous areas to solve this problem. It establishes a microgrid power supply system with multiple complementary energy sources according to local conditions. By analyzing the load of agricultural irrigation in mountainous areas, the irrigation water consumption and electricity consumption are obtained. The capacity of pumped storage power stations, wind power, and photovoltaic power generation in the microgrid can be configured accordingly. They use the renewable power supply active power fluctuation rate index as a constraint and use the spectrum analysis method to calibrate the capacity configuration results. Finally, the scenic storage microgrid model is constructed and solved to minimize the microgrid’s grid connection cost. The algorithm shows that the proposed capacity allocation method can meet the irrigation load demand and realize the microgrid’s coordinated operation.https://www.e3s-conferences.org/articles/e3sconf/pdf/2021/32/e3sconf_posei2021_02024.pdf |
| spellingShingle | Zhang Yangyang Li Bin Deng Youxiong Lian Chunjie Wang Jingde Optimal Configuration of Photovoltaic-wind-storage Microgrid for Agricultural Irrigation in Mountainous Areas E3S Web of Conferences |
| title | Optimal Configuration of Photovoltaic-wind-storage Microgrid for Agricultural Irrigation in Mountainous Areas |
| title_full | Optimal Configuration of Photovoltaic-wind-storage Microgrid for Agricultural Irrigation in Mountainous Areas |
| title_fullStr | Optimal Configuration of Photovoltaic-wind-storage Microgrid for Agricultural Irrigation in Mountainous Areas |
| title_full_unstemmed | Optimal Configuration of Photovoltaic-wind-storage Microgrid for Agricultural Irrigation in Mountainous Areas |
| title_short | Optimal Configuration of Photovoltaic-wind-storage Microgrid for Agricultural Irrigation in Mountainous Areas |
| title_sort | optimal configuration of photovoltaic wind storage microgrid for agricultural irrigation in mountainous areas |
| url | https://www.e3s-conferences.org/articles/e3sconf/pdf/2021/32/e3sconf_posei2021_02024.pdf |
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