Optimal Allocation of Hydrogen Storage Capacity Based on Improved Cat Swarm Optimization
Based on the hydrogen energy storage system, a hybrid microgrid system with wind power generation and hydrogen energy storage system as the main components has been constructed. This article optimizes the capacity configuration of electrolytic cells, fuel cells, and hydrogen storage tanks in hydroge...
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| Main Authors: | , , , , , |
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| Format: | Article |
| Language: | zho |
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State Grid Energy Research Institute
2023-08-01
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| Series: | Zhongguo dianli |
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| Online Access: | https://www.electricpower.com.cn/CN/10.11930/j.issn.1004-9649.202209013 |
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| author | Zhenda HU Wenjin JIANG Linyao ZHANG Xiaodong YANG Yichao ZOU Kai WANG |
| author_facet | Zhenda HU Wenjin JIANG Linyao ZHANG Xiaodong YANG Yichao ZOU Kai WANG |
| author_sort | Zhenda HU |
| collection | DOAJ |
| description | Based on the hydrogen energy storage system, a hybrid microgrid system with wind power generation and hydrogen energy storage system as the main components has been constructed. This article optimizes the capacity configuration of electrolytic cells, fuel cells, and hydrogen storage tanks in hydrogen energy storage systems. A capacity optimization configuration model for hydrogen energy storage systems was constructed by comprehensively considering the economic cost, power supply reliability, and wind abandonment rate of microgrids; Establish a capacity optimization model for hydrogen storage systems using wind power output and load from typical day and scenario sets, to reflect the impact of the randomness of wind power output and load on the optimization results; Using an improved cat swarm algorithm with dynamic weights, the capacity optimization configuration model of the proposed hydrogen energy storage system is solved. The feasibility of using the improved cat swarm algorithm to solve the capacity optimization configuration model of hydrogen storage system was verified through numerical examples, and the rationality of the proposed hydrogen storage system capacity optimization configuration model was also demonstrated. |
| format | Article |
| id | doaj-art-d89d6cfd21b64d1daaced11d46958e66 |
| institution | DOAJ |
| issn | 1004-9649 |
| language | zho |
| publishDate | 2023-08-01 |
| publisher | State Grid Energy Research Institute |
| record_format | Article |
| series | Zhongguo dianli |
| spelling | doaj-art-d89d6cfd21b64d1daaced11d46958e662025-08-20T02:47:35ZzhoState Grid Energy Research InstituteZhongguo dianli1004-96492023-08-015610334210.11930/j.issn.1004-9649.202209013zgdl-56-10-huzhendaOptimal Allocation of Hydrogen Storage Capacity Based on Improved Cat Swarm OptimizationZhenda HU0Wenjin JIANG1Linyao ZHANG2Xiaodong YANG3Yichao ZOU4Kai WANG5Economic and Technical Research Institute, State Grid Fujian Electric Power Co., Ltd., Fuzhou 350012, ChinaState Grid Fujian Electric Power Co., Ltd., Fuzhou 350003, ChinaEconomic and Technical Research Institute, State Grid Fujian Electric Power Co., Ltd., Fuzhou 350012, ChinaState Grid Fujian Electric Power Co., Ltd., Fuzhou 350003, ChinaEconomic and Technical Research Institute, State Grid Fujian Electric Power Co., Ltd., Fuzhou 350012, ChinaFujian Yongfu Power Engineering Co., Ltd., Fuzhou 350108, ChinaBased on the hydrogen energy storage system, a hybrid microgrid system with wind power generation and hydrogen energy storage system as the main components has been constructed. This article optimizes the capacity configuration of electrolytic cells, fuel cells, and hydrogen storage tanks in hydrogen energy storage systems. A capacity optimization configuration model for hydrogen energy storage systems was constructed by comprehensively considering the economic cost, power supply reliability, and wind abandonment rate of microgrids; Establish a capacity optimization model for hydrogen storage systems using wind power output and load from typical day and scenario sets, to reflect the impact of the randomness of wind power output and load on the optimization results; Using an improved cat swarm algorithm with dynamic weights, the capacity optimization configuration model of the proposed hydrogen energy storage system is solved. The feasibility of using the improved cat swarm algorithm to solve the capacity optimization configuration model of hydrogen storage system was verified through numerical examples, and the rationality of the proposed hydrogen storage system capacity optimization configuration model was also demonstrated.https://www.electricpower.com.cn/CN/10.11930/j.issn.1004-9649.202209013hydrogen storage systemoptimal allocation of capacityimproved cat swarm algorithmwind powerpower supply reliability |
| spellingShingle | Zhenda HU Wenjin JIANG Linyao ZHANG Xiaodong YANG Yichao ZOU Kai WANG Optimal Allocation of Hydrogen Storage Capacity Based on Improved Cat Swarm Optimization Zhongguo dianli hydrogen storage system optimal allocation of capacity improved cat swarm algorithm wind power power supply reliability |
| title | Optimal Allocation of Hydrogen Storage Capacity Based on Improved Cat Swarm Optimization |
| title_full | Optimal Allocation of Hydrogen Storage Capacity Based on Improved Cat Swarm Optimization |
| title_fullStr | Optimal Allocation of Hydrogen Storage Capacity Based on Improved Cat Swarm Optimization |
| title_full_unstemmed | Optimal Allocation of Hydrogen Storage Capacity Based on Improved Cat Swarm Optimization |
| title_short | Optimal Allocation of Hydrogen Storage Capacity Based on Improved Cat Swarm Optimization |
| title_sort | optimal allocation of hydrogen storage capacity based on improved cat swarm optimization |
| topic | hydrogen storage system optimal allocation of capacity improved cat swarm algorithm wind power power supply reliability |
| url | https://www.electricpower.com.cn/CN/10.11930/j.issn.1004-9649.202209013 |
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