Capacity optimization of photovoltaic storage hydrogen power generation system with peak shaving and frequency regulation
Abstract To solve the problem of power imbalance caused by the large-scale integration of photovoltaic new energy into the power grid, an improved optimization configuration method for the capacity of a hydrogen storage system power generation system used for grid peak shaving and frequency regulati...
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| Format: | Article |
| Language: | English |
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SpringerOpen
2025-01-01
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| Series: | Sustainable Energy Research |
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| Online Access: | https://doi.org/10.1186/s40807-024-00141-z |
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| author | Dan Yu Peng Yang Weijun Zhu |
| author_facet | Dan Yu Peng Yang Weijun Zhu |
| author_sort | Dan Yu |
| collection | DOAJ |
| description | Abstract To solve the problem of power imbalance caused by the large-scale integration of photovoltaic new energy into the power grid, an improved optimization configuration method for the capacity of a hydrogen storage system power generation system used for grid peak shaving and frequency regulation is proposed. A hydrogen storage power generation system model is established, and the photovoltaic power generation and hydrogen fuel cell power generation is calculated. A two-layer hydrogen storage power generation system capacity optimization configuration model was established, an improved particle swarm optimization algorithm was used to solve the improved hydrogen storage power generation system capacity optimization configuration model, and the capacity optimization configuration results were obtained. The experimental results show that this method can obtain the best capacity allocation result based on local lighting conditions and the cost of the power generation system, whereas the improved particle swarm optimization algorithm can solve the model faster and reduce the cost of the power generation system. After applying this method, the net income of the solar hydrogen storage power generation system has almost doubled. |
| format | Article |
| id | doaj-art-569e879f489a4062b80992a815e06880 |
| institution | Kabale University |
| issn | 2731-9237 |
| language | English |
| publishDate | 2025-01-01 |
| publisher | SpringerOpen |
| record_format | Article |
| series | Sustainable Energy Research |
| spelling | doaj-art-569e879f489a4062b80992a815e068802025-01-19T12:33:20ZengSpringerOpenSustainable Energy Research2731-92372025-01-0112111510.1186/s40807-024-00141-zCapacity optimization of photovoltaic storage hydrogen power generation system with peak shaving and frequency regulationDan Yu0Peng Yang1Weijun Zhu2Zhejiang Huayun Electric Power Engineering Design Consulting Co., Ltd.Zhejiang Huayun Electric Power Engineering Design Consulting Co., Ltd.Zhejiang Huayun Electric Power Engineering Design Consulting Co., Ltd.Abstract To solve the problem of power imbalance caused by the large-scale integration of photovoltaic new energy into the power grid, an improved optimization configuration method for the capacity of a hydrogen storage system power generation system used for grid peak shaving and frequency regulation is proposed. A hydrogen storage power generation system model is established, and the photovoltaic power generation and hydrogen fuel cell power generation is calculated. A two-layer hydrogen storage power generation system capacity optimization configuration model was established, an improved particle swarm optimization algorithm was used to solve the improved hydrogen storage power generation system capacity optimization configuration model, and the capacity optimization configuration results were obtained. The experimental results show that this method can obtain the best capacity allocation result based on local lighting conditions and the cost of the power generation system, whereas the improved particle swarm optimization algorithm can solve the model faster and reduce the cost of the power generation system. After applying this method, the net income of the solar hydrogen storage power generation system has almost doubled.https://doi.org/10.1186/s40807-024-00141-zPower generation systemCapacity improvementPeak regulation and frequency modulationImprove the modelImproved particle swarm optimization |
| spellingShingle | Dan Yu Peng Yang Weijun Zhu Capacity optimization of photovoltaic storage hydrogen power generation system with peak shaving and frequency regulation Sustainable Energy Research Power generation system Capacity improvement Peak regulation and frequency modulation Improve the model Improved particle swarm optimization |
| title | Capacity optimization of photovoltaic storage hydrogen power generation system with peak shaving and frequency regulation |
| title_full | Capacity optimization of photovoltaic storage hydrogen power generation system with peak shaving and frequency regulation |
| title_fullStr | Capacity optimization of photovoltaic storage hydrogen power generation system with peak shaving and frequency regulation |
| title_full_unstemmed | Capacity optimization of photovoltaic storage hydrogen power generation system with peak shaving and frequency regulation |
| title_short | Capacity optimization of photovoltaic storage hydrogen power generation system with peak shaving and frequency regulation |
| title_sort | capacity optimization of photovoltaic storage hydrogen power generation system with peak shaving and frequency regulation |
| topic | Power generation system Capacity improvement Peak regulation and frequency modulation Improve the model Improved particle swarm optimization |
| url | https://doi.org/10.1186/s40807-024-00141-z |
| work_keys_str_mv | AT danyu capacityoptimizationofphotovoltaicstoragehydrogenpowergenerationsystemwithpeakshavingandfrequencyregulation AT pengyang capacityoptimizationofphotovoltaicstoragehydrogenpowergenerationsystemwithpeakshavingandfrequencyregulation AT weijunzhu capacityoptimizationofphotovoltaicstoragehydrogenpowergenerationsystemwithpeakshavingandfrequencyregulation |