Optimal power allocation strategy for scaled hydrogen storage power plants based on power-efficiency relationship
In promoting the large-scale application of Hydrogen Storage Power Stations (HSPS), challenges are encountered. These challenges include economic inefficiencies during peak shaving participation and low operational efficiency caused by improper power distribution among units. To address these issues...
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| Format: | Article |
| Language: | English |
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Elsevier
2025-03-01
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| Series: | International Journal of Electrical Power & Energy Systems |
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| Online Access: | http://www.sciencedirect.com/science/article/pii/S0142061524006513 |
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| author | Qi Guo Zhaowei Wang Jun Yan Junhui Li Qianpeng Hao Qiang Li Xingxu Zhu Cuiping Li |
| author_facet | Qi Guo Zhaowei Wang Jun Yan Junhui Li Qianpeng Hao Qiang Li Xingxu Zhu Cuiping Li |
| author_sort | Qi Guo |
| collection | DOAJ |
| description | In promoting the large-scale application of Hydrogen Storage Power Stations (HSPS), challenges are encountered. These challenges include economic inefficiencies during peak shaving participation and low operational efficiency caused by improper power distribution among units. To address these issues, the revenue generated from HSPS participation in peak shaving is examined. A model is established to analyze the economic benefits associated with this participation. An operational strategy is proposed to optimize the role of HSPS in peak shaving. Additionally, the necessary power instructions are derived to ensure the effective operation of these stations. The influence of power output and temperature on the charging and discharging efficiency of storage units is also investigated. The optimal model is constructed to outline the efficiency of hydrogen storage units, and the power allocation strategy for multiple storage units is proposed to maximize system efficiency. The peak shifting capability, operational revenue, and overall operational efficiency of HSPS are improved by the strategy presented in this paper. The degradation impact on the lifespan of the storage units is minimized. The effectiveness of the proposed strategy is validated through simulation analysis. Comparisons with alternative scenarios show that significant advantages are provided by our approach in increasing revenue from peak shifting. Overall peak shifting effectiveness, operational efficiency of storage units, and the operational lifespan of these units are improved. |
| format | Article |
| id | doaj-art-9bfb2ac5707245a48786052e2e4404f2 |
| institution | Kabale University |
| issn | 0142-0615 |
| language | English |
| publishDate | 2025-03-01 |
| publisher | Elsevier |
| record_format | Article |
| series | International Journal of Electrical Power & Energy Systems |
| spelling | doaj-art-9bfb2ac5707245a48786052e2e4404f22025-01-19T06:24:00ZengElsevierInternational Journal of Electrical Power & Energy Systems0142-06152025-03-01164110427Optimal power allocation strategy for scaled hydrogen storage power plants based on power-efficiency relationshipQi Guo0Zhaowei Wang1Jun Yan2Junhui Li3Qianpeng Hao4Qiang Li5Xingxu Zhu6Cuiping Li7Power Dispatch Control Branch, Inner Mongolia Power (Group) Co. Ltd, Hohhot 010020, China; School of Future Technology, Tianjin University, Tianjin 300072, ChinaKey Laboratory of Modern Power System Simulation and Control & Renewable Energy Technology, Ministry of Education (Northeast Electric Power University), Jilin 132012, ChinaPower Dispatch Control Branch, Inner Mongolia Power (Group) Co. Ltd, Hohhot 010020, ChinaKey Laboratory of Modern Power System Simulation and Control & Renewable Energy Technology, Ministry of Education (Northeast Electric Power University), Jilin 132012, China; Corresponding author.Power Dispatch Control Branch, Inner Mongolia Power (Group) Co. Ltd, Hohhot 010020, ChinaPower Dispatch Control Branch, Inner Mongolia Power (Group) Co. Ltd, Hohhot 010020, ChinaKey Laboratory of Modern Power System Simulation and Control & Renewable Energy Technology, Ministry of Education (Northeast Electric Power University), Jilin 132012, ChinaKey Laboratory of Modern Power System Simulation and Control & Renewable Energy Technology, Ministry of Education (Northeast Electric Power University), Jilin 132012, ChinaIn promoting the large-scale application of Hydrogen Storage Power Stations (HSPS), challenges are encountered. These challenges include economic inefficiencies during peak shaving participation and low operational efficiency caused by improper power distribution among units. To address these issues, the revenue generated from HSPS participation in peak shaving is examined. A model is established to analyze the economic benefits associated with this participation. An operational strategy is proposed to optimize the role of HSPS in peak shaving. Additionally, the necessary power instructions are derived to ensure the effective operation of these stations. The influence of power output and temperature on the charging and discharging efficiency of storage units is also investigated. The optimal model is constructed to outline the efficiency of hydrogen storage units, and the power allocation strategy for multiple storage units is proposed to maximize system efficiency. The peak shifting capability, operational revenue, and overall operational efficiency of HSPS are improved by the strategy presented in this paper. The degradation impact on the lifespan of the storage units is minimized. The effectiveness of the proposed strategy is validated through simulation analysis. Comparisons with alternative scenarios show that significant advantages are provided by our approach in increasing revenue from peak shifting. Overall peak shifting effectiveness, operational efficiency of storage units, and the operational lifespan of these units are improved.http://www.sciencedirect.com/science/article/pii/S0142061524006513Hydrogen storage power stationPeak shavingPower allocationEnergy storage unitState of charge |
| spellingShingle | Qi Guo Zhaowei Wang Jun Yan Junhui Li Qianpeng Hao Qiang Li Xingxu Zhu Cuiping Li Optimal power allocation strategy for scaled hydrogen storage power plants based on power-efficiency relationship International Journal of Electrical Power & Energy Systems Hydrogen storage power station Peak shaving Power allocation Energy storage unit State of charge |
| title | Optimal power allocation strategy for scaled hydrogen storage power plants based on power-efficiency relationship |
| title_full | Optimal power allocation strategy for scaled hydrogen storage power plants based on power-efficiency relationship |
| title_fullStr | Optimal power allocation strategy for scaled hydrogen storage power plants based on power-efficiency relationship |
| title_full_unstemmed | Optimal power allocation strategy for scaled hydrogen storage power plants based on power-efficiency relationship |
| title_short | Optimal power allocation strategy for scaled hydrogen storage power plants based on power-efficiency relationship |
| title_sort | optimal power allocation strategy for scaled hydrogen storage power plants based on power efficiency relationship |
| topic | Hydrogen storage power station Peak shaving Power allocation Energy storage unit State of charge |
| url | http://www.sciencedirect.com/science/article/pii/S0142061524006513 |
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