Bidding Strategies for Energy Storage Participation in Electricity Market Considering Uncertainty of Wind Power and Carbon Trading
Power side energy storage is a powerful tool for promoting the consumption of new energy and implementing the “dual carbon” strategy. In view of the imperfection of the bidding mechanism of the power side energy storage as an emerging entity participating in the competitive joint electricity market,...
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| Format: | Article |
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Editorial Office of Journal of Shanghai Jiao Tong University
2024-12-01
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| Series: | Shanghai Jiaotong Daxue xuebao |
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| Online Access: | https://xuebao.sjtu.edu.cn/article/2024/1006-2467/1006-2467-58-12-1868.shtml |
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| author | ZHANG Xianwen, YIN Gaowen, SHEN Feifan, HUANG Sheng, WEI Juan |
| author_facet | ZHANG Xianwen, YIN Gaowen, SHEN Feifan, HUANG Sheng, WEI Juan |
| author_sort | ZHANG Xianwen, YIN Gaowen, SHEN Feifan, HUANG Sheng, WEI Juan |
| collection | DOAJ |
| description | Power side energy storage is a powerful tool for promoting the consumption of new energy and implementing the “dual carbon” strategy. In view of the imperfection of the bidding mechanism of the power side energy storage as an emerging entity participating in the competitive joint electricity market, and starting from the game relationship of the power side energy storage as a price maker participating in the spot electricity market, a bidding game two-level optimization model of the power side energy storage participating in the multi scenario application of the electric energy and reserve ancillary service market is proposed, considering the uncertainty of wind power output and the coupling of the electricity market with the introduction of carbon trading. The energy storage at the upper power supply side, as a leader, makes bidding decisions with the goal of maximizing its own comprehensive income, while the lower power trading center as a follower completes market clearing with the minimum cost of social power purchase and balance regulation. The MATLAB simulation verifies the rationality and effectiveness of the proposed model in optimizing the participation of power side energy storage in multi scenario application bidding in the electricity market and improving the comprehensive operating income of the energy storage. |
| format | Article |
| id | doaj-art-aac27e6c7f6c408da6abfa6f95c06b28 |
| institution | Kabale University |
| issn | 1006-2467 |
| language | zho |
| publishDate | 2024-12-01 |
| publisher | Editorial Office of Journal of Shanghai Jiao Tong University |
| record_format | Article |
| series | Shanghai Jiaotong Daxue xuebao |
| spelling | doaj-art-aac27e6c7f6c408da6abfa6f95c06b282025-01-13T09:57:55ZzhoEditorial Office of Journal of Shanghai Jiao Tong UniversityShanghai Jiaotong Daxue xuebao1006-24672024-12-0158121868188010.16183/j.cnki.jsjtu.2023.149Bidding Strategies for Energy Storage Participation in Electricity Market Considering Uncertainty of Wind Power and Carbon TradingZHANG Xianwen, YIN Gaowen, SHEN Feifan, HUANG Sheng, WEI Juan01. Linqu County Major Project Service Center, Weifang 262600, Shandong, China;2. College of Electrical and Information Engineering, Hunan University, Changsha 410082, ChinaPower side energy storage is a powerful tool for promoting the consumption of new energy and implementing the “dual carbon” strategy. In view of the imperfection of the bidding mechanism of the power side energy storage as an emerging entity participating in the competitive joint electricity market, and starting from the game relationship of the power side energy storage as a price maker participating in the spot electricity market, a bidding game two-level optimization model of the power side energy storage participating in the multi scenario application of the electric energy and reserve ancillary service market is proposed, considering the uncertainty of wind power output and the coupling of the electricity market with the introduction of carbon trading. The energy storage at the upper power supply side, as a leader, makes bidding decisions with the goal of maximizing its own comprehensive income, while the lower power trading center as a follower completes market clearing with the minimum cost of social power purchase and balance regulation. The MATLAB simulation verifies the rationality and effectiveness of the proposed model in optimizing the participation of power side energy storage in multi scenario application bidding in the electricity market and improving the comprehensive operating income of the energy storage.https://xuebao.sjtu.edu.cn/article/2024/1006-2467/1006-2467-58-12-1868.shtmlpower side energy storageelectricity marketuncertainty of wind powercarbon tradingbidding strategytwo-level optimization model |
| spellingShingle | ZHANG Xianwen, YIN Gaowen, SHEN Feifan, HUANG Sheng, WEI Juan Bidding Strategies for Energy Storage Participation in Electricity Market Considering Uncertainty of Wind Power and Carbon Trading Shanghai Jiaotong Daxue xuebao power side energy storage electricity market uncertainty of wind power carbon trading bidding strategy two-level optimization model |
| title | Bidding Strategies for Energy Storage Participation in Electricity Market Considering Uncertainty of Wind Power and Carbon Trading |
| title_full | Bidding Strategies for Energy Storage Participation in Electricity Market Considering Uncertainty of Wind Power and Carbon Trading |
| title_fullStr | Bidding Strategies for Energy Storage Participation in Electricity Market Considering Uncertainty of Wind Power and Carbon Trading |
| title_full_unstemmed | Bidding Strategies for Energy Storage Participation in Electricity Market Considering Uncertainty of Wind Power and Carbon Trading |
| title_short | Bidding Strategies for Energy Storage Participation in Electricity Market Considering Uncertainty of Wind Power and Carbon Trading |
| title_sort | bidding strategies for energy storage participation in electricity market considering uncertainty of wind power and carbon trading |
| topic | power side energy storage electricity market uncertainty of wind power carbon trading bidding strategy two-level optimization model |
| url | https://xuebao.sjtu.edu.cn/article/2024/1006-2467/1006-2467-58-12-1868.shtml |
| work_keys_str_mv | AT zhangxianwenyingaowenshenfeifanhuangshengweijuan biddingstrategiesforenergystorageparticipationinelectricitymarketconsideringuncertaintyofwindpowerandcarbontrading |