综合智慧能源2025，Vol.47Issue(5)：62-72,11.DOI:10.3969/j.issn.2097-0706.2025.05.007
计及双重不确定性的光储充电站日前电力市场交易研究
Research on day-ahead electricity market trading of photovoltaic and energy storage charging stations considering dual uncertainties
摘要
Abstract
To improve the accuracy of bid selection for PV and energy storage charging stations(PECS)in market transactions,an innovative strategy is proposed,where the optimal trading strategy is determined by PECS and electric vehicles(EV)through a leader-follower game during the pre-clearing period.This approach aims to maximize revenue during the official clearing period.Considering the uncertainties of PV output and users'willingness to charge that influence the transaction results in the game process,a robust optimization uncertainty set and the Takagi-Sugeno-Kang(TSK)fuzzy model were employed to address these uncertainties.A leader-follower market trading model was established,with PECS as the leader and EV as the follower,to improve the market income of PECS.A case study simulated two scenarios:one where PECS and EVs participated in the day-ahead market through game optimization,and another where they did so without game optimization.The game model was solved by the commercial solver CPLEX and intelligent optimization algorithm.PECS operating results showed that the profits of three operators increased by 12.59%,29.13%,20.37%,respectively,while the charging volatility of EV users decreased by 4.4,3.6 and 5.2 percentage,respectively.The results validated the effectiveness of the model in improving operating revenue and reducing charging volatility.关键词
日前电力现货市场/主从博弈/光储充电站/双重不确定性/电动汽车Key words
day-ahead electricity spot market/leader-follower game/photovoltaic and energy storage charging station/dual uncertainty/electric vehicle分类
信息技术与安全科学引用本文复制引用
梁海平,王金英..计及双重不确定性的光储充电站日前电力市场交易研究[J].综合智慧能源,2025,47(5):62-72,11.基金项目
河北省自然科学基金项目(E2024502048) （E2024502048）
中央高校科研基金项目(2024MS097)Natural Science Foundation of Hebei Province(E2024502048) （2024MS097）
Research Fund for the Central Universities(2024MS097) （2024MS097）
