摘要
针对电力现货市场与深度调峰市场联合运行背景下发电商电能量利润空间压缩、深度调峰功能亟待拓展等问题,提出考虑不确定性的发电商现货-深度调峰市场优化策略。基于Stackelberg博弈,构建兼顾联合市场利润和风险的发电商日前报价策略双层优化模型。在上层模型中,以发电商联合市场利润最大化为目标,对发电商分段报价进行优化;在下层模型中,考虑竞争对手报价场景的不确定性,提出电力现货-深度调峰市场联合出清模型。针对净负荷不确定性,引入波动不确定度参数,将双层模型转换为基于信息间隙决策理论的发电商现货-深度调峰市场决策模型。基于安徽省实际市场数据进行仿真验证,得到适应不同负荷场景的发电商联合市场日前报价策略,结果表明考虑不确定性的联合优化决策能够有效规避负荷不确定性带来的利润波动风险。
Aiming at the problems such as the spatial compression of electric energy profit of power suppliers and the urgent need to expand the deep peak regulation function under the background of joint operation of electricity spot market and deep peak regulation market,an optimization strategy of power suppliers in spot-deep peak regulation market considering the uncertainty is proposed.Based on Stackelberg game,a bilevel optimization model of day-ahead bidding strategy for power suppliers is constructed considering the profit and risk of the joint market.In the upper level model,the segmented quotation price of power sup⁃pliers is optimized with the maximum profit of power suppliers in the joint market as the object.In the lower level model,a joint clearing model of electricity spot-deep peak regulation market is proposed considering the uncertainty of quotation price scenarios of the competitors.Aiming at the uncertainty of net load,a fluctuation uncertainty parameter is introduced,and the bi-level model is converted into a decision model of power suppliers in spot-deep peak regulation market based on the information gap decision theory.The simulation and verification based on the actual market data of Anhui province is carried out,the day-ahead bidding strategies of power suppliers adapting to different load scenarios in the joint market are obtained,and the results show that the joint optimal decision considering the uncertainty can effectively avoid the risk of profit fluctuation brought by the load uncertainty.
作者
王沛
王韵楚
林哲敏
季超
齐慧
杨莉
何川
林振智
WANG Pei;WANG Yunchu;LIN Zhemin;JI Chao;QI Hui;YANG Li;HE Chuan;LIN Zhenzhi(College of Electrical Engineering,Zhejiang University,Hangzhou 310027,China;Anhui Power Exchange Center Co.,Ltd.,Hefei 230051,China)
出处
《电力自动化设备》
EI
CSCD
北大核心
2024年第5期208-216,共9页
Electric Power Automation Equipment
基金
国家重点研发计划项目(2022YFB2403100)。
