内蒙古电力技术2026，Vol.44Issue(3)：1-11,11.DOI:10.19929/j.cnki.nmgdljs.2026.0027
辅助服务市场环境下虚拟储能电厂多时间尺度滚动优化调度
Multi Time Scale Rolling Optimized Scheduling of VSP in Ancillary Service Market
摘要
Abstract
According to the user load characteristics and the controllable load time-domain response features and the regulation potential of auxiliary services in virtual energy storage plants(VSP),this paper proposes a peak shaving performance index,which can reflect the difference in response performance of flexible resources.Based on the index,a day ahead optimization model aiming at maximizing the operating income of VSP and a time-ahead rolling and real-time correction optimization model aiming at minimizing the penalty cost of VSP output changes in rolling time domain are established respectively.In the day ahead stage,the linear programming algorithm is used to solve the day ahead optimal declared power and the number of peak shaving contracts signed with users.In the intra-day stage,the rolling optimization strategy is introduced into the composite differential evolution algorithm to solve the model,forming a rolling tracking and correction feedback for the output deviation in the intra-day and time-ahead/real-time stages.Finally,an example is given to verify the advantages of the proposed model and strategy in improving the flexibility of demand side resource peak shaving and enhancing the capacity of VSP emergency peak shaving.关键词
虚拟储能电厂/灵活性资源/调峰性能指标/滚动优化/多时间尺度Key words
virtual energy storage plants(VSP)/flexibility resources/peak shaving performance index/rolling optimization/multi time scale分类
信息技术与安全科学引用本文复制引用
田壁源,刘倩汝,常喜强,张新燕..辅助服务市场环境下虚拟储能电厂多时间尺度滚动优化调度[J].内蒙古电力技术,2026,44(3):1-11,11.基金项目
国家自然科学基金资助项目"含大规模集中式风电场群的新疆电网中谐波合规律研究"(51667018) （51667018）
