电力系统及其自动化学报2024，Vol.36Issue(4)：38-49,58,13.DOI:10.19635/j.cnki.csu-epsa.001294
计及需求响应的MPIES多时空尺度鲁棒随机优化调度
Robust Stochastic Optimal Scheduling of MPIES on Multiple Time-space Scales Considering Demand Response
摘要
Abstract
Aimed at the optimal scheduling problem of a multi-park integrated energy system on multiple time scales,a robust stochastic optimal scheduling architecture of a multi-park integrated energy system on multiple time-space scales considering demand response is proposed by combining the uncertain and response characteristics of source load on each time scale,as well as the impact of the number of parks on the computing scale.In the day-ahead scheduling,a ro-bust optimal scheduling model for a multi-park multi-energy flow system considering interruptible load is established,thus determining the basic scheduling strategy in the worst operating scenario of the system.In the intraday scheduling,a stochastic optimal scheduling model for a single-park multi-energy flow system considering interruptible load and alter-native demand response is established,and the scheduling strategies are refined and adjusted.In the real-time schedul-ing,a stochastic optimal scheduling model for a single-park electrical system considering direct load control is estab-lished,thereby weakening the impact of source load output fluctuations on the scheduling strategy.Finally,the result of an example verifies that the proposed architecture effectively improves the economy and stability of system operation.关键词
多园区综合能源系统/多时空尺度/不确定性/需求响应Key words
multi-park integrated energy system(MPIES)/multiple time-space scales/uncertainty/demand response分类
信息技术与安全科学引用本文复制引用
黄海涛,田胜轩,余文昶,曹俊波..计及需求响应的MPIES多时空尺度鲁棒随机优化调度[J].电力系统及其自动化学报,2024,36(4):38-49,58,13.基金项目
国家自然科学基金资助项目(52077130) （52077130）
上海市科学技术委员会科研计划资助项目(18DZ1203200) （18DZ1203200）
