摘要
提出了一种考虑冷电热多能负荷不确定性的区域综合能源系统鲁棒规划方法。基于能源集线器(energy hub,EH)模型,建立了含冷电热三联供、燃气锅炉、集中式制冷站在内的区域综合能源系统模型;根据历史/预测年8 760 h多能负荷数据,通过k-means聚类分群方法得到多个典型日负荷场景,以上下界区间描述负荷不确定性,形成鲁棒规划模型;将相应鲁棒规划模型等价转化、形成子问题为凸的混合整数规划模型求解。算例结果证明了该规划方法的有效性,同时体现了综合能源系统多能互补集成优化效益。
A robust planning method for regional integrated energy system(RIES) is proposed in this paper, in which electric/cooling/heating load uncertainties are considered. Based on energy hub(EH) model, a regional IES planning model including combined cooling, heating and power(CCHP), gas boiler, centralized cooling station is formulated. Several typical daily load curves are obtained by k-means data clustering method based on historical/predicting annual load profile of 8 760 hours. The load uncertainties are described by adaptive upper and lower bounds, thus a robust planning model can be achieved. Furthermore, the model can be equivalently recast as a mixed integer planning model, in which the sub-problem is convex. The case studies demonstrate the effectiveness of the proposed method, as well as the benefits of IES in optimization and coordinations between multi-energy systems.
作者
沈欣炜
郭庆来
许银亮
孙宏斌
SHEN Xinwei;GUO Qinglai;XU Yinliang;SUN Hongbin(Tsinghua-Berkeley Shenzhen Institute, Tsinghua University, Shenzhen 518055, China;Department of Electrical Engineering, Tsinghua University, Beijing 100084, China;Slate Key Laboratory of Control and Simulation of Power System and Generation Equipments, Tsinghua University, Beijing 100084, China)
出处
《电力系统自动化》
EI
CSCD
北大核心
2019年第7期34-41,共8页
Automation of Electric Power Systems
基金
国家自然科学基金资助项目(51537006)
中国博士后科学基金资助项目(2018T110097)~~
