Robust Planning Method for Regional Integrated Energy System Considering Multi-energy Load Uncertainties

被引：0
|
作者：
Shen X. [1 ]
Guo Q. [2 ,3 ]
Xu Y. [1 ]
Sun H. [2 ,3 ]
机构：
[1] Tsinghua-Berkeley Shenzhen Institute, Tsinghua University, Shenzhen
[2] Department of Electrical Engineering, Tsinghua University, Beijing
[3] State Key Laboratory of Control and Simulation of Power System and Generation Equipments, Tsinghua University, Beijing
来源：
Dianli Xitong Zidonghua/Automation of Electric Power Systems | 2019年 / 43卷 / 07期
基金：
中国博士后科学基金; 中国国家自然科学基金;
关键词：
Energy hub; Integrated energy system; Robust planning; Uncertainty;
D O I：
10.7500/AEPS20180511003
中图分类号：
学科分类号：
摘要：
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. © 2019 Automation of Electric Power Systems Press.
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页码：34 / 41
页数：7
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