Toward a MILP Modeling Framework for Distribution System Restoration

作     者：Chen, Bo Ye, Zhigang Chen, Chen Wang, Jianhui 

作者机构：Argonne Natl Lab Energy Syst Div 9700 S Cass Ave Argonne IL 60439 USA Xi An Jiao Tong Univ State Key Lab Elect Insulat & Power Equipment Xian 710049 Shaanxi Peoples R China Southern Methodist Univ Dept Elect Engn Dallas TX 75205 USA 

出 版 物：《IEEE TRANSACTIONS ON POWER SYSTEMS》 (IEEE动力系统汇刊)

年 卷 期：2019年第34卷第3期

页      面：1749-1760页

核心收录：

学科分类：0808[工学-电气工程] 08[工学] 

基　　金：U.S. Department of Energy's Solar Energy Technologies Office project 

主　　题：Distribution system distributed generation mixed-integer linear programming service restoration switching sequence management 

摘      要：Large-scale blackouts and extreme weather events in recent decades raise the concern for improving the resilience of electric power infrastructures. Distribution service restoration (DSR), a fundamental application in outage management systems, provides restoration solutions for system operators when power outages happen. As distribution generators (DGs) and remotely controllable devices are increasingly installed in distribution systems, an advanced DSR framework is needed to perform optimally coordinated restoration that can achieve maximal restoration performance. This paper introduces a DSR modeling framework, which can generate optimal switching sequences and estimated time of restoration in the presence of remotely controllable switches, manually operated switches, and dispatchable DGs. Two mathematical models, a variable time step model and a fixed time step model, are presented and compared. The proposed models are formulated as amixed-integer linear programming model, and their effectiveness is evaluated via the IEEE 123 node test feeder.