电力系统自动化2017，Vol.41Issue(15)：113-120,175,9.DOI:10.7500/AEPS20161212012
基于信息间隙决策理论的电网负荷恢复鲁棒优化
Robust Restoration Method for Power System Load Based on Information Gap Decision Theory
摘要
Abstract
Owing to the effect of uncertainties of load restoration on the power system security in the restoration process,it is necessary to consider the uncertainties during restoration.Afraid it's hardly practical to obtain an accurate model of load uncertainty distribution,a network load restoring robust optimization method based on the information gap decision theory (IGDT) is proposed.This will enable the load restoring scheme to always meet the requirements within the range of fluctuation without prior knowledge of load uncertainty distribution.According to IGDT,the deterministic optimization model is reformed to a robust model,which can always achieve the minimum restoration object in the range of load fluctuation.Meanwhile,the maximum capacity of load restoration constraints,the maximum capacity of load restoration at each time step,power flow constraint and other constraints are taken into account comprehensively.The artificial bee colony (ABC) algorithm is also used to solve the optimization problem.Lastly,numerical tests on a New England system and on Jiangsu power grid are used to demonstrate the effectiveness of the proposed method.关键词
负荷恢复/不确定性/信息间隙决策理论/鲁棒优化Key words
load restoration/uncertainties/information gap decision theory (IGDT)/robust optimization引用本文复制引用
宋坤隆,谢云云,陈晞,张刘冬,汪成根,殷明慧..基于信息间隙决策理论的电网负荷恢复鲁棒优化[J].电力系统自动化,2017,41(15):113-120,175,9.基金项目
国家自然科学基金资助项目(51507080) （51507080）
江苏省博士后基金资助项目(1402042C).This work is supported by National Natural Science Foundation of China (No.51507080) and Jiangsu Postdoctoral Foundation (No.1402042C). （1402042C）
