中国电机工程学报Issue(18)：4616-4624,9.DOI:10.13334/j.0258-8013.pcsee.2015.18.007
无功优化不可行问题的薄弱节点辨识方法
A Recognizing Method for Weak Buses for the Infeasibility of Reactive Optimization Problem
摘要
Abstract
ABSTRACT:This paper proposed a recognizing method for weak buses for the infeasibility of reactive optimization problem. Based on the physical features caused infeasibility, the two concepts of weak buses with installing reactive power compensation and with low voltage magnitude were proposed. According to three existing possibilities of weak buses in the system with installing reactive power compensation exclusively, with low voltage magnitude, or in a hybrid of those two types, a recognizing plan for weak buses type and a recognizing method for weak buses were proposed. The homogeneous interior point method (HIPM) is employed for detecting the weak buses type, and three recognizing models were established in accordance with the weak buses type. The objectives were the minimum total number of weak buses, the least quantitation of virtual reactive power compensation or voltage magnitude violations. The set of constraints were composed of the conventional reactive optimization constraints and the expanded capacity of virtual reactive power compensation constraints and the relaxed specific voltage security constraints. The immunity genetic algorithm (IGA) was hired for solving the proposed recognizing models with an initial population created by a customized strategy. Finally, a 63-bus test system was used for simulating and verifying that the proposed method was effective.关键词
无功优化不可行/无功补偿/电压越限/薄弱节点/辨识模型Key words
infeasibility of reactive optimization problem/reactive power compensation/voltage magnitude violation/weak bus/recognizing model分类
信息技术与安全科学引用本文复制引用
颜伟,雷超,文旭,王强钢,李一铭,赵霞,余娟..无功优化不可行问题的薄弱节点辨识方法[J].中国电机工程学报,2015,(18):4616-4624,9.基金项目
重庆市科委自然科学基金面上项目(cstc2013jcyjA 90001)；高校博士点基金项目(20120191110006)。Project Supported by Fundamental and Frontier Research Foundation of Chongqing (cstc2013jcyjA90001) （cstc2013jcyjA 90001）
Ph.D. Programs Foundation (20120191110006) （20120191110006）
