摘要
提出一种无功优化不可行问题的薄弱环节辨识方法。根据不可行问题的物理特征提出了薄弱的无功补偿节点和薄弱的负荷节点两个基本概念。针对薄弱的无功补偿节点、薄弱的负荷节点、或者两种薄弱节点共存的3种状况,提出了薄弱节点类型的辨识方案和薄弱节点的辨识方法。对前者,该文采用无功优化的同伦内点法。对后者,该文首先根据薄弱节点类型建立了3种优化辨识模型。其中,目标函数包括薄弱节点的个数最少、虚拟无功增量最少或者电压越限量最少,约束条件除传统无功优化模型约束外,增加了无功补偿点的虚拟无功增量约束以及节点电压幅值的松弛约束。模型的求解采用结合初始种群定制策略的免疫遗传算法,并通过63节点厂站模拟系统的仿真分析,验证了所提方法的有效性。
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.
出处
《中国电机工程学报》
EI
CSCD
北大核心
2015年第18期4616-4624,共9页
Proceedings of the CSEE
基金
重庆市科委自然科学基金面上项目(cstc2013jcyj A 90001)
高校博士点基金项目(20120191110006)~~
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
infeasibility of reactive optimization problem
reactive power compensation
voltage magnitude violation
weak bus
recognizing model
