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文章摘要
考虑负荷容量的改进型二阶灵敏度分析SV系数在城乡配电网无功选址中应用
Improved SV coefficient of two order sensitivity analysis considering load capacity in reactive power allocation of urban and rural distribution network
Received:August 18, 2017  Revised:August 18, 2017
DOI:
中文关键词: 灵敏度分析  改进粒子群算法  SV系数
英文关键词: Sensitivity analysis  Improved particle swarm optimization  SV coefficient
基金项目:
Author NameAffiliationE-mail
Li Xiao Ming School of Electrical Engineering Wuhan University xmli@whu.edu.cn 
Liu Sheng School of Electrical Engineering Wuhan University foxes1994@163.com 
xiajunfeng* School of Electrical Engineering Wuhan University jstormx@whu.edu.cn 
gong ping State Grid Hubei electric power company Wuhan Xinzhou district power supply company 1258443568@qq.com 
jiang han min State Grid Hubei electric power company Wuhan Xinzhou district power supply company 32901761@qq.com 
yi feng State Grid Hubei electric power company Wuhan Xinzhou district power supply company 174216063@qq.com 
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中文摘要:
      在考虑负荷容量的前提下,针对灵敏度优选补偿集合存在的四个问题,在二阶无功灵敏度分析的基础上进一步探讨二阶无功灵敏度对线路总网损的影响,并通过极限与微分的公式推导得出了当二阶无功灵敏度与线路负荷相乘可以作为二阶无功灵敏度选址的依据,将其定义为SV系数,选取SV系数较大的节点作为无功补偿节点,并通过改进粒子群算法加以定容验证,以PG E69节点进行验证实验,验证了该方法的可行性和可靠性。
英文摘要:
      Considering the load capacity, to solve the four problem sets are preferably sensitivity compensation, to further explore the effect of two order var sensitivity on line total transmission loss based on the analysis of two order var sensitivity, and through the limit and differential formula was obtained when two order reactive power sensitivity and line load can be multiplied as the two order var sensitivity selection basis, which is defined as the SV coefficient, SV coefficient of the selected node as a reactive power compensation node, and constant volume is verified by improved particle swarm algorithm to PG E69 node verification test, verify the feasibility and reliability of the method.
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