基于能量灵敏度矩阵和模糊聚类分析的电压控制分区  

Voltage control partitioning based on energy sensitivity matrix and fuzzy clustering analysis

作　　者：康勇[1] 李华强[1] 郑武[1] 康宁[2] 赵磊[1] 

机构地区：[1]四川大学电气信息学院,智能电网四川省重点实验室,四川成都610065 [2]德阳电业局,四川德阳618000

出　　处：《电力系统保护与控制》2011年第12期69-73,共5页Power System Protection and Control

摘　　要：基于静态能量函数的数学模型,提出一种构建能量/电压灵敏度矩阵并利用模糊聚类分析进行电压控制分区的新方法。从节点的能量信息出发,通过节点的趋势指标构建系统的能量灵敏度矩阵,再利用模糊聚类分析最大树法对该矩阵进行电压控制区域划分。将此方法运用于IEEE30节点系统,对分区结果进行分析并与其他方法比较,验证了该方法的有效性和可行性,且所得分区结果满足区域内强耦合,区域间弱耦合。Based on the mathematical model of static energy function,this paper proposes a new voltage control partitioning method using fuzzy clustering analysis,which is established on the energy/voltage sensitivity matrix.With the energy information of nodes,we establish the energy sensitivity matrix（ESM）based on the tendency index of nodes.Then the ESM is decomposed to get the voltage control area by maximum tree method of fuzzy clustering analysis.It is used in IEEE 30 node system.The partitioning result is analyzed and compared with the other methods to demonstrate the validity and feasibility of the proposed method,and the obtained partitioning result meets the requirement of inter-area strong coupling and regional weak coupling.

关 键 词：静态能量函数 能量灵敏度矩阵 模糊聚类分析 最大树法 二级电压控制 

分 类 号：TM761[电气工程—电力系统及自动化]