聚类分析法在电能质量评估中的应用

Application of Cluster Analysis Method in Power Quality Assessment

针对电力系统中设备对电能质量的高要求现状,提出了一种基于模糊聚类分析来实现对电能质量的综合评估。通过采用隶属度函数获得监测点各评价指标的隶属度矩阵,并进行模糊化处理得到相应的等价矩阵,引入置信水平值来实现不同监测点下的电能质量综合评估等级,并按照电能质量优劣进行排序,绘出评价指标质量等级的动态聚类图。最后将本文提出的分类方法在实例中进行验证,结果表明:采用该文提出的模糊聚类分析,通过改变置信水平参数能够获得不同置信区间下的电能质量等级,从而实现对多个监测点的电能质量综合评估,实际执行更为准确灵活。

in view of the high demand of equipment for power quality in power system,a comprehensive evaluation of power quality based on fuzzy clustering analysis is proposed.Through the adoption of membership functions for monitoring the membership degree matrix of each evaluation index,and fuzzy processing to get the corresponding equivalent matrix,the confidence level values are introduced to implement different under the monitoring of power quality comprehensive evaluation level,and according to the power quality fit and unfit quality sorting,draw quality grade evaluation indexes of the dynamic clustering figure.Finally to verify the proposed classification method in instance,the results show that the adopted this paper puts forward the fuzzy clustering analysis,by changing the parameters of the confidence level to level of power quality under different confidence intervals,so as to realize the multiple monitoring of power quality comprehensive evaluation,the actual execution is more accurate and flexible.