Load Clustering and Synthetic Modeling Based On An Improved Fuzzy C Means Clustering Algorithm

摘要：

The he clustering and synthesis of the load characteristics is very important to load modeling.AAAA load clustering and synthesis modeling method based on improved fuzzy c means clustering algorithm is presented.Firstly,irstly,the classification algorithm uses the measured response array as character vector to cluster different bus load,and obtains cluster centre.Secondly,econdly,the cluster centre is used to identify the composite load model models parameters.Lastly,astly,the composite load model simulates active and reactive power responses of some substations to compare with the measured responses.With ith some instances,the correctness,effectiveness,convenient realization of the method and the generalization of the composite load model are proved.

关键词： power system:fuzzy c means:load modeling classification of load characteristics:measured response

作者: Guoping SHI Jun LIANG Xiangsheng LIU

作者单位: School of Electrical Engineering Shandong University Jinan City,China;School of information and elec School of Electrical Engineering Shandong University Jinan City,China

会议类型: 国际会议

会议名称: 2011 4th International Conference on Electric Utility Deregulation and Restructuring and Power Technologies(第四届电力设施管制、重建及能源技术国际会议 DRPT 2011)

会议地点: 威海

会议语种:英文

页码: 859-865

在线出版日期: 2011-07-06（万方平台首次上网日期，不代表论文的发表时间）