Load clustering and synthetic modeling based on an improved fuzzy c means clustering algorithm

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