Abstract

This paper focuses on the application of demand response (DR) in electricity customer classification and management, puts forward universal DR level index and load curve level index, constructing the customer classification index system. Principal component analysis (PCA) is used to reduce the original data dimension. Then the two methods for clustering are adopted and compared with the results. An example will be used to illustrate the effectiveness of the advantageous algorithm and the feasibility of the model. Based on the result of customer classification, discussing on the problems of customer management in China's electricity market, including market access and different types of customer incentive schemes. The work will be conducive to the promotion of DR and the development of the electricity market in China.

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