Identification classification of power user demand response effect based on electricity acquisition data

Abstract

Abstract In recent years, the great potential of power demand-side resources in the power system has been gradually recognized and exploited, especially the demand response of power users. Demand-side management has received more and more attention. In order to clarify the rationality of the requirements response project design and the degree of implementation of the expected effect, this paper studies the demand response characteristics of powerusers’ electricity load. Based on the processing of load data using the analysis technology, the demand response feature indicator is proposed, taking into account the response capacity, response speed, response cycle, and using K-means clustering method to realize the identification and classification to the effect load response of users, and finally give power users demand response interactive Policy.

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