Decision-making method of load interaction mode for demand response

This paper proposes a decision-making method of load interaction mode for demand response by using fine analysis and intelligent decision on the user´s load characteristic curve and indexes, which can achieve the effective interaction between grid-side and user-side, provide users with interaction recommendations, and assist the effective implementation of demand response program. Firstly, the intelligent decision-making process of load interaction mode is given. Then, the basic principles of users´ typical load form extraction, classification and recognition algorithm are stated. Finally, a calculation example is analysed based on daily load data set from 337 users of a power supply company, whose load characteristics and behaviour features are classified and described. On this basis, a decision tree of load interaction mode is built to realize intelligent load classification and interaction mode matching for new user. Through the calculation example, the correctness of the decision-making method is verified in the aspect of load analysis and interaction mode recognition.