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.