Heterogeneous resources self-organizing demand response model based on federal thought and influence model

Abstract

The traditional distribution network has basically no adjustable and controllable resources inside, so most of the scheduling methods of the traditional distribution network are centralized. However, centralized scheduling cannot accurately recognize massive flexible resources (especially heterogeneous resources), and it is unrealistic to establish a central database for complete data storage of these massive flexible resources, which also increases the difficulty for power system operators to achieve demand response management for future regional energy networks. Therefore, the paper intends to use the federal thought (FT) to enable power system operators to obtain influence models (IM) of various heterogeneous resources in the microgrid under the premise of ensuring privacy. The operator will process the model and return it to the microgrid operator to realize the self-organization of wide-area resources, thereby realizing efficient and profitable demand response management. At the end of the paper, the results of this method are compared with the results of traditional demand response scheduling to verify the effectiveness of the method.