Day-ahead optimal dispatch of active distribution network with micro-energy grid considering demand response

Abstract

In view of the existing researches that do not fully consider the role of cold/heat load of micro-energy grid(MEG) in large-scale PV absorption, and the problem that the source/charge interaction is not fully carried out in the dispatching of distribution network with MEG, a day-ahead optimization dispatching method of active distribution network(ADN) with MEG access is proposed, which takes demand response(DR) into account. First, a two-tier dispatch framework for ADN is established, and a DR mechanism is introduced into the framework to build an interactive relationship between ADN and MEG; Second, a two-layer optimal dispatching mathematical model of ADN with DR is introduced, in which the MEG layer is based on DR subsidies, and the system operation plan is formulated with the lowest operating cost as the goal; the ADN layer optimizes the load demand at each time period by adjusting the DR subsidies, with the goal of maximizing revenue. Constraints include distribution network power flow constraints, branch current constraints, distributed power constraints, and MEG equipment model constraints; Third, the chaotic particle swarm algorithm based on particle dimensional entropy and greedy strategy is used to solve the model. Finally, the results of calculation examples show that the method proposed in this paper can reduce the comprehensive loss of the ADN in multiple scenarios.