Optimal Dispatching Method of Urban Comprehensive Energy System Based on Multi-energy Complementarity

Abstract

Considering the complexity of the multi-microgrid system and the diversity of internally distributed power sources, it is challenging for the centralized control scheduling mode to deal with new microgrid systems. Hierarchical management and distributed control strategy can adapt to the power grid management system. In this paper, considering the source-load uncertainty of multi-energy complementary power grid operation, the influence of the multi-energy output distribution model on the supply-demand balance of power grid regulation is constructed, and the probability balance model of power grid regulation capacity is built. To minimize the cost of cooperative operation between multi-energy microgrids and energy storage power stations and maximize the flexibility of regulation, the multi-objective particle swarm optimization (PSO) algorithm is used to constrain the deterministic equivalence of the regulation power probability balance constraint. The effectiveness of the proposed model in describing uncertain factors, reducing operating costs, and improving the regulation capacity of multi-energy microgrids and energy storage power stations is verified through an example analysis.