Decentralized Coordinated Dispatch of Multi-microgrid Integrated Energy System Considering Source-Load Uncertainty

Abstract

Abstract Multiple microgrids are connected to the regional electric power distribution system (EPS) and natural gas distribution system (NGS) to form a multi-microgrid integrated energy system (MMIES), where each stakeholder’s game behaviour and renewable energy uncertainty increase the complexity of dispatch decisions. In view of this, a decentralized coordinated dispatch model of MMIES considering source-load uncertainty is proposed in this paper. Firstly, based on fuzzy theory, the forecasts of wind/PV output and system load are described by fuzzy parameters, and consequently fuzzy chance constraints based on credibility theory are established. Secondly, for multi-stakeholders including EPS, NGS, and microgrid operator which consists of multiple microgrids, a decentralized dispatch model is established with the goal of maximizing each stakeholder’s interest considering network security constraints. Then, the fuzzy chance constraints are turned into their clear equivalent forms based on trapezoidal membership parameters, and the analytical target cascading algorithm is designed to decouple the coordination variables and solve the decentralized dispatch model collaboratively. Finally, an example of MMIES is carried out to verify the feasibility and effectiveness of the proposed method. Simulation results show that the method considers the source-load uncertainty and each stakeholder’s interest and realizes the reliable and economic optimal operation of MMIES.