Dynamic Economic Dispatch For Multi-microgrid Interconnection System

With the deterioration of global environmental problems and energy crisis, the micro grid technology as a way to efficiently use the renewable energy is widely developed. The interconnected multi-microgrid system becomes a trend. dynamic economic dispatch of the interconnected multi-microgrid system has very important value on theory and engineering.In this paper, we study the operation principle of the common distributed energy in microgrid, and set up mathematical models of wind turbine generators, photovoltaic arrays, micro-turbines, diesel generators and batteries. This work lays a foundation for after study.To solve the problem of the active power balance between supply and demand under different conditions, an active power coordination control method for autonomous microgrid based on the multi-agent system (MAS) is presented. It builds a MAS which consists of distributed generation agents, load agent, and upper agent. Their functions are described in detail. When the outputs of renewable generators are insufficient, the economic dispatch model of the autonomous microgrid is established, and the PSO is adopted to solve the model. When the outputs of renewable generators are sufficient, the power supply and demand model of the autonomous microgrid is established, which includes the power utilizations, and the improved distributed subgradient algorithm is used to solve the convex optimization problem of the model. The effectiveness of the proposed control strategy is validated by the example system simulation.At last, an dynamic economic dispatch method of interconnected multi-microgrid is proposed. Based on the system operation cost and environmental benefits, it builds a dynamic economic optimization dispatch model. and the MCS-PSO is used to solve the model. With the analysis of the interconnection system optimization dispatching results, the effectiveness of the proposed strategy is validated by the example system simulation. And it discusses the selection of the confidence level for the influence of multi-microgrid dispatch results.