Many-Objective Evolutionary Optimization Based Economic Dispatch of Integrated Energy System with Multi-microgrid and CHP

Integrated energy system (IES) containing a variety of heterogeneous energy supplies has been widely focused on energy conversion and power dispatching for effective utilization on energy. However, existing studies are most directed to single micro-grid based IES without considering energy exchange among several micro-grids and the corresponding high-dimensional dispatching models. Motivated by these, we here consider an IES with many micro-grids supplies for combinations of cooling, heating and power (CCHP). The structure of such a system is first presented, and then the corresponding model of many-objective based power dispatching is given in detail. In our model, the operational economy and the environment pollution of each micro-grid are taken as optimized objectives. Then, NSGA-III, a powerful evolutionary algorithm for many-objective optimization is used to solve the dispatching model. The effectiveness of the proposed algorithm is experimentally demonstrated by applying it to a practical problem.