Multi-objective Optimal Dispatch of Microgrid Combined Cooling, heating, Power and Gas

As the epitome of the energy internet, the microgrid can realize the complementary and alternative energy consumption of multiple energy sources. Therefore, the composition and scheduling of the microgrid are complicated. In this paper, the multi-energy microgrid combined cooling, heating, power and gas is analyzed to reflect the actual operation of the system. Power to gas (PtG) and ice-storage air-conditioning (ISAC), which could improve the operating performance of the system, are added to the multi-energy system as well. Then, in order to balance the operating costs, carbon emissions costs and primary energy costs, a multi-objective optimal dispatch model is presented. Furthermore, a maximum fuzzy satisfaction method is adopted to transform multi-objective scheduling problem into single-objective scheduling problem. The accuracy of dispatch model and the effectiveness of the method are verified by the simulation of an actual microgrid example in MATLAB.