Optimal Allocation of Distributed Energy Resources in Energy Microgrids

Abstract

With the development of energy internet, the hybrid energy systems are attracting increased attention. Optimum distributed energy sources placement is crucial to the operation of an energy internet since it determines how much power can generate for cold, heat and power demands. Cold and heat load models, PV model, cloudy day model, natural gas combined cold, heat and power system model are established to study the influences of solar radiations and temperature of outdoors. The running characteristics of the natural gas combined cold, heat and power system are studied by reference to C65. Three criteria are proposed to measure the technology and economic benefits of an energy grid comprising PV and natural gas combined cold, heat and power system. The PSO-Catastrophe hybrid algorithm is presented to find the optimal solution, including the optimum areas of PV and number of C65. There are four seasons in simulation: spring, summer, autumn and winter. The simulation results prove the effectiveness of the proposed method, and the influences of solar radiations on output in energy system are described in the end.