With the extensive integration of high penetration renewable energy sources and electric vehicles, frequency regulation service is required to eliminate the impact of uncertainty of load and distributed generation on system frequency. The community integrated energy station (CIES) is an effective way to participate in the service. To realize the optimal configuration of CIES, a method for the planning of CIES for participating in the auxiliary service of the distribution networks is presented. First, the model of frequency regulation and energy station planning is established. Then, the model is solved by the mixed integer linear programing (MILP). Case studies are conducted under different scenarios and results show that participating in the frequency regulation service can effectively reduce the annual total cost of CIES.
Keywords renewable energy resources, community integrated energy station (CIES), frequency regulation service, mix-integer linear programming (MILP)