Electric vehicle-temperature control load-energy storage joint frequency modulation strategy

the proportion of flexible loads electric vehicles (EVs), temperature control loads (TCLs) and energy storage system (ESS) in microgrid has increased year by year. These resources aggregate to form a polymer with large regulation capacity, fast response speed and good regulation characteristics, which can respond well to the frequency change of microgrid. Therefore, this paper proposes the joint frequency modulation (FM) strategy of EV, TCL and ESS of isolated island microgrid. Firstly, this paper establishes the state matrix of EVs and TCLs participating in the FM of isolated island microgrid. According to the state matrix, the active output model of EVs and TCLs and the primary frequency modulation (PFM) response model of ESS are established; Then, considering the advantages of ESS in FM speed, which can be used to provide virtual inertial response, considering the expectations of EV users for power and TCL users for temperature, the FM response priority of EVs and TCKs is divided, and the joint frequency modulation strategy of EV, TCL and ESS is proposed; Secondly, aiming at minimizing the frequency deviation, reinforcement learning agent is used to optimize the response active power; Finally, the effectiveness of the proposed strategy under various working conditions is verified on the MATLAB / Simulink platform.