A Two-Stage Energy Management Strategy for Household Microgrids Considering the Influence of Electric Vehicle Travel Characteristics and Daylight Hours

In order to make full use of the time-of-use electricity price to solve the energy management problem of household microgrid, we propose a two-stage energy management strategy considering the impact of electric vehicles' spatial and temporal uncertainty, and different sunshine time on household PV. Particle swarm algorithm is used to optimize the output of household PV, the charging/discharging strategies of electric vehicles and energy storage systems, and the energy interaction between the microgrid and the main network, so as to guide the household microgrid to achieve the optimal economic operation and to reduce the peaks and fill the valleys of the main network to realize the efficient allocation of power resources. Finally, the validity of the model is verified by taking three typical scenarios of optimal operation as examples