Study on Rolling Optimal Scheduling Method for Optimal Tidal Current in Distribution Network Considering Electric Vehicle V2G Mode

The gradual increase of electric vehicle (EV) users brings many challenges to the distribution network for scheduling EVs and the siting of how EV loads are connected to the distribution network. In order to cope with the above challenges, firstly, the uncertainty of EVs is modelled and the daily load profile of EVs in disordered mode is simulated by Monte Carlo method. Then a rolling optimal scheduling strategy for orderly EV charging and discharging is adopted to guide users to charge and discharge in an orderly manner through time-sharing tariffs, with the objective of minimizing the integrated peak-to-valley difference rate and charging cost, in order to take into account the user's willingness and the impact on the peak and valley elimination and filling of the distribution network. Finally, the optimal siting node for orderly charging and discharging loads is analyzed by taking the IEEE 33-node distribution network as a research scenario with minimum load fluctuation in the network.