SCHEDULING STRATEGY OF DISTRIBUTION GRID WITH ELECTRIC VEHICLES AND PHOTOLATIC BASED ON EVOLUTIONARY DYNAMICS GAME
Aiming at the three-phase unbalance problem in the power grid that may be caused by the disorderly charging behavior of large-scale electric vehicles,a charging scheduling strategy for electric vehicles that considers three-phase load balance and photovoltaic consumption based on an evolutionary dynamic game model is proposed.First,based on the subjectivity of EV period for connecting to the grid and the uncertainty of PV output and load,the evolutionary dynamic game equation between nomad populations and sedentary populations is constructed.Then,considering the interests of both the user and the grid,a dispatching optimization model is designed to minimize the charging cost of electric vehicles,three-phase load imbalance and reactive power demand.Finally,by simulating and solving a distribution network example in a commercial area,the three-phase active power curve,the three-phase reactive power curve and the change trend of the state of charge curve are compared and analyzed.The results of the calculation example show that the dispatching strategy can effectively reduce the three-phase unbalance,meet the needs of reactive power compensation and improve the charging cost of users.
PV powerdistribution gridelectric vehiclepower controlelectric load managementreactive power compensationevolutionary dynamic game
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