The charging behavior of electric vehicles(EV)is random,and the disorderly charging of large-scale EV connected to the power grid seriously affects the stability and security of the power system.The EV charging and dis-charging behavior model was established,and its scheduling potential was analyzed.Taking EV charging and dischar-ging power as the decision variable and charging and discharging electricity price as the incentive parameter,we estab-lished an optimal dispatching model aiming at the highest economy of regional power grid,the best effect of new energy consumption and the smoothest demand-side power curve.The scheduling model was solved by NSGA-Ⅱ algorithm,and the Pareto solution set was obtained.Finally,the optimal scheduling scheme was determined based on AHP meth-od to realize peak load cutting and valley filling and new energy consumption,and reduced the negative impact of large-scale EV access to the power system.The Monte Carlo method was used to simulate the charging demand on the user side.The simulation results show that the method can improve the economy of the regional power grid,enhance the new energy consumption capacity,stabilize the load,and help to improve the security and stability of the regional power grid.
关键词
车网互动/新能源消纳/削峰填谷/NSGA-Ⅱ/AHP
Key words
vehicle network interaction/new energy consumption/peak cutting and valley filling/NSGA-Ⅱ/AHP
维普
万方数据