电动汽车参与受阻风电消纳的源荷优化控制方法

大规模的电动汽车负荷可增加电网系统的调峰能力,消纳受阻风电。文章首先根据系统负荷和风电出力特性分析其受阻原因;其次,通过对电动汽车充放电特性、可时移特性和SOC模型的分析,建立了电动汽车充放电模型,并提出相应策略;然后,以电动汽车消纳后的风电剩余受阻量最小为目标,建立电动汽车参与受阻风电消纳的源荷优化控制模型,并利用差分进化算法对模型进行求解;最后,以某地区电网实际数据进行仿真计算,验证电动汽车参与受阻风电消纳协调控制的可行性与有效性。

Source-load optimization control method for electric vehicles participating in blocked wind power consumption

With the large-scale wind power connected to the power grid,the anti-peaking characteristics of the wind power output make the power supply of the power grid nighttime abundant.Because of the lack of load to absorb this part of the power,the power supply side can only abandon the wind to maintain the power balance of the power source of the power grid.How to eliminate obstructed wind power has become an urgent problem to be solved.Incorporating the large-scale electric vehicle load with adjustable and time-shifting characteristics into the system peak shaving control can increase the peak shaving capability of the system,and is an effective measure to eliminate the obstructed wind.Firstly,the paper analyzes the causes of wind power obstruction according to the system load and wind power output characteristics.Secondly,by analyzing the charge and discharge characteristics,time shift characteristics and SOC model of electric vehicles,the electric vehicle charging and discharging period is divided and the model is established.Then,the electric vehicle is used.The minimum residual wind power after the consumption is the target.The source-source optimization control model of electric vehicle participation in wind power consumption is established,and the differential evolution algorithm is used to solve the model.Finally,the actual data of a certain regional power grid is used for simulation calculation to verify the electric feasibility and effectiveness of automobile participation in coordinated control of wind power consumption.