计及电动汽车负荷特性的虚拟电厂优化调度

Optimal dispatch of virtual power plant considering electric vehicle load characteristics

中文关键词: 电动汽车  负荷特性  虚拟电厂  优化调度  NSGA-II算法

英文关键词: electric vehicle  load characteristics  virtual power plant  optimal dispatch  improved NSGA-II

中文摘要:

      基于分析电动汽车接入虚拟电厂后对虚拟电厂调度产生的影响，首先，通过运用三峰高斯分布函数拟合电动汽车充电起始时间、对数正态分布拟合电动汽车行驶里程，分析电动汽车的时空分布特性，并基于有限制的充放电功率制定了有序充放电策略。其次，以EVPP综合收益最大化与申报偏差率最小化构建了EVPP调度优化模型，并运用引入了狮群选择法的改进NSGA-II算法搜寻最优解。最后，以包含燃气轮机、风电机组、光伏机组、电动汽车的EVPP进行算例分析。算例分析结果表明：一方面改进NSGA-II算法比传统NSGA-II算法相比求解效率高，优化效果更佳；另一方面实行功率控制的充放电策略不仅能够减少峰谷差，还能实现电动汽车峰谷时段平稳的变化。

英文摘要:

      In order to analyze the impact of electric vehicleaccess to virtual power plant on virtual power plant scheduling, the space-time distribution characteristics of electric vehicle are analyzed by fitting the starting time of electric vehicle charging with three peak Gaussian distribution function and the mileage of electric vehicle with lognormal distribution. Then based on the limitedcharge and discharge power, an orderly charge and discharge strategy is formulated. Secondly, the EVPP scheduling optimization model is constructed by maximizing the EVPP comprehensive in-come and minimizing the deviation rate of the declaration, and using the improved NSGA-II algorithm that introduces the lion selection method to search for the optimal solution. Finally, an example of EVPP including gas turbine, wind turbine, photovoltaic unit,and electric vehicle is analyzed. The analysis results of the calculation examples show that on the one hand, the improved NSGA-II algorithm has higher solution efficiency and better optimization effect than the traditional NSGA-II algorithm. On the other hand, the power control charging and discharging strategy can not only reduce the peak-valley difference, but also realize electric the car’speak and valley time changes smoothly.