【摘要】 电动汽车和以风电、光电为代表的新能源的引入改善了电力系统对环境的影响,然而电动汽车入网的随机性和新能源出力的不确定性给系统运行和调度带来了新问题。针对此背景,建立了考虑用户满意度的电动汽车与新能源联合调度的双层多目标优化模型,用户的满意度指标、排污量作为上层决策,火电机组的发电成本、电动汽车和新能源出力的波动作为下层决策,用改进的NSGA2算法对上下层问题同时求解,得到Pareto非劣解集,用基于粗糙集的不确定决策确定最优折中解。将上述模型应用到实际算例,结果不仅验证了所提出模型的合理性,而且对电力系统在新环境下的调度决策提供了参考。更多还原

【Abstract】 Electric vehicles and the introduction of new energy sources,which are represented by wind power and optoelectronics,which improve the impact of the power system on the environment. However,the randomness of the electric vehicle network and the output uncertainty of new energy bring new problems to the system operation and scheduling. According to this background,a bi-level multi-objective optimization model for the joint scheduling of electric vehicles and new energy sources is set up,which takes the customer satisfaction index,and pollution discharge as the upper level decision,the power generation cost of thermal power unit,the fluctuation of the electric vehicle and the new energy output as the lower decision-making. The improved NSGA2 algorithm is used to solve the problem of the upper and lower layers,and the Pareto non-dominated solution set is obtained,determining the optimal compromise solution for uncertain decision making based on rough sets. The above mentioned model is applied to a practical example,the results not only verify the rationality of the proposed model,but also provide a reference for the power system in the new environment.更多还原