含电动汽车的微网的智能优化调度

摘要

首先通过分析车辆一天的出行特性,拟合电动汽车日常驾驶距离与开始充电时间的概率分布,采用基于蒙特卡罗模拟的方法来计算电动汽车的充电负荷.然后综合考虑微网的经济效益和环境效益,建立微网的优化调度的数学模型,并提出了一种改进的粒子群算法对该数学模型进行求解.最后以某地区某日负荷为算例,对不同方案下的运行状态进行经济性分析,并在Matlab环境下编程实现该算例,验证了所提方法的可行性和合理性.%First,through analysis of the travel characteristics of electric vehicles in a day,this paper manages to fit the probability distribution of the daily driving distance and the charging start time and then uses the Monte Carlo method to compute the charging load.Second,a mathematical model of optimal dispatch for the micro-grid is established with consideration of both economic and environmental benefits of the micro-grid and an improved particle swarm algorithm is proposed to solve the mathematical model.Finally,with a daily load of a certain area selected as as an example,the paper analyzes the economy of the operation mode under different programs,and develops the example in Matlab environment,and the feasibility and rationality of the method is verified.