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Optimal charging and discharging dispatching strategy for electric vehicle based on customer's benefit

机译:基于客户利益的电动汽车充放电调度优化策略

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Aiming at minimizing the customer's charging costs, a charging and discharging dispatching strategy for electric vehicle (EV) is proposed based on the customer's benefit, while the charging and discharging price, battery characteristics and charging requirements are taken into account. Customer decides whether to respond to the charging and discharging plans or not freely, which are determined by dynamic programming algorithm, hence the proposed dispatching strategy for EVs can be realized. Taking the 38-bus system as an example, firstly, the charging performance of customer is obtained by Monte Carlo simulation. Then the owner's costs and the impacts on the distribution system under uncoordinated and coordinated control modes are compared. At the end of this paper, based on the different probabilities of customers' response to the dispatching strategy, the owner's costs and the load fluctuation rate of the distribution system have been simulated and discussed. Simulation results indicate that, through the previously mentioned dispatching strategy, reducing the customer's costs can be achieved as well as peak load shaving and valley load filling on the basis of customer's satisfaction in charging demand. Another conclusion is, the more often the customers respond to the proposed strategy, the better it is for the win-win relationship keeping between the customers and the distribution system.
机译:为了最小化客户的充电成本,基于客户的利益提出了电动汽车的充放电调度策略,同时考虑了充放电价格,电池特性和充电要求。客户可以根据动态规划算法决定是否自由响应充放电计划,从而可以实现所提出的电动汽车调度策略。以38客车系统为例,首先通过蒙特卡洛仿真获得用户的充电性能。然后比较了在非协调和协调控制模式下的所有者成本和对配送系统的影响。最后,根据客户响应调度策略的概率不同,对配电系统的所有者成本和负荷波动率进行了模拟和讨论。仿真结果表明,通过前面提到的调度策略,可以在满足客户对充电需求的满意度的基础上,降低客户的成本,并实现峰值负荷削减和谷值负荷填充。另一个结论是,客户对拟议策略的反应越频繁,则客户与分销系统之间保持双赢关系就越好。

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