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Multi-objective scheduling of electric car charging jobs based on fuzzy goal programming

机译:基于模糊目标规划的电动汽车充电作业多目标调度

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Rapid development of electric cars has raised a problem of charging batteries of them. As for the owner of the charging machines, how to make the charging jobs' schedule more efficient and more profitable is worthy of concern. Both cost related goals and operation related goals are expected to be satisfied simultaneously. This paper considered a single-machine charging job scheduling problem and proposed a fuzzy goal programming method to get an optimized cost and operational result by considering the different charging cost brought by Time-of-use price mechanism and the characteristic of batteries, which affects the charging process time, charging efficiency and charging unit power consumption. In the proposed method, a fuzzy relation model is developed to deal with the multi-objective situation to satisfy various goals, by considering the importance relation between goals. The intention of the decision maker is satisfied well. The decision maker can control the parameter to balance the emphasis on goals or on relations according to variety of manage policy. A numerical example is given to illustrate the effectiveness of the proposed method.
机译:电动汽车的快速发展提出了对它们的电池充电的问题。对于充电机的所有者而言,如何使充电作业的日程安排更有效率和利润更高是值得关注的问题。成本相关的目标和运营相关的目标都有望同时实现。本文考虑了单机充电作业调度问题,并提出了一种模糊目标规划方法,通过考虑分时电价机制带来的不同充电成本以及电池的特性来获得最优的成本和运营结果。充电过程时间,充电效率和充电单元功耗。在该方法中,通过考虑目标之间的重要性关系,建立了模糊关系模型来处理满足多个目标的多目标情况。决策者的意图得到了很好的满足。决策者可以控制参数,以根据各种管理策略平衡对目标或关系的强调。数值例子说明了该方法的有效性。

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