基于时序特性的城市电动汽车电源性能优化研究  

Research on Power Supply Performance Optimization of Urban Electric Vehicle Based on Time Series Characteristics

作　　者：高泽明 陈大军 程伦 杨磊 GAO Ze-ming;CHEN Da-jun;CHENG Lun;YANG Lei(State Grid Hebei Electric Power Supply Co.,Ltd.,Shijiazhuang 050021;Beijing Kingstar High-Tech System Control Co.,Ltd.,Beijing 102208)

机构地区：[1]国网河北省电力有限公司,石家庄050021 [2]北京清大高科系统控制有限公司,北京102208

出　　处：《环境技术》2019年第5期149-153,共5页Environmental Technology

摘　　要：针对当前汽车电源特性容易出现乱序问题,导致汽车电源总发电成本高和损耗高的问题,提出基于时序特性的城市电动汽车电源性能优化方法。构建包含储能装置、电源和可以入网的城市电动汽车的配电网电源优化模型;基于此对目标函数和约束条件展开计算,可以获得投资成本、运行维护成本、供电可靠性成本和环境成本;利用双种群协同进化遗传算法对模型进行求解,最终完成城市电动汽车电源性能的优化研究。实验结果表明,所提方法下汽车电源总发电成本较低,并且电源的系统损耗也较低。Aiming at the problem that the current automobile power supply is prone to out-of-order,which leads to the high total power generation cost and high loss of the automobile power supply,this paper proposes an optimization method for the performance of urban electric vehicle power supply based on the sequence characteristics.The optimal model of power distribution network including energy storage devices,power supply and urban electric vehicles that can be connected to the network is constructed.Based on the objective function and constraint conditions,the investment cost,operation and maintenance cost,power supply reliability cost and environmental cost can be obtained.The twopopulation coevolutionary genetic algorithm was used to solve the model and finally to optimize the power performance of urban electric vehicles.The experimental results show that the total power generation cost is lower and the system loss is lower.

关 键 词：时序特性 城市电动汽车 电源性能优化 

分 类 号：P237[天文地球—摄影测量与遥感]