计及灵敏度的改进自适应粒子群算法在电动汽车充电降低馈线网损中的研究
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摘要
针对电动汽车充电给馈电线路带来一系列的问题,提出了一种馈电线路下电动汽车充电调度降低网损的方法。该方法通过网损灵敏度选择合理的充电节点,然后再通过智能群优化算法对电动汽车的充电行为进行优化调度。优化算法采用一种改进的自适应粒子群算法,算法自适应的将临近变异运用于粒子群优化中。最后,对一个实际的24节点馈电线路的算例进行了仿真计算,结果表明该充电安排在降损节能、提高电能质量上有较好的作用。
A series of questions being put out in electric vehicles(EVs) charging, a method of EV charging scheduling is proposed to reduce the line losses in a feeder line. First, the power losses sensitivity is planed to select the reasonable nodes of charging. Then the EVs charging behavior optimization algorithm is presented by using particle swarm optimization(PSO). This is an improved adaptive PSO algorithm in which closest point search and the crossover and mutation are applied. Finally, an actual feeder lines of 24 nodes are simulated, and the result shows that the algorithm can lower power losses and improve the power quality.
A series of questions being put out in electric vehicles(EVs) charging, a method of EV charging scheduling is proposed to reduce the line losses in a feeder line. First, the power losses sensitivity is planed to select the reasonable nodes of charging. Then the EVs charging behavior optimization algorithm is presented by using particle swarm optimization(PSO). This is an improved adaptive PSO algorithm in which closest point search and the crossover and mutation are applied. Finally, an actual feeder lines of 24 nodes are simulated, and the result shows that the algorithm can lower power losses and improve the power quality.
引文
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[3]陈丽丹,张尧.电动汽车随机充电对配电网影响的研究[J].电力科学与技术学报,2016,31(1):62-69.
[4]刘洪,张旭,刘畅,等.考虑充电设施充裕性的电动私家车出行与充电需求时序交互分析[J].2018,38(18):5469-5478.
[5]谢东亮,张宇琼,吴巨爱,等.容量受限下电动汽车充电策略优化及应急备用能力分析[J].电力系统自动化,2018,42(11):56-63.
[6]程杉,王贤宁,冯毅煁.电动汽车充电站有序充电调度的分散式优化[J].电力系统自动化,2018,42(1):39-46.
[7]JULIAN DE HOOG,TANSU ALPCAN,MARCUS BRAZIL,et al.Optimal charging of electric vehicles taking distribution network constraints into account[J].IEEE Transactions on Power Systems,2015,30(1):365-375.
[8]苗世洪,徐浩,钱甜甜,等.扩展时间尺度下的电动汽车有序充电策略[J].中国电机工程学报,2015,35(23):5959-5967.
[9]MOHAMMAD-ALI ROSTAMI,ABDOLLAH KAVOUSI-FARD,TAHER NIKNAM.Expected cost minimization of smart grids with plug-in hybrid electric vehicles using optimal distribution feeder reconfiguration[J].IEEE Transactions on Industrial Informatics,2015,11(2):388-397.
[10]陈静鹏,朴龙健,艾芊.基于改进贪心算法的大规模电动汽车充电行为优化[J].电力自动化设备,2016,36(10):38-44.
[11]王姝凝,杨少兵.居民小区电动汽车充电负荷有序控制策略[J].电力系统自动化,2016,40(4):71-77.
[12]张剑,姚潇毅,尹柏强,等.采用迭代求解的电动汽车优化充电算法[J].控制理论与应用,2018,35(7):1009-1020.
[13]曹生让,丁晓群,王庆燕,等.基于反向云自适应粒子群算法的多目标无功优化[J].中国电力,2018,57(7):21-27.
[14]朱鹰屏,韩新莹,刘世立,等.基于改进双中心粒子群算法的电动公交车运营数量优化策略研究[J].电力系统保护与控制,2017,45(8):126-131.
[15]姜勇,周双喜,朱凌志.基于系统网损灵敏度的二阶指标研究[J].电力系统自动化,2000(10):16-18.