文章摘要
师瑞峰,梁子航,马源.基于TOPSIS方法的居民区电动汽车有序充电策略[J].电力系统自动化,2018,42(21):104-110. DOI: 10.7500/AEPS20171230001.
SHI Ruifeng,LIANG Zihang,MA Yuan.TOPSIS Method Based Orderly Charging Strategy for Electric Vehicles in Residential Area[J].Automation of Electric Power Systems,2018,42(21):104-110. DOI: 10.7500/AEPS20171230001.
基于TOPSIS方法的居民区电动汽车有序充电策略
TOPSIS Method Based Orderly Charging Strategy for Electric Vehicles in Residential Area
DOI:10.7500/AEPS20171230001
关键词: 电动汽车  有序充电管理  居民区充电  理想解法
KeyWords: electric vehicles  orderly charging management  charging in residential area  technique for order preference by similarity to ideal solution(TOPSIS)
上网日期:2018-08-10
基金项目:国家自然科学基金资助项目(61203100);中央高校基本科研业务费专项资金资助项目(16MS42)
作者单位E-mail
师瑞峰 华北电力大学控制与计算机工程学院, 北京市 102206 shi.ruifeng@ncepu.edu.cn 
梁子航 华北电力大学控制与计算机工程学院, 北京市 102206  
马源 国网北京市电力公司昌平供电公司, 北京市 102200  
摘要:
      针对中国目前超大城市电动汽车保有量的快速增长与现有配电网制约用户充电需求的矛盾,提出了一种基于理想解法的居民区电动汽车有序充电策略,以最大限度调配现有可用的电能资源。通过分析电动汽车出行规律,建立了居民区电动汽车出行、返回、等待、充电的数学模型。在综合考虑充电时间、充电费用、等待时间、充电完成率、小区总负荷变化率等决策指标基础上,建立了基于理想解法的有序充电排序方法,并通过算例仿真进一步对比了分时电价策略下峰谷电价对用户充电行为的影响。仿真结果表明,与现有网格选取法有序充电结果相比,该方法可在保证电动汽车充电完成率和稳定居民区负荷前提下,更好地兼顾电动汽车充电的连续性、便捷性和经济性,为居民区停车场电动汽车有序充电管理提供决策依据。
Abstract:
      In view of the rapid growth of electric vehicle(EV)ownership in megacities in China and the contradiction between the EV charging demand and the lower distribution network service ability, an orderly EV charging strategy based on technique for order preference by similarity to ideal solution(TOPSIS)is proposed to dispatch the available power energy resources to the utmost extent. By analyzing EV travel laws, a mathematical model is built to simulate the traveling, returning, waiting and charging process of EVs in residential areas. An orderly charging method based on TOPSIS analysis is proposed considering comprehensively the decision indicators such as charging time, charging cost, queuing time, charging completion rate, and the overall load variation rate of residential areas. The simulations further compare the impact of peak-valley price on users' charging behavior under the time-of-use price strategy. Simulation results show that, compared with the grid picking method, the proposed TOPSIS based orderly charging strategy can better consider the continuity, convenience and economy of EV charging, and provide a decision basis for the orderly charging management of EVs parking in residential areas under the premise of the high completion rate of EV charging and the stability of residential load.
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