文章摘要
王毅,王飞宏,侯兴哲,等.住宅区电动汽车充电负荷随机接入控制策略[J].电力系统自动化,2018,42(20):53-58. DOI: 10.7500/AEPS20180409007.
WANG Yi,WANG Feihong,HOU Xingzhe, et al.Random Access Control Strategy of Charging for Household Electric Vehicle in Residential Area[J].Automation of Electric Power Systems,2018,42(20):53-58. DOI: 10.7500/AEPS20180409007.
住宅区电动汽车充电负荷随机接入控制策略
Random Access Control Strategy of Charging for Household Electric Vehicle in Residential Area
DOI:10.7500/AEPS20180409007
关键词: 电动汽车  有序充电  削峰填谷  随机控制策略
KeyWords: electric vehicle  ordered charging  peak load shifting  random control strategy
上网日期:2018-09-04
基金项目:中国博士后科学基金资助项目(2015T80961);重庆市自然科学基金资助项目(cstc2016jcyjA0214);国家科技支撑计划资助项目(2015BAG10B00)
作者单位E-mail
王毅 重庆邮电大学通信与信息工程学院, 重庆市 400067
国网重庆市电力公司电力科学研究院, 重庆市 401123
国网重庆市电力公司博士后科研工作站, 重庆市 401123 
wangyi81@cqupt.edu.cn 
王飞宏 重庆邮电大学通信与信息工程学院, 重庆市 400067  
侯兴哲 国网重庆市电力公司电力科学研究院, 重庆市 401123  
孙洪亮 国网重庆市电力公司电力科学研究院, 重庆市 401123  
朱彬 国网重庆市电力公司电力科学研究院, 重庆市 401123  
刘国平 国网重庆市电力公司电力科学研究院, 重庆市 401123  
摘要:
      提出一种电动汽车充电起始时间随机选取方法。由控制决策生成器获取当前控制区域电价与负载信息,并根据负载曲线,对负荷曲线中谷时段进行分段处理,计算电网在各时段的负荷容纳能力。各充电桩根据负荷容纳能力计算不同充电时长的用户对应的充电起始时刻概率分布,并依据概率分布随机决定接入用户充电起始时间。该方法将谷时段电网负荷容纳能力量化为充电概率分布,按各时段负荷容纳能力随机生成充电任务,达到均衡利用谷时段电力资源的目的。概率分布计算完成后,由充电桩独立决策充电任务,无需复杂的集中式通信控制。蒙特卡洛方法对策略实例进行的仿真结果表明,所提方法削峰填谷、平抑负荷波动的效果显著,同时能有效降低系统和用户成本。
Abstract:
      A random selection method of starting time for electric vehicle is proposed. The control decision generator obtains electricity price and load information of current control area, divides valley period into several parts, and calculates the load capacity in each period considering the load curve. Charging pile calculates the probability distribution of the start charging moment corresponding to its user with different charging durations, and randomly determines the start charging moment based on generated probability distribution. In order to balance the utilization of valley power resources, the proposed method quantifies the load capacity of the grid as probability distribution during the valley period, and randomly generates the charging task according to the load capacity of each period. The charging task can be independently decided by the charging pile without complicated centralized communication control. The Monte Carlo simulation results show that the proposed strategy can effectively realize peak load shifting and stabilize the load fluctuation, and the system and user costs can also be reduced.
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