电器与能效管理技术 ›› 2022, Vol. 0 ›› Issue (9): 58-65.doi: 10.16628/j.cnki.2095-8188.2022.09.009

• 策略研究与分析 • 上一篇    下一篇

分时电价背景下光伏出力园区电动汽车的有序充电策略

黄柏强1, 陈建基1, 李盛佳1, 李长昕2   

  1. 1.广州市番禺中心医院, 广东 广州 510000
    2.华南理工大学 广东省能源高效清洁利用重点实验室, 广东 广州 510000
  • 收稿日期:2022-07-08 出版日期:2022-09-30 发布日期:2022-10-20
  • 作者简介:黄柏强(1968—),男,副主任医师,主要从事医院、信息网络及安全生产管理工作。|陈建基(1969—),男,主要从事医院水电、机电、能源管理工作。|李盛佳(1985—),男,工程师,主要从事医院水电、机电、能源管理工作。

Orderly Charging Strategy of Electric Vehicle in PV Output Park Under Time-of-Use Price

HUANG Baiqiang1, CHEN Jianji1, LI Shengjia1, LI Changxin2   

  1. 1. Guangzhou Panyu Central Hospital, Guangzhou 510000, China
    2. Guangdong Provincial Key Laboratory of Energy Efficient and Clean Utilization,South China University of Technology, Guangzhou 510000, China
  • Received:2022-07-08 Online:2022-09-30 Published:2022-10-20

摘要:

以配电网负荷方差和用户充电费用最小为目标函数,提出一种分时电价背景下光伏出力园区电动汽车的有序充电策略。以多目标优化遗传算法对某一特定园区内电动汽车充电行为进行仿真分析,验证了所提策略在满足用户充电需求的条件下,能够合理规划峰谷充电时段以节约充电成本、降低峰谷差率以及负荷波动,有利于配电网的稳定经济运行。

关键词: 电动汽车, 有序充电, 分时电价, 多目标优化, 蒙特卡洛

Abstract:

Based on the load distribution network,the objective function is minimum variance and the user of charging,an ordely charging strategy for electric vehicles in photovoltaic output parks under the background of time-sharing price.The multi-objective optimization genetic algorithm is used to simulate and analyze the charging behavior of electric vehicles in the special park.It is verified that under the proposed strategy meeting the demand of user charge conditions,the reasonable planning of peak-valley charging time can save charging cost,reduce peak-valley difference rate and load fluctuation,which is beneficial to the stable and economic operation of distribution network.

Key words: electric vehicle, orderly charge, time-of-use price, multi-objective optimization, monte carlo

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