裴开,黄桦,程含渺
PEI Kai,HUANG Hua,CHENG Hanmiao

• 1:南京工程学院电力工程学院
• 2:国网江苏省电力有限公司营销服务中心

摘要(Abstract)：

针对居住区电动汽车有序充电问题，提出一种基于二次规划的台区电动汽车有序充电动态控制策略。首先，分析居住区充电负荷现状；其次，基于居住区居民离开台区时间、返回台区时间等出行特性，采用蒙特卡洛法构建居住区电动汽车充电负荷模型；然后，以居住区配电变压器负荷波动最小为优化目标，计及用户的随机充电行为，构建基于二次规划的台区电动汽车有序充电控制模型，并通过内点法进行优化求解，得到有序充电策略下台区中每辆电动汽车的最优充电时段和充电功率；最后，通过仿真算例验证所提方法的有效性。相较于无序充电，该方法可使居住区配电变压器负荷方差和负荷峰谷差显著降低，优化效果显著。
This paper presents a quadratic programming( QP)-based dynamic control strategy for orderly charging of electric vehicles( EVs) in residential areas. Firstly, the existing charging load patterns in residential areas are analyzed. Secondly, based on the travel characteristics of residents, such as departure and return times, a Monte Carlo method is employed to construct a charging load model for EVs in residential areas. Then, to minimizee the load fluctuations in distribution transformers in residential areas while accounting for users' stochastic charging behavior, a QP-based orderly charging control model for EVs in distribution areas is formulated. The model is solved using the interior point method, yielding optimal charging periods and power levels for each EV. Finally, the effectiveness of the proposed method is verified through simulation case studies. Compared with disorderly charging, this method significantly reduces the load variance and peak-to-valley difference of distribution transformers in residential areas, demonstrating notable optimization effects.

关键词(KeyWords)： 电动汽车;有序充电;峰谷差;蒙特卡罗法;二次规划;动态控制
EV;orderly charging;peak-valley difference;Monte Carlo method;QP;dynamic control

Abstract:

Keywords:

基金项目(Foundation): 国家自然科学基金(U23B20122);; 智能电网保护和运行控制国家重点实验室开放基金(SGNR0000KJJS2302152)

作者(Author): 裴开,黄桦,程含渺
PEI Kai,HUANG Hua,CHENG Hanmiao

DOI: 10.19585/j.zjdl.202508005

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