| 引用本文: | 朱 晗,汪隆君,陈志峰,等.计及三相不平衡的电动汽车充电站参与调压辅助服务模型[J].电力系统保护与控制,2025,53(17):1-12.[点击复制] |
| ZHU Han,WANG Longjun,CHEN Zhifeng,et al.Voltage regulation ancillary service model for electric vehicle charging station considering three-phase unbalance[J].Power System Protection and Control,2025,53(17):1-12[点击复制] |
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| 摘要: |
| 电动汽车充电站无功支撑能力的挖掘利用可优化配电网运行，解决配电网负荷、线路参数、新能源出力三相不平衡带来的电压越限问题，同时为电网节约调压成本。因此，提出了一种计及三相不平衡的电动汽车充电站参与调压辅助服务模型。首先，在研究调压辅助服务市场化机制和电动汽车充电行为的基础上，分别预测慢充充电站和快充充电站的日负荷曲线，进而评估两种充电站的无功支撑能力。其次，建立了配电网多时间尺度日前-日内优化调度框架，日前优化模型以配电网调压成本最低为目标，以确定日内有载调压档位和电容器组计划。日内以网损和充电站补偿费用最小为目标进行滚动优化，以修正充电站参与调压辅助服务的无功功率。最后，通过IEEE33节点系统进行仿真验证。结果表明，所提模型能够有效降低配电网三相电压不平衡与调压成本。 |
| 关键词: 充电站 调压辅助服务 三相不平衡 拉丁超立方抽样 滚动优化 日前-日内优化 |
| DOI：10.19783/j.cnki.pspc.241531 |
| 投稿时间：2024-11-16修订日期：2025-03-18 |
| 基金项目:国家自然科学基金项目资助(51307063)；广东省基础与应用基础研究基金项目资助(2023A1515011035) |
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| Voltage regulation ancillary service model for electric vehicle charging station considering three-phase unbalance |
| ZHU Han1,WANG Longjun1,CHEN Zhifeng2,WANG Gang1 |
| (1. School of Electric Power, South China University of Technology, Guangzhou 510641, China; 2. School of Electric
Engineering, Guangzhou City University of Technology, Guangzhou 510800, China) |
| Abstract: |
| Exploring and utilizing the reactive power support capabilities of electric vehicle charging stations can optimize distribution network operation and help mitigate voltage limit violations caused by three-phase unbalances in load, line parameters, and new energy output. Additionally, it can reduce voltage regulation costs for the grid. Hence, this paper proposes a voltage regulation ancillary service model for electric vehicle charging stations while considering three-phase unbalance. First, based on an analysis of the market mechanism for voltage regulation ancillary services and the charging behavior of electric vehicles, the daily load curves of slow and fast charging stations are predicted separately, and their respective reactive power support capabilities are evaluated. Second, a multi-time-scale day-ahead and intra-day optimization framework for distribution networks is established. The day-ahead optimization model aims to minimize the voltage regulation costs of the distribution network, determining the on-load tap changer positions and the scheduling of capacitor banks. The intra-day rolling optimization focuses on minimizing network losses and compensation costs of charging stations by adjusting their reactive power participation in voltage regulation ancillary services. Finally, simulations on the IEEE33-bus system are conducted and the results show that the proposed model can effectively reduce both three-phase voltage unbalance and voltage regulation costs in the distribution network |
| Key words: charging station voltage regulation ancillary service three-phase unbalance Latin hypercube sampling rolling optimization day-ahead and intra-day optimization |
