Optimal EV aggregator scheduling for three-phase voltage unbalance mitigation

LI Yuyang; LIN Shunfu; SHEN Yunwei; WANG Wei; QIAN Liang; LI Dongdong

doi:10.19783/j.cnki.pspc.251385

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Optimal EV aggregator scheduling for three-phase voltage unbalance mitigation

更新时间：2026-07-27

- Optimal EV aggregator scheduling for three-phase voltage unbalance mitigation
- Power System Protection and Control Vol. 54, Issue 12, (2026)
- 作者机构：
  
  上海电力大学电气工程学部,上海,200090
- 作者简介：
- 基金信息：
- DOI：10.19783/j.cnki.pspc.251385
  CLC：
- Published：2026
- 稿件说明：
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LI Yuyang, LIN Shunfu, SHEN Yunwei, et al. Optimal EV aggregator scheduling for three-phase voltage unbalance mitigation[J]. Power System Protection and Control, 2026, 54(12).
DOI：

LI Yuyang, LIN Shunfu, SHEN Yunwei, et al. Optimal EV aggregator scheduling for three-phase voltage unbalance mitigation[J]. Power System Protection and Control, 2026, 54(12). DOI： 10.19783/j.cnki.pspc.251385.

摘要

针对电动汽车通过单相充电桩大规模接入低压配电网引发的三相负荷不均、电压偏移及线路过载等运行风险，以及传统调度方法难以刻画用户偏好的问题，提出一种面向电动汽车聚合商参与的三相不平衡治理与调峰协同优化方法。首先，构建 “用户模糊偏好 - 可量化满意度 - 多目标调度决策” 的闭环框架。利用语言术语集与直觉模糊数对用户接受充电功率调整、相位选择与响应意愿等方面进行刻画，实现语义信息向可计算满意度指标的转化。然后，考虑充电功率调节、换相开关控制及引导用户等多种调节手段，建立用户满意度与聚合商收益的多目标优化调度模型。最后，算例表明所提方法能够有效提升用户参与满意度和聚合商调度灵活性的同时显著降低单相充电集中接入所导致的三相不平衡程度，为电动汽车聚合商调度提供了可行的技术路径。

Abstract

The large-scale integration of electric vehicles (EVs) into low-voltage distribution networks through single-phase chargers can lead to operational risks

such as three-phase load imbalance

voltage deviation

and line overloading. Meanwhile

traditional scheduling methods often fail to effectively capture user preferences. To address these issues

a coordinated optimization method for three-phase unbalance mitigation and peak shaving involving EV aggregators is proposed. First

a closed-loop framework of "user fuzzy preference-quantifiable satisfaction-multi-objective scheduling decision-making" is constructed. Linguistic term sets and intuitionistic fuzzy numbers are used to characterize users' acceptance of charging power adjustments

phase selection

and response willingness

thereby enabling the transformation of semantic information into computable satisfaction indicators. Considering multiple regulation means

such as charging power regulation

phase-switching control

and user guidance

a multi-objective optimal scheduling model is established to balance user satisfaction and aggregator profits. Finally

case studies show that the proposed method effectively improves user participation satisfaction and enhances the scheduling flexibility of EV aggregators. In addition

it significantly reduces the degree of three-phase unbalance caused by the concentrated integration of single-phase charging loads

providing a feasible technical approach for EV aggregator scheduling.

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Keywords

references

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WANG Zhaoyu, CHEN Bokan, WANG Jianhui, et al. Coordinated energy management of networked microgrids in distribution systems[J]. IEEE Transactions on Smart Grid, 2015, 6(1): 45-53.

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