| 引用本文: | 陈佳琦,胡俊杰,马文帅.计及变压器寿命的电动汽车分布式控制策略[J].电力自动化设备,2025,45(4):92-100 |
| CHEN Jiaqi,HU Junjie,MA Wenshuai.Distributed control strategy of electric vehicles considering transformer life[J].Electric Power Automation Equipment,2025,45(4):92-100 |
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| 摘要: |
| 随着大规模电动汽车接入配电网，无序充电在台区层面易导致变压器过载问题。对此，提出一种考虑变压器寿命的电动汽车分布式控制策略。通过温升模型对变压器进行精细化建模，量化电动汽车充放电对变压器寿命损耗的影响，进一步结合分时电价制定各辆电动汽车的充电策略；考虑变压器安全运行需求，构建基于分布式模型预测控制的电动汽车实时调度模型，当台区智能融合终端感知到过载风险时，基于快速对偶近端梯度法进行求解，对电动汽车充放电功率进行实时调整，实现台区-终端用户的分布式优化调控；算例仿真结果验证了所提分布式算法具有良好的收敛性，所提策略能够降低电动汽车充放电和变压器寿命损耗成本，有效保护电动汽车用户的信息隐私。 |
| 关键词: 电动汽车 变压器寿命 智能融合终端 分布式模型预测控制 快速对偶近端梯度法 |
| DOI：10.16081/j.epae.202412001 |
| 分类号:U469.72 |
| 基金项目:国家自然科学基金资助项目(52177080) |
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| Distributed control strategy of electric vehicles considering transformer life |
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CHEN Jiaqi, HU Junjie, MA Wenshuai
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State Key Laboratory of Alternate Electrical Power System with Renewable Energy Sources, North China Electric Power University, Beijing 102206, China
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| Abstract: |
| With the integration of large-scale electric vehicles(EVs) into the distribution network, disordered charging at the substation level can easily lead to transformer overload issues. In response, a distributed control strategy of EVs considering transformer life is proposed. Based on the temperature rise model, the transformer is finely modeled to quantify the impact of EV charging and discharging on transformer life loss. Furthermore, combined with the time-of-use electricity price, the charging strategy of each EV is formulated. Considering the safety operation requirements of transformer, a real-time scheduling model of EVs based on distributed model predictive control is constructed. When the intelligent fusion terminal at the substation perceives the overload risk, the solution is sought based on the fast dual proximal gradient method, and the charging and discharging power of EVs is adjusted in real-time to realize the distributed optimal regulation of the substation and the end-users. The simulative results of an example show that the proposed distributed algorithm has good convergence performance. The proposed strategy can reduce the char-ging and discharging cost of EVs and the transformer life loss cost, and effectively protect the information privacy of EV users. |
| Key words: electric vehicles transformer life intelligent fusion terminal distributed model predictive control fast dual proximal gradient method |
