首页|期刊导航|电力建设|考虑多时域电动汽车与应急供电车协同的电网供电恢复策略

考虑多时域电动汽车与应急供电车协同的电网供电恢复策略OA

Coordinated Power Restoration Strategy of Electric Vehicles and Emergency Power Supply Vehicles Considering Multi-Temporal Domains

中文摘要英文摘要

[目的]针对配电网故障下关键负荷恢复供电问题,提出一种多时域电动汽车(electric vehicle,EV)与应急供电车(emergency power supply vehicle,EPSV)协同供电恢复策略.[方法]构建多时序EV等效电源模型,刻画夏季、冬季、工作日和节假日场景下EV群体可调度能力;建立考虑负荷重要度、容量及停电持续时间的失电损失评估模型;在此基础上,构建EV-EPSV两阶段协同调度模型,并采用遗传算法(genetic algorithm,GA)与自适应大邻域搜索算法(adaptive large neighborhood search,ALNS)求解.[结果]算例结果表明,相对于仅EV参与方案,EV+EPSV启发式方案失电损失节省率为9.51%~16.19%,所提协同方案失电损失节省率为34.49%~70.36%;在相同协同恢复框架下,ALNS相对于局部搜索算法(local search,LS)的失电损失节省率为15.97%~49.18%.[结论]所提策略能够发挥EV快速响应与EPSV机动补偿的时序互补优势,有效降低失电损失并提升故障后配电网供电恢复效率.

[Objective]To address the problem of critical load power restoration after distribution network faults,a coordinated power restoration strategy integrating electric vehicles(EVs)and emergency power supply vehicles(EPSVs)across multiple temporal domains is proposed.[Methods]A multi-temporal EV equivalent power source model is established to characterize the available power capacity of EV fleets under summer,winter,workday,and holiday scenarios.A load outage loss assessment model considering load importance,capacity,and outage duration is developed.On this basis,a two-stage EV-EPSV coordinated scheduling model is constructed and solved using genetic algorithm(GA)and adaptive large neighborhood search(ALNS).[Results]Simulation results show that,compared with the EV-only scheme,the EV+EPSV heuristic scheme achieves a load outage loss saving rate of approximately 9.51%-16.19%,while the proposed coordinated scheme achieves a load outage loss saving rate of approximately 34.49%-70.36%.Under the same coordinated restoration framework,ALNS outperforms local search(LS)with a saving rate of approximately 15.97%-49.18%.[Conclusions]The proposed strategy can exploit the temporal complementarity between the rapid response of EVs and the mobile compensation capability of EPSVs,effectively reducing load outage losses and improving power restoration efficiency after distribution network faults.

徐艳春;李芳;席磊;张涛;王凌云;MI Lu

湖北省输电线路工程技术研究中心(三峡大学),湖北省 宜昌市 443002||三峡大学电气与新能源学院,湖北省 宜昌市 443002湖北省输电线路工程技术研究中心(三峡大学),湖北省 宜昌市 443002||三峡大学电气与新能源学院,湖北省 宜昌市 443002湖北省输电线路工程技术研究中心(三峡大学),湖北省 宜昌市 443002||三峡大学电气与新能源学院,湖北省 宜昌市 443002湖北省输电线路工程技术研究中心(三峡大学),湖北省 宜昌市 443002||三峡大学电气与新能源学院,湖北省 宜昌市 443002湖北省输电线路工程技术研究中心(三峡大学),湖北省 宜昌市 443002||三峡大学电气与新能源学院,湖北省 宜昌市 443002德克萨斯农工大学电气与计算机工程系,美国卡城 77843

信息技术与安全科学

电动汽车应急供电车多时序放电模型失电负荷评估供电恢复

electric vehicleemergency power supply vehiclemulti-temporal discharging modelload outage assessmentpower supply restoration

《电力建设》 2026 (8)

119-139,21

This work is supported by National Natural Science Foundation of China(No.52477104) 国家自然科学基金项目(52477104)

10.12204/j.issn.1000-7229.2026.08.009

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