Multi-resource emergency repair and restoration strategy for distribution network under V2G pre-scheduling of electric vehicles

SHI Yuanzhao; ZHENG Wenzhe; WANG Zhenguo; XU Haifeng; HOU Hui; LIN Xiangning; KE Renguan

doi:10.16081/j.epae.202512006

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Multi-resource emergency repair and restoration strategy for distribution network under V2G pre-scheduling of electric vehicles

KEY TECHNOLOGIES FOR NEW TYPE POWER SYSTEMS: RESILIENCE ASSESSMENT AND ENHANCEMENT TECHNOLOGIES FOR NEW URBAN POWER GRIDS（2） | 更新时间：2026-01-14

- Multi-resource emergency repair and restoration strategy for distribution network under V2G pre-scheduling of electric vehicles
- Electric Power Automation Equipment Vol. 46, Issue 1, Pages: 99-106(2026)
- 作者机构：
  
  1.武汉理工大学自动化学院，湖北武汉 430070
  2.国网浙江省电力有限公司电力科学研究院，浙江杭州 310014
  3.华中科技大学电气与电子工程学院，湖北武汉 430074
- 作者简介：
- 基金信息：
  
  the National Natural Science Foundation of China(U22B20106);the Natural Science Foundation of Zhejiang Province(LZJMY25D050006);the Science and Technology Project of State Grid Zhejiang Electric Power Co.,Ltd(B311DS25Z009)
- DOI：10.16081/j.epae.202512006
  CLC： TM712
- Received：18 April 2025，
  
  Revised：2025-12-04，
  
  Published：10 January 2026
- 稿件说明：
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石远钊,郑文哲,王振国等.电动汽车V2G预调度下配电网多资源抢修恢复策略[J].电力自动化设备,2026,46(01):99-106.

SHI Yuanzhao,ZHENG Wenzhe,WANG Zhenguo,et al.Multi-resource emergency repair and restoration strategy for distribution network under V2G pre-scheduling of electric vehicles[J].Electric Power Automation Equipment,2026,46(01):99-106.
石远钊,郑文哲,王振国等.电动汽车V2G预调度下配电网多资源抢修恢复策略[J].电力自动化设备,2026,46(01):99-106. DOI： 10.16081/j.epae.202512006.

SHI Yuanzhao,ZHENG Wenzhe,WANG Zhenguo,et al.Multi-resource emergency repair and restoration strategy for distribution network under V2G pre-scheduling of electric vehicles[J].Electric Power Automation Equipment,2026,46(01):99-106. DOI： 10.16081/j.epae.202512006.

摘要

极端灾害频发引发配电网大规模停电，传统灾修方式受限于覆盖面窄与时效滞后，难以应对当前应急需求。针对极端灾害场景下配电网多资源协同调度与供电响应等不足，提出一种电动汽车车网互动（V2G）预调度下配电网多资源抢修恢复策略。构建电动汽车车主收益模型增强车主参与意愿，实现电动汽车预调度。建立灾后多资源协同抢修恢复模型，协同风力发电机组、光伏发电机组及抢修队伍，以灾后配电网综合抢修恢复成本最低为目标，统筹电动汽车时空约束、风光出力约束、抢修队伍独立性约束、潮流约束等。以台风苏拉（2023年）过境后的X市配电网为案例进行仿真验证，结果表明，所提策略可有效提升灾后供电恢复效率与经济性。

Abstract

The escalating frequency of extreme disaster events worldwide has triggered widespread outages in distribution network. Conventional post-disaster recovery approaches，constrained by limited coverage coordination and delayed response time，increasingly struggle to meet urgent restoration demands. To address the deficiencies in multi-resource coordination and power supply responsiveness of distribution network under extreme disaster scenarios，an multi-resource emergency repair and restoration strategy for distribution network under vehicle to grid（V2G） pre-scheduling of electric vehicles is proposed. A revenue incentive model for electric vehicle owners is developed to enhance participation willingness，enabling effective electric vehicle pre-scheduling. A post-disaster multi-resource coordinated emergency repair and restoration model is developed to integrate wind turbines，photovoltaic units and repair crews，aiming to minimize the total post-disaster restoration cost while comprehensively addressing spatiotemporal constraints of electric vehicles，power output constraints of wind and photovoltaic resources，operational independence constraints of repair crews and power flow stability constraints. A case study simulation is performed on the distribution network of X City，following Typhoon Saola（2023）. Results indicate that proposed strategy effectively improves both restoration efficiency and economic performance in post-disaster power supply recovery.

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