| 引用本文: | 石远钊,郑文哲,王振国,徐海峰,侯慧,林湘宁,柯人观.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(1):99-106 |
| SHI Yuanzhao,ZHENG Wenzhe,WANG Zhenguo,XU Haifeng,HOU Hui,LIN Xiangning,KE Renguan.Multi-resource emergency repair and restoration strategy for distribution network under V2G pre-scheduling of electric vehicles[J].Electric Power Automation Equipment,2026,46(1):99-106 |
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| 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。 |
| 关键词: 极端灾害 电动汽车 V2G 多资源 抢修恢复 风力发电机组 光伏 |
| DOI：10.16081/j.epae.202512006 |
| 分类号:TM712 |
| 基金项目:国家自然科学基金资助项目(U22B20106)；浙江省自然科学基金资助项目(LZJMY25D050006)；国网浙江省电力有限公司科技项目(B311DS25Z009) |
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| Multi-resource emergency repair and restoration strategy for distribution network under V2G pre-scheduling of electric vehicles |
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SHI Yuanzhao1, ZHENG Wenzhe2, WANG Zhenguo2, XU Haifeng1, HOU Hui1, LIN Xiangning3, KE Renguan2
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1.School of Automation, Wuhan University of Technology, Wuhan 430070, China;2.State Grid Zhejiang Electric Power Research Institute, Hangzhou 310014, China;3.School of Electrical and Electronic Engineering, Huazhong University of Science and Technology, Wuhan 430074, China
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| 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. |
| Key words: extreme disaster electric vehicle V2G multi-resource emergency repair and restoration wind turbine photovoltaic |
