| 引用本文: | 王涵,孙磊,文福拴.考虑孤岛动态划分与融合的配电系统故障恢复策略[J].电力自动化设备,2025,45(10):92-99. |
| WANG Han,SUN Lei,WEN Fushuan.Service restoration strategy of distribution system considering dynamic islanding partition and merging[J].Electric Power Automation Equipment,2025,45(10):92-99. |
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| 摘要: |
| 不断增加的间歇性可再生能源发电并网加剧了配电系统故障恢复的复杂性，动态孤岛划分与多资源协同优化调度是提升其恢复效率的关键。为此，提出一种计及动态孤岛划分与融合的含风电和储能的配电系统故障恢复策略。提出多时间尺度的故障恢复协同优化框架。建立基于最大密度理论的动态孤岛划分与融合约束，实现孤岛边界与数量的动态调整。针对风电出力的波动性与不确定性，提出基于分布鲁棒优化的风储联合系统调度策略，以确保在风电出力不确定条件下能获得可行的调度策略，进而构建考虑动态孤岛划分与融合约束、风储联合系统调度策略、分布式发电机组运行约束和抢修队伍调度的多时间尺度配电系统故障恢复优化模型。采用改进的IEEE 33节点配电系统对所提方法的可行性与有效性进行验证。 |
| 关键词: 配电系统 故障恢复 动态孤岛划分与融合 风储联合系统 分布鲁棒优化 |
| DOI：10.16081/j.epae.202509007 |
| 分类号: |
| 基金项目:国家自然科学基金资助项目(51907043)；安徽省自然科学基金资助项目(2308085ME179) |
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| Service restoration strategy of distribution system considering dynamic islanding partition and merging |
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WANG Han1,2, SUN Lei1,2, WEN Fushuan3
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1.School of Electrical Engineering and Automation, Hefei University of Technology, Hefei 230009, China;2.Anhui Provincial Key Laboratory of New Energy Utilization and Energy Saving(Hefei University of Technology),Hefei 230009, China;3.College of Electrical Engineering, Zhejiang University, Hangzhou 310027, China
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| Abstract: |
| The ever-growing integration of renewable energy sources intensifies the complexity of distribution system restoration, dynamic islanding partitioning and multi-resource coordinated scheduling are pivotal for enhancing restoration efficiency. To address this challenge, a service restoration strategy of distribution system with wind turbine-energy storage system(WESS) considering dynamic islanding partition and merging is proposed. A coordinated optimization framework for service restoration in multiple time scales is proposed. Based on the maximum density theory, the constraints for dynamic islanding partition and merging are formulated to enable adaptive adjustment of island boundaries and quantities. To address the volatility and uncertainty of wind power generation, a distributionally robust optimization-based scheduling strategy for WESSs is developed to ensure that a feasible dispatch strategy can be obtained under wind power uncertainties. Then a multi-time scale restoration optimization model of distribution system is constructed with the consideration of dynamic islanding partition and merging constraints, scheduling strategy of WESSs, operation constraints of distributed generators(DGs) and the scheduling constraints of repair crews. The feasibility and effectiveness of the proposed method is validated by a modified IEEE 33-node distribution system. |
| Key words: distribution system service restoration dynamic islanding partition and merging wind turbine-energy storage system distributionally robust optimization |
