| 引用本文: | 何志昊,胡轶婕,李知艺,王冲,鞠平,胡学俊.考虑传输容量气象敏感特性的新型配电系统弹性提升方法[J].电力自动化设备,2025,45(10):50-58. |
| HE Zhihao,HU Yijie,LI Zhiyi,WANG Chong,JU Ping,HU Xuejun.New distribution system resilience enhancement method considering meteorological sensitivity of transmission capacity[J].Electric Power Automation Equipment,2025,45(10):50-58. |
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| 摘要: |
| 近年来，台风等极端天气事件频发，弹性提升已成为制约配电系统运行效能提升的重要挑战。现有弹性提升策略侧重于对配电系统进行防灾加固与设备升级，鲜有研究从气象数据价值的角度来审视弹性提升问题。为此，提出通过挖掘气象量测数据价值动态调整架空线路传输容量进而实现弹性提升的新思路。梳理极端天气对配电系统的影响机理，阐明气象数据的价值。通过部署气象传感器实时采集线路周边的气象量测数据，调度人员对线路传输容量进行在线计算。在此基础上，以配电系统弹性提升为目标，将线路动态热平衡方程嵌入气象传感器优化部署的数学模型中，并对非凸约束进行转化，构建混合整数规划模型。同时，为了提升模型的求解效率，基于观望的思想提出了海量故障场景的削减方法。基于改进的IEEE 33节点配电系统的算例分析验证了所提气象传感器规划方法在弹性提升方面的有效性。 |
| 关键词: 极端天气 新型配电系统 弹性提升 场景削减 气象传感器 |
| DOI：10.16081/j.epae.202507019 |
| 分类号: |
| 基金项目:国家自然科学基金资助项目(52477132) |
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| New distribution system resilience enhancement method considering meteorological sensitivity of transmission capacity |
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HE Zhihao1, HU Yijie1, LI Zhiyi1, WANG Chong2, JU Ping1,2, HU Xuejun1
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1.College of Electrical Engineering, Zhejiang University, Hangzhou 310027, China;2.School of Electrical and Power Engineering, Hohai University, Nanjing 211100, China
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| Abstract: |
| In recent years, with the frequent occurrence of extreme weather events such as hurricanes, resi-lience enhancement has emerged as a critical challenge restricting the improvement of distribution system operation efficiency. Existing resilience enhancement strategies focus on disaster prevention-oriented reinforcement and equipment upgrades. Few studies explore the issue from the perspective of the value of meteorological data. Therefore, a novel approach to enhance resilience by dynamically adjusting the transmission capacity of overhead lines through mining the value of meteorological measurement data is proposed. The impact mechanism of extreme weather on distribution systems is reviewed, and the value of meteorological data is clarified. By deploying meteorological sensors to collect real-time meteorological measurement data around the lines, operators can perform online calculation of transmission capacity. Based on this, with the goal of distribution system resilience enhancement, the dynamic thermal balance equation of the lines is integrated into the mathematical model for optimizing the deployment of meteorological sensors. Subsequently, the non-convex constraints in the model are reformulated, and a mixed-integer programming model is constructed. Furthermore, to improve the solution efficiency of the model, a massive failure scenario reduction method based on the waiting-and-see mindset is proposed. Case studies based on the modified IEEE 33-node system validate the effectiveness of the proposed meteorological sensor planning method in resilience enhancement. |
| Key words: extreme weather new distribution system resilience enhancement scenario reduction meteorological sensors |
