引用本文:杜诗嘉,郭创新,俞啸玲,赵福林,邢海青,方赟朋.台风灾害下的弹性配电网研究综述与展望[J].电力自动化设备,2022,42(2):
DU Shijia,GUO Chuangxin,YU Xiaoling,ZHAO Fulin,XING Haiqing,FANG Yunpeng.Review and prospect of resilient distribution network under typhoon disaster[J].Electric Power Automation Equipment,2022,42(2):
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台风灾害下的弹性配电网研究综述与展望
杜诗嘉1, 郭创新1, 俞啸玲2, 赵福林1, 邢海青2, 方赟朋2
1.浙江大学 电气工程学院,浙江 杭州 310027;2.国家电网杭州供电公司,浙江 杭州 310009
摘要:
近年来,由于全球气候变暖、生态系统破坏等影响,世界范围内极端气象灾害频发,对配电网造成的影响和带来的损失已不容忽视,亟需建立能够预防、抵御极端灾害并快速恢复关键负荷的配电网,即弹性配电网。首先介绍弹性配电网的定义与特征,而后聚焦台风这一极端天气灾害,综述现有的弹性配电网在配电网规划、灾前预警、灾后恢复、弹性评估与弹性提升等方面的研究成果,并以此为基础展望未来弹性配电网发展方向。
关键词:  弹性配电网  台风灾害  配电网规划  灾前预警  灾后恢复  弹性评估
DOI:10.16081/j.epae.202110028
分类号:TM715
基金项目:国家自然科学基金资助项目(51877190);国网浙江省电力有限公司科技项目(5211HZ190150)
Review and prospect of resilient distribution network under typhoon disaster
DU Shijia1, GUO Chuangxin1, YU Xiaoling2, ZHAO Fulin1, XING Haiqing2, FANG Yunpeng2
1.College of Electrical Engineering, Zhejiang University, Hangzhou 310027, China;2.State Grid Hangzhou Power Supply Company, Hangzhou 310009, China
Abstract:
In recent years, due to the impact of global warming and ecosystem destruction, extreme meteorological disasters occur frequently all over the world, and the impact and losses on distribution networks cannot be ignored. In this context, the concept of resilient distribution network is proposed to prevent and withstand extreme disasters and recover critical loads quickly. Firstly, the definition and characteristics of resilient distribution network are introduced. Then, focusing on typhoon, an extreme weather disaster, the existing research achievements of resilient distribution network are summarized in five key contents, which are distribution network planning, pre-disaster warning, post-disaster recovery, resilience assessment and resilience enhancement. On this basis, the future development directions of resilient distribution network is prospected at last.
Key words:  resilient distribution network  typhoon disaster  distribution network planning  pre-disaster warning  post-disaster recovery  resilience assessment

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