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文章摘要
基于网络分区的农村电网分布式电源可靠性评估方法
Reliability evaluation method of distributed generation in rural power grid based on network partition
Received:June 24, 2022  Revised:June 24, 2022
DOI:10.19753/j.issn1001-1390.2025.05.010
中文关键词: 网络分区  农村电网  分布式电源  蒙特卡洛模拟方法  可靠性评估
英文关键词: network partition, rural power grid, distributed generation, Monte Carlo simulation method, reliability evolution
基金项目:国家自然科学基金资助项目(51807173)
Author NameAffiliationE-mail
KongFanFang* State Grid Zhejiang WenZhou District Power Supply CO,LTD,Zhejiang,WenZhou fanfangkong318@163.com 
Yang DeDong State Grid Zhejiang TaiZhou District Power Supply CO,LTD,Zhejiang,TaiZhou fanfangkong318@163.com 
ZhangRui State Grid Zhejiang WenZhou District Power Supply CO,LTD,Zhejiang,WenZhou fanfangkong318@163.com 
Xu Peng State Grid Zhejiang WenZhou District Power Supply CO,LTD,Zhejiang,WenZhou fanfangkong318@163.com 
Li YiMiao State Grid Zhejiang WenZhou District Power Supply CO,LTD fanfangkong318@163.com 
Yao XiMan State Grid Zhejiang WenZhou District Power Supply CO,LTD fanfangkong318@163.com 
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中文摘要:
      为了提高分布式电源在农村电网中的运行的安全性和可靠性,提出基于网络分区的农村电网分布式电源可靠性评估方法,该方法构建了光伏、风电分布式电源出力可靠性模型,将农村电网划分为四个区域,构建各个区域中的分布式电源的可靠性指标。采用蒙特卡洛模拟方法评估农村电网分布式电源的可靠性。结果表明:与实际的分布式电源平均供电精度相比,该方法的测试结果误差控制在0.2%以内,远低于含分布式电源的配电网可靠性评估与考虑分布式电源出力随机特性的配电网节点脆弱性评估方法的误差,表明该方法能够准确评估农网分布式供电的可靠性。
英文摘要:
      In order to improve the safety and reliability of distributed generation in rural power grid, a reliability evaluation method of distributed generation in rural power grid based on network partition is proposed. This method firstly constructs the output reliability model of photovoltaic and wind power distributed generation, and then, divides the rural power grid into four regions, and constructs the reliability index of distributed generation in each region. Monte Carlo simulation method is used to evaluate the reliability of distributed generation in rural power grid. The results show that compared with the average power supply accuracy of the actual distributed power supply, the error of the test results of this method is controlled within 0.2%, which is far lower than the error of the reliability evaluation of the distribution network with distributed generation and the node vulnerability evaluation method of the distribution network considering the random characteristics of the distributed generation, indicating that the proposed method can accurately evaluate the reliability of distributed power supply in rural power grid.
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