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文章摘要
基于代数模型的配电系统可靠性评估方法
Reliability assessment method of distribution system based on algebraic model
Received:October 17, 2022  Revised:October 25, 2022
DOI:10.19753/j.issn1001-1390.2025.06.017
中文关键词: 可靠性评估,配电系统,线性方程组,非模拟方法,代数模型
英文关键词: reliability assessment, distribution system, linear equations, non-simulation method, algebraic model
基金项目:国网浙江省电力有限公司科技项目(B311HZ21000P)
Author NameAffiliationE-mail
YU Wei* State Grid Zhejiang Electric Power Co,Ltd lxbctgu@163.com 
LI Heng State Grid Hangzhou Power Supply Company zld2017@126.com 
SU Yifang State Grid Zhejiang Electric Power Co,Ltd lxbwhu@126.com 
KONG Yixiao State Grid Hangzhou Power Supply Company liao_xiao_bing@163.com 
LU Yangchao Zhejiang Huayun Information Technology Co,Ltd xbliao@whu.edu.cn 
LE Jian School of Electrical Engineering,Wuhan University 925686562@qq.com 
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中文摘要:
      为解决现有配电系统可靠性依赖模拟方法的和非精确优化方法的弊端,文中提出了一种新的、高效的基于代数模型的配电系统可靠性评估方法,首先通过采用期望节点停电率和持续停电时间构建4类常用的配电系统可靠性指标,然后将其重构为基于节点相关信息的等值递推代数模型,最后将拓扑相关信息转化代数约束嵌入到递推代数模型中,重构为一组代数模型,从而可以高效、便捷的计算可靠性指标。仿真结果表明,所提出的代数方法所需的计算速度分别比基于蒙特卡洛模拟的可靠性评估方法和基于优化的可靠性评估方法要快2~3个数量级,有利于进一步将其应用于配电网规划和运行中。
英文摘要:
      In order to solve the shortcomings of existing distribution system reliability dependent simulation methods and imprecise optimization methods, a new and efficient distribution system reliability evaluation method based on algebraic model is proposed in this paper. Firstly, four types of commonly-used distribution system reliability indicators are constructed by using the expected node outage rate and duration, and then, they are reconstructed into an equivalent recursive algebraic model based on node related information. Finally, the topological related information is transformed into algebraic constraints and embedded into the recursive algebraic model, which is reconstructed into a group of algebraic models, so that the reliability index can be calculated efficiently and conveniently. The simulation results show that the calculation speed required by the algebraic method proposed in this paper is 2~3 orders of magnitude faster than that of the reliability evaluation method based on Monte Carlo simulation and the reliability evaluation method based on optimization, respectively, which is conducive to further application in distribution network planning and operation.
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