Quantitative Decomposition Based Analysis on Reliability Improvement Measures for Distribution Network

被引：0
|
作者：
Kong X. [1 ]
Lyu X. [1 ,2 ]
Yu X. [1 ,2 ]
Wu Z. [4 ]
机构：
[1] Key Laboratory of the Ministry of Education on Smart Power Grids (Tianjin University), Tianjin
[2] State Grid Shenyang Power Supply Company, Shenyang
[3] Electric Power Research Institute of Guangxi Power Grid Company Limited, Nanning
[4] China Southern Power Grid Company Limited, Guangzhou
来源：
Dianli Xitong Zidonghua/Automation of Electric Power Systems | 2019年 / 43卷 / 19期
基金：
国家重点研发计划;
关键词：
Implementation correction; Planning of distribution network; Quantitative analysis; Reliability improvement measure; Reliability parameter;
D O I：
10.7500/AEPS20180828001
中图分类号：
学科分类号：
摘要：
The reliability improvement measures of distribution network are difficult to be quantitatively analyzed and horizontally compared. An evaluation and analysis method for reliability improvement measures of distribution network based on quantitative decomposition is proposed, in which reliability parameters are taken as intermediate variables to reflect the influence of reliability enhancement measures of distribution network on the reliability index. By establishing the relationship between reliability enhancement measures and reliability parameters as well as reliability index, the reliability index of distribution network is solved by explicit formulas. Considering that the node scale of the distribution network is large but the type is relatively simple, the reliability evaluation strategy based on feeder type is adopted to simplify the solution process. For the difference in the actual power grid scale, management system, communication environment and equipment foundation, some implementation correction parameters of reliability improvement measures are introduced to eliminate the difference caused by different power grid conditions. Case studies of an actual power grid in China verify the effectiveness of the proposed method. © 2019 Automation of Electric Power Systems Press.
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页码：132 / 139
页数：7
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