A Generalized Matrix Algorithm for Reliability Evaluation of Distribution Network Orienting the Least Distribution Sections

ZHANG Zhao1; LU Xian-feng1; CHEN Hao2

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A Generalized Matrix Algorithm for Reliability Evaluation of Distribution Network Orienting the Least Distribution Sections

更新时间：2025-04-26

- A Generalized Matrix Algorithm for Reliability Evaluation of Distribution Network Orienting the Least Distribution Sections
- High VoltageApparatus Vol. 45, Issue 3, Pages: 44-48(2009)
- 作者机构：
  
  1. 上海市电力公司嘉定供电分公司
  2. 江苏省电力公司南京供电公司
- 作者简介：
- 基金信息：
- DOI：
  CLC： TM732
- Published：2009
- 稿件说明：
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[1]张钊,陆贤锋,陈昊.面向最小配电块的配网可靠性通用矩阵评估算法[J].高压电器,2009,45(03):44-48.

ZHANG Zhao1, LU Xian-feng1, CHEN Hao2. A Generalized Matrix Algorithm for Reliability Evaluation of Distribution Network Orienting the Least Distribution Sections[J]. High voltageapparatus, 2009, 45(3): 44-48.
[1]张钊,陆贤锋,陈昊.面向最小配电块的配网可靠性通用矩阵评估算法[J].高压电器,2009,45(03):44-48. DOI：

ZHANG Zhao1, LU Xian-feng1, CHEN Hao2. A Generalized Matrix Algorithm for Reliability Evaluation of Distribution Network Orienting the Least Distribution Sections[J]. High voltageapparatus, 2009, 45(3): 44-48. DOI：

摘要

笔者采用面向最小配电区域的等值网络模型

使计算元件数极大简化;提出了基于分区模型的网络描述矩阵

能迅速方便地划分出各类故障节点集;最后归纳总结出网络可靠性指标的通用矩阵评估公式。该算法考虑了负荷熔断器和馈线断路器的不可靠开断、多备用电源的分布

通过网络描述矩阵建立的可靠性评估矩阵公式具有较强的通用性

将配电线路架空部分和电缆部分参数分开设置

更加贴近应用实际。算例验证了该算法的可行性和高效性。

Abstract

An equivalent model for distribution system is presented

which takes the least distribution sections as analytic elements to significantly simplify the components calculation.The describing matrix of network based on the sections model is proposed

with which all fault node sets can be quickly classified.Moreover

generalized matrix formulas for evaluating reliability indices of a distribution system are deduced.The algorithm takes sufficient special factors into account

such as misoperations of fuses or breakers

and multiple adjacent sources in network

and respectively assigns the parameters of overhead lines or cables

according to the actual situation.Example results show applicability and effectiveness of the algorithm.

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