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河北工业大学
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基于改进时间模糊Petri 网配电网故障诊断方法.

Title: 基于改进时间模糊Petri 网配电网故障诊断方法.
Alternate Title: Method of Power Distribution Network Fault Diagnosis Based on Improved Time Fuzzy Petri Net
Language: Chinese
Authors: 刘鑫蕊1
高艺伟1
王智良1
Source: Journal of Northeastern University (Natural Science). Nov2016, Vol. 37 Issue 11, p1526-1529. 4p.
Document Type: Article
Author-Supplied Keywords: Petri net ; alarms information ; distribution network ; fault diagnosis ; time fuzzy ; 报警信息 ; 故障诊断 ; 时间模糊 ; 配电网 ; Petri 网 ; Petri net ; alarms information ; distribution network ; fault diagnosis ; time fuzzy ; Language of Keywords: English; Chinese
Abstract (English): In distribution network, the equipments in different regions have different reliabilities, and the automation of fault diagnosis is at low level. In order to make the fault diagnosis quick and accurate, a new method of distribution network fault diagnosis was presented based on improved time fuzzy Petri net. Firstly, the information of breakers with the switch and electrical information were corrected, and the areas where power collapse were found out. Then, according to the range that the breaker can protect, the suspicious fault elements were found out, and the time fuzzy Petri net model for suspicious fault elements with time-tag information was built. Finally the diagnosis results were given. The simulation results show that the efficiency and accuracy of fault diagnosis are improved. In addition, the fault process can be shown for dispatchers with good practical application value. [ABSTRACT FROM AUTHOR]
Abstract (Chinese): 配电网设备可靠性地区差异大, 故障诊断自动化程度低. 为保证能够快速精确地做出故障诊断, 提出了一种基于改进时间模糊Petri 网配电网故障诊断新方法. 首先利用保护断路器信息、报警信息、状态信 息和电气量来纠正断路器动作信息, 确定停电区域; 然后根据动作的断路器能够保护的范围确定可疑故障元 件, 利用带时标的保护断路器信息, 针对可疑故障元件建立时间模糊Petri 网模型进行故障诊断. 模拟测试表 明, 此方法提高了配电网故障诊断速度和准确度, 具有良好的实用价值. [ABSTRACT FROM AUTHOR]
(Copyright applies to all Abstracts.)
Author Affiliations: 1东北大学信息科学与工程学院ꎬ 辽宁沈阳110819
ISSN: 1005-3026 (Sherpa/RoMEO, JCR)
PageCount: 1526-1530
volume: 37
issue: 11
issn: 10053026
pubdate: 2016
DOI: https://doi.org/10.3969/j.issn.1005-3026.2016.11.002
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