| 引用本文: | 金明亮,李会新,谢俊,等.基于规则式的多重故障诊断及最优送电路径策略[J].电力系统保护与控制,2019,47(4):176-181.[点击复制] |
| JIN Mingliang,LI Huixin,XIE Jun,et al.Rule based intelligent fault diagnosis and recovery power delivery algorithm[J].Power System Protection and Control,2019,47(4):176-181[点击复制] |
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| 摘要: |
| 为了提高电网多重故障诊断的准确性，提出一种基于多系统数据信息融合的故障诊断算法。通过对故障全过程的数据特征进行分析，以故障数据与电网结构图为基础对一次设备进行建模，形成断路器、线路、母线、主变诊断模型。对来自不同信息源(SCADA、保信系统、录波联网系统)的数据进行统一处理，形成故障全过程智能诊断数据源，并以此为基础进行深度数据融合，提升信息的质量。充分利用故障后的断路器状态和电气量信息，对故障进行精确诊断，确定故障区域，然后，采用基于规则式的故障恢复路径算法，给出快速恢复供电的最优的路径。该系统运行情况表明，所提出的方法具有较强的实用性。 |
| 关键词: 数据特征 融合 信息质量 故障恢复 |
| DOI：10.7667/PSPC180371 |
| 投稿时间：2018-04-02修订日期：2018-06-08 |
| 基金项目:国家电网华中分部项目资助(SGHZ0000DKJS 1700140) |
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| Rule based intelligent fault diagnosis and recovery power delivery algorithm |
| JIN Mingliang,LI Huixin,XIE Jun,YANG Zengli,GUO Mingyu,LI Min |
| (Central China Branch of State Grid Corporation of China, Wuhan 430077, China;State Grid Hubei Electric Power Co., Ltd., Wuhan 430077, China;Wuhan Zhongyuan Huadian Science and Technology Co.Ltd., Wuhan 430223, China) |
| Abstract: |
| In order to improve the accuracy of power grid multiple fault diagnosis, a power grid fault diagnosis algorithm based on multi-layer data fusion is proposed. Through the analysis of the data characteristics of the whole process of fault, the fault data and the power grid structure diagram are used to model the primary equipment, and the diagnosis model of circuit breaker, line, bus and main transformer is formed. The data from different sources of information (SCADA, prudential system, recording system) is treated uniformly to form the whole process of fault intelligent diagnosis data source, and on the basis of in-depth data fusion, the quality of information is improved. This paper makes full use of the circuit breaker status and electrical information after fault to accurately diagnoses the fault and determine the fault area, and then adopts the recovery path algorithm based on fault rules to give the optimal path of the rapid restoration of power supply. The operation results show that the proposed method has strong practicability. This work is supported by Central China Division of State Grid Corporation of China (No. SGHZ0000DKJS1700140). |
| Key words: data characteristics fusion information quality fault recovery |
