一种基于多资源信息融合的电网故障诊断方法

Q1 Engineering 电力系统自动化 Pub Date : 2012-01-01 DOI:10.3969/J.ISSN.1000-1026.2012.01.012

Guangning Su, Peichao Zhang, Yan Hu, Z. Yan

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引用次数: 2

摘要

为了保证在实际保护和断路器误动作或相关报警丢失等情况下故障诊断结果的准确性，提出了一种新的故障诊断方法。该方法以集覆盖理论为指导，建立了一个典型的基于遥测数据的优化模型。并利用小波分析技术对故障记录仪信息进行分析。最后，将上述两种方法的诊断结果与改进的证据理论进行融合，从而获得准确的诊断结果。在RTDS上验证了该方法的有效性。

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A novel fault diagnosis method based on information fusion of multi-resources for power grids

In order to guarantee the accuracy of the fault diagnosis results when actual protections and breakers wrongly act,or the relevant alarms lost and so on,a new fault diagnosis method is proposed.In this method,a typical optimization model based on telemetering data is developed with the guidance of set cover theory.And a wavelet technique is used to analyze the fault recorder information.Finally,results of the above two methods are fused with the improved evidence theory,and therefore the accurate diagnosis results are obtained.The effectiveness of the proposed method has been proved on RTDS.

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来源期刊

电力系统自动化 Energy-Energy Engineering and Power Technology

CiteScore

8.20

自引率

0.00%

发文量

15032

期刊介绍： Founded in 1977, Power System Automation is a well-known journal in the discipline of electrical engineering in China. At present, it has been issued to all provinces, cities, autonomous regions, Hong Kong, Macao and Taiwan, and abroad to dozens of countries in North America, Europe and Asia-Pacific region, with a large number of readers at home and abroad. Power System Automation takes “based on China, facing the world, seeking truth and innovation, promoting scientific and technological progress in the field of electric power and energy” as the purpose of the journal, mainly for the professional and technical personnel, teachers and students engaged in scientific research, design, operation, testing, manufacturing, management and marketing in the electric power industry and higher education institutions as well as electric power users, and focuses on hotspots of the industry's development and the It focuses on the hot and difficult issues of the industry. It focuses on the hot and difficult issues of the industry, both academic and forward-looking, practical and oriented, and at the same time emphasizes and encourages technical exchanges of experiences, improvements and innovations from the front line of scientific research and production.