Method for conducting power system fault diagnosis by combining information theory with expert system

Abstract

The invention discloses a method for conducting power system fault diagnosis by combining information theory with expert system, belonging to the technical field of power system safety treatment. Themethod includes the following steps: firstly establishing a fault diagnosis information transfer model of an actual channel, determining all possible pieces of equipment with fault through forward reasoning of the expert system according to a power cut area where the power system fails, then respectively assuming suspicious equipment, and reasoning out the corresponding action state of switching and protection reversely to obtain all possible information sources in actual communication. Finally, a control center obtains a group of data sequences consisting of the action state of switching andprotection, establishes the fault diagnosis information transfer model based on the actual channel and implements examination, repair and removal of faults according to the fault diagnosis informationtransfer model.

Description

technical field [0001] The invention belongs to the technical field of power system safety processing, and in particular relates to a method for diagnosing power system faults by combining information theory and an expert system. Background technique [0002] There is uncertainty in the power system fault process itself, which is mainly caused by protection or circuit breaker malfunction, refusal to operate, telecontrol information communication error and other factors. When the fault symptom signal can only be obtained through the SCADA (Data Acquisition and Monitoring) system, the uncertainty in the grid fault diagnosis is more obvious, which affects the real-time diagnosis of the grid fault. Both Bayesian network and information theory are based on probability theory, which can quantify the uncertainty of fault information. [0003] Wu Xin, Guo Chuangxin and others published "Bayesian network-based power system fault diagnosis method" in the "Journal of Electric Power Sy...

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Problems solved by technology

It is a huge set of data. Although modern optimization algorithms are used to overcome the problem of too large solution space, it will still affect the diagnosis speed in practical applications. Especially for complex faults, the source solution space is huge, which is not conducive to online Troubleshooting

[0006] Guo Chuangxin, Zhu Chuanbai, Cao Yijia, Wu Xin and others introduced in the article "Research Status and Development Trend of Power System Fault Diagnosis" published in "Power System and Automation" 2006, 4, 30(8): 98-103 The expert system has been successfully applied in fault diagnosis, but due to the fuzziness and uncertainty of SCADA information, the shortcomings of the expert system in the fault diagnosis process are exposed.

One case is that the fault symptoms obtained by the dispatch center correspond to a variety of suspicious faults, and the other case is that due to the wrong transmission of information, the received fault symptoms cannot match the rules of the expert system. At this time, the diagnosis method based on the expert system cannot deal with this uncertainty

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