Method for studying and judging power failure of distribution network

Abstract

The invention discloses a method for studying and judging a power failure of a distribution network, and the method for studying and judging a power failure of a distribution network comprises the following steps: 1, obtaining a power grid equipment topology model through the analysis of a general information model, and obtaining the information of a power supply transformer at a fault point, including the name of the transformer and the unique code of the transformer; 2, the power distribution automation master station system judging different fault points according to the detected power distribution network signals; and 3, analyzing a fault according to the topological model, and positioning a tripping point and a fault interval when the fault occurs. The method has the beneficial effects that the method is correct and effective, full-type decision making, full-information monitoring, full-online management and control and full-process control of the power distribution network faults are realized, the processing efficiency and management and control strength of the power distribution network faults are further improved, the function application of a power distribution automation system is deepened, and the safe, efficient and standard management level of operation and fault handling of the power distribution network is comprehensively improved.

Description

technical field [0001] The invention relates to the field of electric power technology, in particular to a method for researching and judging power faults in a distribution network. Background technique [0002] At present, the fault diagnosis methods of distribution network mainly include optimization-based methods, artificial neural network methods, and expert system methods. The typical application of expert system in fault diagnosis of transmission network is the system based on generating rules. Although the current application of expert systems is relatively successful, there are still many defects in practical applications: the power system is a huge and complex system, and it is difficult to obtain a complete knowledge base; When reasoning, it is necessary to search and match a certain set of rules in the knowledge base before drawing a conclusion, so the speed of reasoning is very slow; when the power system structure and protection configuration change, the mainte...

AI Technical Summary

Problems solved by technology

Although the current application of expert systems is relatively successful, there are still many defects in practical applications: the power system is a huge and complex system, and it is difficult to obtain a complete knowledge base; When reasoning, it is necessary to search and match a certain rule set in the knowledge base before drawing a conclusion, so the speed of reasoning is very slow; when the power system structure and protection configuration change, the maintenance of the knowledge base is quite difficult

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