SL-Z25010Y Intelligent Capacitor Main Control Circuit Fault Diagnosis Method And Realization

In recent years,reactive power has been increasing in my country's power grid,and excessive reactive power in the power grid will increase line losses,cause voltage drops,and affect power quality.In order to solve this problem,the power supply bureau will require users who generate a large amount of reactive power to compensate for reactive power on-site,and at the same time,fine users who do not meet the power factor.Smart capacitors are widely used in the power grid to solve the problem of excessive reactive power in the power grid.The failure of the smart capacitor main control circuit will cause excessive reactive power of the grid,and the power factor will not meet the requirements and the user will be fined by the power supply bureau.The traditional fault maintenance of the smart capacitor main control circuit mainly relies on the experience of maintenance personnel and lacks research on its fault diagnosis system.Therefore,it is necessary to study the fault theory and technology of the smart capacitor main control circuit.This article takes SL-Z25010 Y smart capacitor of a company in Yangzhou as the research object,and establishes the expert system of SL-Z25010 Y smart capacitor main control circuit fault diagnosis system.The specific content is as follows:Firstly,the purpose and significance of fault diagnosis of SL-Z25010 Y smart capacitor are introduced,as well as the status quo of domestic and foreign fault diagnosis methods.Several typical methods are introduced in detail,fault tree analysis method and expert system are described.For fault diagnosis of control circuit,a combination of fault tree analysis method and expert system is proposed as the fault diagnosis method of SL-Z25010 Y smart capacitor main control circuit.Secondly,in order to solve the problem of lack of SL-Z25010 Y smart capacitor master control circuit failure,through circuit analysis and expert communication,the unique working mode of SL-Z25010 Y smart capacitor is networking and divided into master and slave.In order to improve the diagnosis efficiency,Clarify the fault content of the master fault,slave fault and master and slave faults.In view of the host failure will have a greater negative impact on the network work of the SL-Z25010 Y smart capacitor,take the host failure as an example,establish a host fault tree and conduct qualitative and quantitative analysis.For the test sequence,some bottom events in the quantitative analysis are important to approximate the structure.The same degree cannot be solved,the improved analytic hierarchy process is introduced to calculate the weight,and the test order is determined according to the size of the weight.Through the weight value,it is found that the voltage sampling circuit is most likely to fail.The results obtained from the above analysis are used for the establishment of the expert system knowledge base and the design of the reasoning engine.Adopt knowledge-based reasoning method,forward reasoning mode and longitudinal-first search strategy to realize the reasoning process.Finally,the Visual Studio 2017 development platform and Microsoft SQL Server 2015 database are used to jointly construct the software architecture of the intelligent capacitor fault diagnosis expert system,and use SCPI and GPIB buses to complete the development of the SLZ25010 Y intelligent capacitor main control circuit fault diagnosis expert system.Taking the voltage sampling circuit failure as an example,the test can meet the fault diagnosis requirements of the SL-Z25010 Y smart capacitor main control circuit.