Design Of Substation Monitoring System Based On Meteorological Information

Meteorological factors,as one of the important factors affecting the operation of power system equipment and the stability of power system,have attracted extensive attention from researchers.Experimental research and theoretical analysis show that there is a certain correlation between meteorological environment and power system equipment failure,and abnormal weather such as strong wind,thunderstorm and snowfall will cause short circuit,grounding or switching misoperation of the equipment,endangering the safe and stable operation of the power system.And for the small modular early warning system of substation to realize regionalized real-time weather data collection,substation fault risk assessment and fault warning based on weather information,it is of great theoretical significance and application value to establish a set of substation monitoring and early warning system based on multi-dimensional weather data analysis,based on which,the research made in this paper is as follows:(1)To classify and sort out the types of substation faults that may be caused by different meteorological environments in the substation area,and summarize the demand for specialized meteorological information for the monitoring and warning system,and propose the functional objectives of establishing a substation monitoring and warning system based on meteorological information.(2)Analyze and process the meteorological data of the substation area to obtain a meteorological database for prediction;design a BP neural network prediction model based on genetic optimization,use the meteorological database to train the model repeatedly,overcome the shortcomings of the traditional BP neural network algorithm which is easy to fall into the local optimal solution and ensure the computational speed and accuracy of the model,realize the accurate prediction of the key meteorological factors at the time to be analyzed,and provide key data for the risk assessment of substation faults.(3)Aiming at the problem of substation fault risk assessment based on meteorological factors,a gray correlation fault diagnosis model with improved resolution coefficients is proposed,and a dynamic adjustment function of resolution coefficients is introduced to improve the significance of the correlation analysis with fixed values of resolution coefficients in the traditional gray correlation analysis method;the meteorological matrix is constructed by verifying the historical data of Yuncheng 500 k V Tongxiang substation,and the data prediction model is used to accurately predict The comparison experiments show that the improved model has more significant correlation than the traditional model,which improves the accuracy of risk assessment and avoids "under-warning" and "over-warning" of the monitoring and warning system.(4)Design the hardware of the monitoring system,realize the collection and storage of meteorological data in the substation area,design the data platform of the monitoring system,ensure the reliable operation of the hardware of the monitoring system,the main functions include real-time monitoring of meteorological data,early warning of substation risk level,historical data curve display,classify the risk level of the substation and propose countermeasures.Combined with experimental tests and practical application in Yuncheng 500 k V Tongxiang substation,the results show that the substation monitoring and warning system built in this paper combines meteorological information with substation environment monitoring and risk level assessment,analyzes the potential risks existing in substations under different meteorological conditions,realizes fault warning,reduces equipment losses and operation and maintenance costs,and has important practical application value.