Regulation and control operation signal monitoring method based on big data

Abstract

The invention discloses a regulation and control operation signal monitoring method based on big data. The method comprises the steps of collecting power grid data in a standardized mode; generating aclassification tree model from the historical data by using a decision tree algorithm, and training the model; pruning unreasonable parts in the classification tree model by using a decision tree pruning algorithm; training the trimmed model, and inputting real-time data to obtain a predicted value of a data state; and performing power grid regulation and control according to the prediction value. The optimal analysis result is provided by capturing a regulation and control operation signal and using a decision tree algorithm, so that the manual analysis is reduced, and the accuracy and timeliness of the analysis are improved; the main distribution network data is integrated in a targeted manner, the data is cleaned, useless data is filtered, data modeling is carried out on useful data, state prediction is carried out on the data through a decision-making tree algorithm, prediction, integration, checking and statistics functions are provided, and a regulator is helped to better process various conditions in regulation and control operation.

Description

technical field [0001] The invention relates to the technical field of power grid signal monitoring, in particular to a big data-based method for monitoring and controlling operation signals. Background technique [0002] With the doubling of the power grid scale and the increasingly higher requirements of customers for power supply, higher requirements are put forward for the efficiency and quality of production, operation and maintenance of power supply enterprises. The power supply quality of the power grid and the improvement of the operation efficiency of the power grid are very important, and it is also a key link in the innovation of user services. The gradual increase in the number of substations, especially the line reconstruction in old urban areas and the laying of cable distribution network paths in new urban areas, has put pressure on existing lines. The long-term heavy load of the line will directly affect the reliability of the urban power supply system. The...

AI Technical Summary

Problems solved by technology

Through the method of human judgment and analysis, the requirements for the professional quality of personnel are too high, and there are errors and lack of timeliness. In serious cases, it will cause regional power supply interruptions, causing economic losses to equipment and also causing certain social impacts.

Images