Intelligent power grid load testing and recognition method based on steady state and transient state characteristic joint matching

Abstract

The invention discloses an intelligent power grid load testing and recognition method based on steady state and transient state characteristic joint matching. A typical intelligent power grid load is selected to conduct the data collection and feature analysis, and a load characteristic data base is established; user power consumption data are obtained through an intelligent electric meter in an intelligent power grid end-user circuit breaker layer; a collection data line is preprocessed, and power utilization switch events are detected; the switch events are conducted with clustering by utilizing clustering algorithm, and each cluster corresponds to a kind of start-stop behavior of an electricity load; the clustered switch events are conducted with load recognition; a recognition result is conducted with result checking by utilizing steady state harmonic current feature analysis, and the recognition result is updated. The intelligent power grid load testing and recognition method based on the steady state and transient state characteristic joint matching can detect the type and the service condition of load equipment on the basis that the normal operation of an intelligent power grid and normal use for a user are not affected, not only contributes to the load side management of the intelligent power grid, but also is beneficial to strengthening demand side management and has great significance for achieving optimizing configuration of electric power resources and the load.

Description

Technical field: [0001] The invention relates to the field of real-time monitoring and optimal control of smart grids, in particular to a method for detecting and identifying electric loads aimed at smart grids. Background technique: [0002] Smart grid uses information network technology to monitor and optimize the power generation, power distribution and power consumption equipment in the power network in real time, so as to achieve energy saving, emission reduction and other goals. Power system monitoring technology is the foundation of smart grid, and load monitoring is an important component of power system monitoring. By monitoring the system load, load monitoring helps the power grid understand the load operation situation, strengthen load-side management to achieve power grid optimization; load monitoring in the context of smart grid is also conducive to demand-side management, guide users to consume reasonably, and reduce electricity costs At the same time, it also...

AI Technical Summary

Problems solved by technology

[0004] The general load detection method only uses a single feature, which has many disadvantages. However, due to the single function of the data acquisition equipment, it is necessary to install a variety of data acquisition equipment to obtain multi-dimensional features.

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