Load instantaneous energy feature-based power grid electric energy load monitoring method

Abstract

The invention relates to a load instantaneous energy feature-based power grid electric energy load monitoring method. The method includes the following steps that: sampling and monitoring are performed at the electric power supply entrance of a power grid, so that voltage discrete signals and current discrete signals can be obtained; discrete wavelet transformation decomposition is performed on the collected voltage discrete signals and current discrete signals, so that wavelet feature discrete signals corresponding to the voltage discrete signals and current discrete signals respectively can be obtained; instantaneous voltage and instantaneous current of the electric power supply entrance are calculated according to the wavelet feature discrete signals; and the load instantaneous energy features of the sampling site are calculated and are determined, and the load instantaneous energy features are adopted as electric energy load identification features of the electric power supply entrance, and a non-intrusive load monitoring load analysis model method is adopted to execute the electric energy load monitoring of the power grid. The monitoring method of the invention can be used for characterizing types and performance features of loads and can be beneficial to the improvement of the electric energy load monitoring of the power grid. With the method adopted, the processing process of the extraction of the load instantaneous energy features at the electric power supply entrance is not complicated, and the amount of calculation is small, and the improvement of the overall efficiency of the electric energy load monitoring of the power grid can be benefitted.

Description

technical field [0001] The invention relates to the technical field of power system monitoring and planning, in particular to a power grid electric energy load monitoring method based on load instantaneous energy characteristics. Background technique [0002] At present, the development of the power system has become an important part of the national economy and people's livelihood. According to statistics, my country's electricity consumption is also increasing year by year with the development of the economy. At the same time, the traditional power industry is changing to a highly intensive, highly knowledge-based, and highly technological direction, and the power grid has become one of the largest and most complex machines in the world. With the continuous reduction of traditional energy sources and the increasing energy demand with the continuous development of the global economy, efficient and optimized use of energy is very important. The efficient and optimal utiliz...

AI Technical Summary

Problems solved by technology

However, there are relatively few studies on the extraction of load transient characteristics in non-intrusive load monitoring. If the selection of load transient characteristics is not correct enough, it is difficult to accurately retain and reflect the individual characteristics of the load operation process, or to analyze the load transient characteristics. If the extraction of state characteristics is not prepared enough, it will affect the accuracy of grid power load monitoring

At the same time, since the extraction of load transient characteristics is relatively difficult, how to extract the required load transient characteristics through fewer operations is also an important factor in improving the overall efficiency of load monitoring

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