A method and system for filtering power signals in energy decomposition

Abstract

The invention discloses a power signal filter method and system in energy decomposition. The filter method comprises the following steps: acquiring an actually measured power signal sequence and a multi-scale decomposition layer number; determining a filtered actually measured power signal sequence of each layer according to the multi-scale decomposition layer number and a stop frequency of a multilayer low-pass filter; determining a time window length of the current layer according to the filtered actually measured power signal sequence of the current layer; constructing an analysis sequence;determining a pseudo Wigner-Ville distribution of the analysis sequence under the time window length of the current layer; recovering the filtered actually measured power signal sequence of each layer according to the pseudo Wigner-Ville distribution, and determining a recovered actually measured power signal sequence; and starting from the last layer of the multi-scale decomposition layers, andfiltering out unsteady non-Gaussian noise in actually measured power signals according to the recovered actually measured power signal sequence of the current layer and an interpolated actually measured power signal sequence of the previous layer. The power signal filter method disclosed by the invention can effectively filter out the unsteady non-Gaussian noise in the actually measured power signals.

Description

technical field [0001] The invention relates to the field of electric power, in particular to a power signal filtering method and system in energy decomposition. Background technique [0002] With the development of smart grid, the analysis of household electricity load is becoming more and more important. Through the analysis of electricity load, household users can obtain the electricity consumption information of each appliance in time, as well as the detailed list of electricity charges; the power department can Obtain more detailed user electricity consumption information, improve the accuracy of electricity load forecasting, and provide a basis for overall planning for the power sector; at the same time, use the electricity consumption information of each appliance to know the user's electricity consumption behavior, which is of great importance to Research on household energy consumption assessment and energy-saving strategies has guiding significance. [0003] Load ...

AI Technical Summary

Problems solved by technology

[0005] The purpose of the present invention is to provide a power signal filtering method and system in energy decomposition to solve the problem of low filtering efficiency of non-stationary and non-Gaussian noise in the measured power signal, which seriously affects the detection of switching events

Images