Electric energy quality disturbance source judgment method based on bird flock algorithm and SVM

Abstract

The invention provides an electric energy quality disturbance source judgment method based on a bird flock algorithm and an SVM. Firstly, load current data and common node voltage data in a system arecollected, correlation coefficients of load current and common node voltage waveforms are calculated according to a Pearson correlation coefficient model, and nonlinear load and linear load discrimination evaluation indexes are established; a power increment sequence and a power increment average value of each load branch are calculated in the same time period according to the power increment model, and a dynamic load and static load discrimination evaluation index are created by comparing the power increment average values; electric energy quality responsibility evaluation indexes are created under different harmonic responsibilities according to the harmonic responsibility index model; and an analysis support vector machine function model, is created, the analysis support vector machinefunction model is substituted into a bird swarm algorithm, an optimal position is outputted, an optimal function is solvedand an electric energy quality disturbance source is identified in the powerdistribution network. Important preconditions can be provided for dividing and evaluating responsibilities of each harmonic source or flicker source, and technical guarantee is provided for user sideelectric energy quality treatment work.

Description

technical field [0001] The invention relates to the field of power quality monitoring, in particular to a method for judging power quality disturbance sources based on bird swarm algorithm and SVM. Background technique [0002] As a clean energy, electric energy is widely used in various fields. After the market-oriented reform of the power system in our country, power quality has increasingly become an important concern of relevant departments to ensure the safety and economic operation of the distribution network. [0003] With the development of power electronics technology, the power load is becoming increasingly complex and diverse. A large number of nonlinear loads exist in the distribution network, causing high-order harmonics to appear in the distribution network, causing harmonic pollution, and affecting the power quality and safe operation of the distribution network. [0004] In the document "Harmonic Responsibility Division under Different Power Quality Levels"...

AI Technical Summary

Problems solved by technology

A large number of nonlinear loads exist in the distribution network, causing high-order harmonics to appear in the distribution network, causing harmonic pollution, and affecting the power quality and safe operation of the distribution network.

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