Analyzing of the Power Quality Disturbance Detection Based on Prediction Mechanism

CHEN Qi; LIU Shu-kui

doi:10.14044/j.1674-1757.pcrpc.2013.06.016

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Analyzing of the Power Quality Disturbance Detection Based on Prediction Mechanism

更新时间：2024-09-14

- Analyzing of the Power Quality Disturbance Detection Based on Prediction Mechanism
- POWER CAPACITOR & REACTIVE POWER COMPENSATION Vol. 34, Issue 6, Pages: 80-83(2013)
- 作者机构：
  
  成都电业局
- 作者简介：
- 基金信息：
- DOI：10.14044/j.1674-1757.pcrpc.2013.06.016
  CLC： TM711
- Published：2013，
- 稿件说明：
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[1]陈琪,刘述奎.基于预测机制下的电能质量扰动检测分析[J].电力电容器与无功补偿,2013,34(06):80-83.

CHEN QI, LIU SHU-KUI. Analyzing of the Power Quality Disturbance Detection Based on Prediction Mechanism. [J]. Power capacitor & reactive power compensation, 2013, 34(6): 80-83.
[1]陈琪,刘述奎.基于预测机制下的电能质量扰动检测分析[J].电力电容器与无功补偿,2013,34(06):80-83. DOI： 10.14044/j.1674-1757.pcrpc.2013.06.016.

CHEN QI, LIU SHU-KUI. Analyzing of the Power Quality Disturbance Detection Based on Prediction Mechanism. [J]. Power capacitor & reactive power compensation, 2013, 34(6): 80-83. DOI： 10.14044/j.1674-1757.pcrpc.2013.06.016.

摘要

进行电能质量扰动分析、扰动治理设备参数调整以及经济调度控制策略制定需要的准确实时可靠的数据信息

将基于全极点模型的线性预测优化算法（LPC）成功引入到电能质量扰动中。线性预测的电能扰动检测系统

其可以通过对样本数据信息自动学习获得误差最小的线性预测模型

以实现对电能质量扰动的在线分析检测。通过试验仿真分析表明

应用线性预测模型对电能质量扰动信号的检测和扰动起始时间、持续时间以及扰动工况点特性数据的提取是可行和有效的

该装置有很好的实用价值和应用前景。

Abstract

In order to carry out the analysis of power quality disturbance

adjust the disturbance control equipment parameters and formulate the economic dispatching control strategy

a reasonable and precise data should be obtained

based on a novel method based on all pole model--Linear Predictive Coding（ LPC） model. With the LPC error minimization self learning model method the power quality disturbance signal can be detected and analyzed online. The result shows the availability and effectiveness of the proposed LPC method on detecting the power quality disturbance signal and analyzing the start time

duration and the conditions characteristic data

this device has good practical value and application prospect.

关键词

电网电能质量扰动信号线性预测检测

Keywords

power gridpower qualitydisturbance signallinear predictiondetection

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Related Institution

Electric Power Research Institute of Guangxi Power Grid Co., Ltd.

State Key Laboratory of Alternate Electrical Power System with Renewable Energy Sources, North China Electric Power University

Zhongshan Qiaoyuan Power Technology Co., Ltd.

Guangxi Key Laboratory of Intelligent Control and Maintenance of Power Equipment

Baotou Power Supply Bureau,Baotou Neimenggu

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