DSP在电力系统谐波电流畸变自适应检测中的应用

2019 International Conference on Power, Energy and Innovations (ICPEI) Pub Date : 2019-10-01 DOI:10.1109/ICPEI47862.2019.8944987

Chanchai Prugpadee, S. Woothipatanapan, N. Rugthaicharoencheep

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引用次数: 0

摘要

本文的研究是为了开发一种更可靠的电力系统谐波电流畸变检测技术。提出了噪声信号处理理论之一——自适应噪声消去理论，应用于谐波电流的自适应检测。自适应噪声消去算法有很多，其中最常用的是均方算法和递归最小二乘算法。本文采用美国德州仪器公司的数字信号处理器TMS320C6713实现了电力系统谐波电流畸变的自适应检测。利用MATLAB Simulink软件仿真TMS320C6713进行谐波电流检测。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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DSP Applications for Adaptive Detection of Harmonic Current Distortions in Power System

This study is to develop a more reliable technology to detect harmonic current distortion in electrical system correctly. We develop one of noise signal processing theory, the adaptive noise obliteration theory to apply for this adaptive detection harmonic current. There are many algorithms are used in adaptive noise obliteration, which lease mean square (LMS) and recursive least square (RLS) both are most be used. This work implemented Digital Signal Processor (DSP) TMS320C6713 by Texas Instruments to adaptive detection of harmonic current distortions in power system. The MATLAB Simulink software is used for simulated TMS320C6713 to detect harmonic current.

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2019 International Conference on Power, Energy and Innovations (ICPEI)

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