A fuzzy logic application for identification of harmonics disturbances sources

S. M. Nawi, J. Johari, A. F. Abidin
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引用次数: 18

Abstract

This paper represented an application of fuzzy logic to power quality issue. It describes the sources of harmonics detected, by using fuzzy sets and IF-THEN inferences rules. Harmonics can create unwanted impacts on power systems and to end-users. Electrical utilities, manufactures and customers have been bothered by harmonic distortion problems in power system. The harmonics is based on power quality and according to the IEEE 519-1992. The harmonic signals and spectrum are determined by the application of a fast Fourier transform (FFT). A fuzzy inference system is experimentally implemented for these cases, showing the general procedures of how to use this theory. It appears that fuzzy set theory can play an important rule in diagnosing power quality disturbances, and hence it can offer insights towards the satisfaction of the needs of manufacturers, utilities and customers.
模糊逻辑在谐波干扰源识别中的应用
本文介绍了模糊逻辑在电能质量问题中的应用。利用模糊集和IF-THEN推理规则对检测到的谐波源进行描述。谐波会对电力系统和终端用户造成不必要的影响。电力系统中的谐波失真问题一直困扰着电力公司、制造商和用户。谐波是基于电能质量,并根据IEEE 519-1992。谐波信号和频谱由快速傅里叶变换(FFT)确定。针对这些情况,实验实现了一个模糊推理系统,展示了如何使用该理论的一般步骤。由此可见,模糊集理论在诊断电能质量扰动方面可以发挥重要作用,因此它可以为满足制造商、公用事业公司和客户的需求提供见解。
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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