Harmonics estimation in emerging power system: Key issues and challenges

In recent years, fuzzy set theory applications have received increasing attention in various areas of power systems such as operation, planning, and control. A number of research articles appeared which indicate applicability of fuzzy systems to power systems for wider operating conditions under uncertainties. While most of these systems are still under investigation, however, there already exist several practical applications of fuzzy systems. This paper presents a comprehensive set of references on fuzzy set theory applications in power systems.

Bibliography on the fuzzy set theory applications in power systems (1994-2001)

A robust support vector algorithm for harmonic and interharmonic analysis of electric power system

Power quality involves how close the voltage waveform is to being a perfect sinusoid with a constant frequency and amplitude. In this paper, we review the applications of linear Kalman filtering algorithm on-line for electric power quality analysis. These applications include the measurement of harmonics and voltage sags. Mathematical models for each problem are developed to suite the filter and tested using simulated examples. Conclusions are drawn at the end of the text.

A.M. Al-Kandari

Papers

Fuzzy linear regression for measurement of harmonic components in a power system