Fuzzy linear regression for measurement of harmonic components in a power system
Soliman S.A.; Ibrahim Helal; Al-Kandari A.M;
Abstract
The paper presents a new approach for the measurement of power system harmonic components and is based on fuzzy linear regression. In this approach, the non-sinusoidal voltage or current waveform is written as a linear function. The coefficients of this function are assumed to be fuzzy numbers having a certain middle and spread value. The problem is formulated as a linear optimization problem, where the objective is to minimize the spread of voltage or current samples. Effects of critical parameters on the proposed algorithm are studied in the text. The proposed approach is tested using several numerical tests, which form the basis to our conclusions at the end of the paper.
Other data
Title | Fuzzy linear regression for measurement of harmonic components in a power system | Authors | Soliman S.A.; Ibrahim Helal ; Al-Kandari A.M | Keywords | Algorithms; Electric currents; Electric potential; Functions; Fuzzy sets; Harmonic analysis; Numerical analysis; Optimization; Regression analysis; Waveform analysis;Fuzzy linear regression analysis;Electric power systems | Issue Date | 18-May-1999 | Publisher | Elsevier Sequoia SA | Journal | Electric Power Systems Research | Volume | 50 | Issue | 2 | Start page | 99 | End page | 105 | DOI | 10.1016/S0378-7796(98)00101-1 |
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