This paper aims at presenting a new methodology in order to estimate harmonic distortions in a power system, based on measurements in some given sites. The algorithm utilizes Evolutionary Strategies. This technique is a development branch of evolutionary algorithms within which genetic algorithms are included. The main advantage in using such technique relies upon its modeling facilities as well as its potential to solve fairly complex problems. Most papers available in the Scientific Literature base the problem by solving the algorithm on synchronized measurements, by means of high technology GPS power quality meters. The proposed method exposed in this paper synchronizes harmonic distortion data from various power quality meters in an offline way through a previous base case fundamental frequency load flow, what makes the power quality monitoring system much less costly. The algorithm is applied to an IEEE test case network.
Harmonic estimation; harmonic distortion; evolutionary algorithms; evolutionary strategies; power quality
