Passive Power Filters Harmonic and Power Quality Optimization Analysis Using Multiobject Optimization Algorithm
Keywords:
passive filters, power system harmonics, genetic algorithmsAbstract
Continuous technological development facilitates the increase in the number of nonlinear loads that significantly affect the power quality in a power system and, consequently, the quality of the electric power delivered to other customers. One of the most common methods to prevent adverse effects of nonlinear loads on the power network is the use of passive filters. Design of such filter can be regarded as a multi-criterial optimisation task, to which genetic algorithms can be employed. Watching recent tendencies in science can be observed an increasing number of "artificial intelligence" applications to practical solutions. It has been therefore decided to apply genetic algorithms (GA) to passive power filter design as an example of GA usefulness for technical issues. The paper presents passive filter structures designed using a program developed by the author in the MATLAB environment employing genetic algorithm. Two methods of approaching the design goal are presented - traditional and GA.
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