# Genetic and combinatorial algorithms for optimal sizing and placement of active power filters

Marcin Maciążek; Dariusz Grabowski; Marian Pasko

International Journal of Applied Mathematics and Computer Science (2015)

- Volume: 25, Issue: 2, page 269-279
- ISSN: 1641-876X

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topMarcin Maciążek, Dariusz Grabowski, and Marian Pasko. "Genetic and combinatorial algorithms for optimal sizing and placement of active power filters." International Journal of Applied Mathematics and Computer Science 25.2 (2015): 269-279. <http://eudml.org/doc/270449>.

@article{MarcinMaciążek2015,

abstract = {The paper deals with cost effective compensator placement and sizing. It becomes one of the most important problems in contemporary electrical networks, in which voltage and current waveform distortions increase year-by-year reaching or even exceeding limit values. The suppression of distortions could be carried out by means of three types of compensators, i.e., passive filters, active power filters and hybrid filters. So far, passive filters have been more popular mainly because of economic reasons, but active and hybrid filters have some advantages which should cause their wider application in the near future. Active power filter placement and sizing could be regarded as an optimization problem. A few objective functions have been proposed for this problem. In this paper we compare solutions obtained by means of combinatorial and genetic approaches. The theoretical discussion is followed by examples of active power filter placement and sizing.},

author = {Marcin Maciążek, Dariusz Grabowski, Marian Pasko},

journal = {International Journal of Applied Mathematics and Computer Science},

keywords = {power quality; optimization; active power filters; harmonics; genetic algorithms; combinatorial algorithms},

language = {eng},

number = {2},

pages = {269-279},

title = {Genetic and combinatorial algorithms for optimal sizing and placement of active power filters},

url = {http://eudml.org/doc/270449},

volume = {25},

year = {2015},

}

TY - JOUR

AU - Marcin Maciążek

AU - Dariusz Grabowski

AU - Marian Pasko

TI - Genetic and combinatorial algorithms for optimal sizing and placement of active power filters

JO - International Journal of Applied Mathematics and Computer Science

PY - 2015

VL - 25

IS - 2

SP - 269

EP - 279

AB - The paper deals with cost effective compensator placement and sizing. It becomes one of the most important problems in contemporary electrical networks, in which voltage and current waveform distortions increase year-by-year reaching or even exceeding limit values. The suppression of distortions could be carried out by means of three types of compensators, i.e., passive filters, active power filters and hybrid filters. So far, passive filters have been more popular mainly because of economic reasons, but active and hybrid filters have some advantages which should cause their wider application in the near future. Active power filter placement and sizing could be regarded as an optimization problem. A few objective functions have been proposed for this problem. In this paper we compare solutions obtained by means of combinatorial and genetic approaches. The theoretical discussion is followed by examples of active power filter placement and sizing.

LA - eng

KW - power quality; optimization; active power filters; harmonics; genetic algorithms; combinatorial algorithms

UR - http://eudml.org/doc/270449

ER -

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