Detail publikačního výsledku

Comparison of PSO and GA by Optimization of Compensation of MV Network

PAAR, M.; TOMAN, P.

Originální název

Comparison of PSO and GA by Optimization of Compensation of MV Network

Anglický název

Comparison of PSO and GA by Optimization of Compensation of MV Network

Druh

Stať ve sborníku v databázi WoS či Scopus

Originální abstrakt

This article discusses the comparison of Particle Swarm Optimization and Genetic Algorithm by the utilization to optimize the shunt compensation in the middle voltage (MV) distribution network. Both algorithms look for minimum expenses of the power losses of network and minimum capital and operation costs.

Anglický abstrakt

This article discusses the comparison of Particle Swarm Optimization and Genetic Algorithm by the utilization to optimize the shunt compensation in the middle voltage (MV) distribution network. Both algorithms look for minimum expenses of the power losses of network and minimum capital and operation costs.

Klíčová slova

distribution network, genetic algorithm, particle swarm optimization, optimization, shunt compensation

Klíčová slova v angličtině

distribution network, genetic algorithm, particle swarm optimization, optimization, shunt compensation

Autoři

PAAR, M.; TOMAN, P.

Vydáno

12.06.2007

Nakladatel

VSB-TECH UNIV OSTRAVA, FEECS, DEPT ELECTR POWER ENG, 17. LISTOPADU 15, OSTRAVA, 70833, CZECH REPUBLIC

Místo

Ostrava

ISBN

978-80-248-1391-2

Kniha

PROCEEDINGS OF THE 8TH INTERNATIONAL SCIENTIFIC CONFERENCE ELECTRIC POWER ENGINEERING 2007

Strany od

257

Strany do

264

Strany počet

5

BibTex

@inproceedings{BUT24007,
  author="Martin {Paar} and Petr {Toman}",
  title="Comparison of PSO and GA by Optimization of Compensation of MV Network",
  booktitle="PROCEEDINGS OF THE 8TH INTERNATIONAL SCIENTIFIC CONFERENCE ELECTRIC POWER ENGINEERING 2007",
  year="2007",
  number="1",
  pages="257--264",
  publisher="VSB-TECH UNIV OSTRAVA, FEECS, DEPT ELECTR POWER ENG, 17. LISTOPADU 15, OSTRAVA, 70833, CZECH REPUBLIC",
  address="Ostrava",
  isbn="978-80-248-1391-2"
}