<abstract xml:lang="en" xmlns="http://www.w3.org/1999/xhtml"><p>The paper presents a new evolutionary technique for optimizing on one part the numbers, the sizes and locations of shunt capacitors in radial distribution network in away to minimize the annual cost of active power losses with the improvement of voltage profiles of different buses. The technique is applied on 10 buses network and on IEEE 34 buses network test. The results are compared with ones of previous studies using heuristiques methods and the same network tests.</p></abstract>

The paper presents a new evolutionary technique for optimizing on one part the numbers, the sizes and locations of shunt capacitors in radial distribution network in away to minimize the annual cost of active power losses with the improvement of voltage profiles of different buses. The technique is applied on 10 buses network and on IEEE 34 buses network test. The results are compared with ones of previous studies using heuristiques methods and the same network tests.

New Evolutionary Technique for Optimization Shunt Capacitors in Distribution Networks

Electrical Engineering Faculty, Laboratoire des Systémes Energitiques et Industriels, Universite des Sciences et la Technologie Houari Boumedienne, El Alia BP32 Bab Ezzouzr, Algeria

Journal of Electrical Engineering

The paper presents a new evolutionary technique for optimizing on one part the numbers, the sizes and locations of shunt capacitors in radial distribution...

New Evolutionary Technique for Optimization Shunt Capacitors in Distribution Networks

Online veröffentlicht: 01. Juli 2011

Seitenbereich: 163 - 167

DOI: https://doi.org/10.2478/v10187-011-0027-x

Schlüsselwörter
evolutionary technique, genetic algorithm, radial distribution network, shunt capacitor placement

This content is open access.

New Evolutionary Technique for Optimization Shunt Capacitors in Distribution Networks

Online veröffentlicht: 01. Juli 2011

Seitenbereich: 163 - 167

DOI: https://doi.org/10.2478/v10187-011-0027-x

Schlüsselwörterevolutionary technique, genetic algorithm, radial distribution network, shunt capacitor placement

This content is open access.

Schlüsselwörter
evolutionary technique, genetic algorithm, radial distribution network, shunt capacitor placement