Capacitor placement of distribution systems using particle swarm optimization approaches

•Capacitor placement plays an important role in distribution system planning and operation.•The capacitor placement problem is a combinatorial optimization problem.•This paper presents a new capacitor placement method which employs particle swarm optimization. Capacitor placement plays an important...

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Vydané v:International journal of electrical power & energy systems Ročník 64; s. 839 - 851
Hlavní autori: Lee, Chu-Sheng, Ayala, Helon Vicente Hultmann, Coelho, Leandro dos Santos
Médium: Journal Article
Jazyk:English
Vydavateľské údaje: Elsevier Ltd 01.01.2015
Predmet:
Capacitor placement
Capacitors
Chaos theory
Combinatorial analysis
Electric potential
Energy distribution
Gaussian probability distribution
Mathematical models
Particle swarm optimization
Placement
Swarm intelligence
Voltage
Capacitor placement
Chaos theory
Particle swarm optimization
Gaussian probability distribution
ISSN:0142-0615, 1879-3517
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Shrnutí:•Capacitor placement plays an important role in distribution system planning and operation.•The capacitor placement problem is a combinatorial optimization problem.•This paper presents a new capacitor placement method which employs particle swarm optimization. Capacitor placement plays an important role in distribution system planning and operation. In distribution systems of electrical energy, banks of capacitors are widely installed to compensate the reactive power, reduce the energy loss in system, voltage profile improvement, and feeder capacity release. The capacitor placement problem is a combinatorial optimization problem having an objective function composed of power losses and capacitor installation costs subject to bus voltage constraints. Recently, many approaches have been proposed to solve the capacitor placement problem as a mixed integer programming problem. This paper presents a new capacitor placement method which employs particle swarm optimization (PSO) approaches with operators based on Gaussian and Cauchy probability distribution functions and also in chaotic sequences for a given load pattern of distribution systems. The proposed approaches are demonstrated by two examples of application. Simulation results show that the proposed method can achieve an optimal solution as the exhaustive search can but with much less computational time.
Bibliografia:ObjectType-Article-1
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ISSN:0142-0615
1879-3517
DOI:10.1016/j.ijepes.2014.07.069