Optimal sizing and placement of distributed generation in distribution system considering losses and THDV using gravitational search algorithm

Aida Fazliana Abdul Kadir; Azah Mohamed; Hussain Shareef; Mohd Zamri Che Wanik; Ahmad Asrul Ibrahim

Optimal sizing and placement of distributed generation in distribution system considering losses and THDV using gravitational search algorithm

Aida Fazliana Abdul Kadir, Azah Mohamed, Hussain Shareef, Mohd Zamri Che Wanik, Ahmad Asrul Ibrahim

Research output: Contribution to journal › Article › peer-review

Abstract

This paper presents a new method for determining optimal sizing and suitable placement for distributed generation (DG) in distribution system. A multi-objective function is created to minimise the total losses and average voltage total harmonic distortion (THD_v) of the distribution system. The proposed method utilizes gravitational search algorithm (GSA)in the optimization process and its performance is compared with other optimization techniques such as particle swarm optimisation (PSO) and evolutionary programming (EP). The results show that the GSA performs better than PSO and EP by giving the best fitness value and convergence rate.

Original language	English
Pages (from-to)	132-136
Number of pages	5
Journal	Przeglad Elektrotechniczny
Volume	89
Issue number	4
Publication status	Published - 2013
Externally published	Yes

Keywords

Distributed generation
Gravitational search algorithm
Harmonic distortion
Optimization

ASJC Scopus subject areas

Electrical and Electronic Engineering

Cite this

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title = "Optimal sizing and placement of distributed generation in distribution system considering losses and THDV using gravitational search algorithm",

abstract = "This paper presents a new method for determining optimal sizing and suitable placement for distributed generation (DG) in distribution system. A multi-objective function is created to minimise the total losses and average voltage total harmonic distortion (THDv) of the distribution system. The proposed method utilizes gravitational search algorithm (GSA)in the optimization process and its performance is compared with other optimization techniques such as particle swarm optimisation (PSO) and evolutionary programming (EP). The results show that the GSA performs better than PSO and EP by giving the best fitness value and convergence rate.",

keywords = "Distributed generation, Gravitational search algorithm, Harmonic distortion, Optimization",

author = "{Abdul Kadir}, {Aida Fazliana} and Azah Mohamed and Hussain Shareef and Wanik, {Mohd Zamri Che} and Ibrahim, {Ahmad Asrul}",

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T1 - Optimal sizing and placement of distributed generation in distribution system considering losses and THDV using gravitational search algorithm

AU - Abdul Kadir, Aida Fazliana

AU - Mohamed, Azah

AU - Shareef, Hussain

AU - Wanik, Mohd Zamri Che

AU - Ibrahim, Ahmad Asrul

PY - 2013

Y1 - 2013

N2 - This paper presents a new method for determining optimal sizing and suitable placement for distributed generation (DG) in distribution system. A multi-objective function is created to minimise the total losses and average voltage total harmonic distortion (THDv) of the distribution system. The proposed method utilizes gravitational search algorithm (GSA)in the optimization process and its performance is compared with other optimization techniques such as particle swarm optimisation (PSO) and evolutionary programming (EP). The results show that the GSA performs better than PSO and EP by giving the best fitness value and convergence rate.

AB - This paper presents a new method for determining optimal sizing and suitable placement for distributed generation (DG) in distribution system. A multi-objective function is created to minimise the total losses and average voltage total harmonic distortion (THDv) of the distribution system. The proposed method utilizes gravitational search algorithm (GSA)in the optimization process and its performance is compared with other optimization techniques such as particle swarm optimisation (PSO) and evolutionary programming (EP). The results show that the GSA performs better than PSO and EP by giving the best fitness value and convergence rate.

KW - Distributed generation

KW - Gravitational search algorithm

KW - Harmonic distortion

KW - Optimization

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JO - Przeglad Elektrotechniczny

JF - Przeglad Elektrotechniczny

IS - 4

ER -

Optimal sizing and placement of distributed generation in distribution system considering losses and THDV using gravitational search algorithm

Abstract

Keywords

ASJC Scopus subject areas

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