An application of artificial bee colony algorithm with least squares support vector machine for real and reactive power tracing in deregulated power system

Mohd Herwan Sulaiman, Mohd Wazir Mustafa, Hussain Shareef, Saiful Nizam Saiful

Research output: Contribution to journalArticlepeer-review

58 Citations (Scopus)

Abstract

This paper presents a new method for real and reactive power tracing in a deregulated power system by introducing the hybrid artificial bee colony (ABC) algorithm and least squares support vector machine (LS-SVM), namely as ABC-SVM. The idea is to use ABC algorithm to obtain the optimal values of regularization parameter, γ and Kernel RBF parameter, σ 2, which are embedded in LS-SVM toolbox and adopt a supervised learning approach to train the LS-SVM model. The technique that uses Superposition method is utilized as a teacher. Based on power flow solution and power tracing procedure by Superposition method, the description of input-output for training and testing data are created. The generators' contributions to real and reactive loads in the test system are expected can be traced accurately by proposed ABC-SVM model. In this paper, IEEE-14 bus system is used to illustrate the effectiveness of the proposed ABC-SVM model compared to that of Superposition method. The comparison with the cross-validation (CV) technique and other hybrid technique to obtain the hyper-parameters also has been presented in this paper.

Original languageEnglish
Pages (from-to)67-77
Number of pages11
JournalInternational Journal of Electrical Power and Energy Systems
Volume37
Issue number1
DOIs
Publication statusPublished - May 2012
Externally publishedYes

Keywords

  • Artificial bee colony algorithm
  • Least squares support vector machine
  • Superposition method

ASJC Scopus subject areas

  • Energy Engineering and Power Technology
  • Electrical and Electronic Engineering

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