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All Journal Indonesian Journal of Electrical Engineering and Computer Science
M. H. Hussain
Universiti Malaysia Perlis (UniMAP)

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Multiple DG Planning Considering Distribution Loss and Penetration Level using EMEFA-ANN Method S. R. A. Rahim; I. Musirin; M. M. Othman; M. H. Hussain
Indonesian Journal of Electrical Engineering and Computer Science Vol 7, No 1: July 2017
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijeecs.v7.i1.pp1-8

Abstract

This paper presents the implementation of multiple distributed generation planning in distribution system using computational intelligence technique. A pre-developed computational intelligence optimization technique named as Embedded Meta EP-Firefly Algorithm (EMEFA) was utilized to determine distribution loss and penetration level for the purpose of distributed generation (DG) installation. In this study, the Artificial Neural Network (ANN) was used in order to solve the complexity of the multiple DG concept. EMEFA-ANN was developed to optimize the weight of the ANN to minimize the mean squared error. The proposed method was validated on IEEE 69 Bus distribution system with several load variations scenario. The case study was conducted based on the multiple unit of DG in distribution system by considering the DGs are modeled as type I which is capable of injecting real power. Results obtained from the study could be utilized by the utility and energy commission for loss reduction scheme in distribution system.
Integration of distributed generation and compensating capacitor in radial distribution system via firefly algorithm N. Khuan; S. R. A. Rahim; M. H. Hussain; A. Azmi; S. A. Azmi
Indonesian Journal of Electrical Engineering and Computer Science Vol 16, No 1: October 2019
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijeecs.v16.i1.pp67-73

Abstract

This paper presents an integration of distributed generation and capacitor in radial distribution system via Firefly Algorithm (FA).  In this study, the FA is developed in order to determine the optimal location and size for compensation schemes namely distributed generation (DG) and compensating capacitor (CC). The FA which is a meta-heuristic algorithm is inspired by the flashing behavior of fireflies. The proposed technique was tested on IEEE Reliability Test systems namely the IEEE 69-bus and the program was developed using the MATLAB programming software. The results shown a significant reduction in the line losses and voltage profile improvement has been obtained with the installation of distributed generation and capacitor in the system.
Co-Authors A. Azmi I. Musirin M. M. Othman N. Khuan S. A. Azmi S. R. A. Rahim