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All Journal IAES International Journal of Artificial Intelligence (IJ-AI) Indonesian Journal of Electrical Engineering and Computer Science
Esmaeel Rokrok
Lorestan University
Computer Science & IT Engineering

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A New DG Allocation Approach Based on Biogeography-Based Optimization with Considering Fuzzy Load Uncertainty Mohammad Sedaghat; Esmaeel Rokrok; Mohammad Bakhshipour
IAES International Journal of Artificial Intelligence (IJ-AI) Vol 4, No 3: September 2015
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (510.733 KB) | DOI: 10.11591/ijai.v4.i3.pp89-96

Abstract

A new distributed generation placement method based on biogeography-based optimization (BBO) is investigated in this paper. A significant novelty of this study lies in considering fuzzy load uncertainty. For this purpose a fuzzy backward- forward sweep load flow is proposed. The main objectives of this study is minimizing power losses and improving voltage profile. A comparative study between optimal location and sizing under typical load condition and fuzzy load uncertainty is presented. To verify the efficiency of proposed BBO method, it is conducted on IEEE 33 bus distribution system, also a comparative study between proposed BBO approach and particle swarm optimization (PSO), Technical-learning based optimization (TLBO), Artificial bee colony (ABC), Imperialist competitive algorithm (ICA) is investigated. The simulation results show the excellent and superior performance of proposed BBO approach in comparison with the other intelligent methods.
A Novel Method Based on Biogeography-Based Optimization for DG Planning in Distribution System Mohammad Sedaghat; Esmaeel Rokrok; Mohammad Bakhshipour
Indonesian Journal of Electrical Engineering and Computer Science Vol 15, No 1: July 2015
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar

Abstract

This paper proposed a novel technique based on biogeography-based optimization (BBO) algorithm in order to optimal placement and sizing of distinct types of Distributed Generation (DG) units in the distribution networks which is applied to improve voltage profile as the main factor for power quality improvement and reduce power losses. In order to promote the investigation to be capable in practical terms, the loads are linearly varied in small steps of 1% from 50% to 150% of the base value. The optimal size and location of distinct types of DGs are found out in each load step. This will aid the distribution network operators (DNOs) to have a long term scheduling for the optimal management of DG units and achieve the maximum performance. To verify the efficiency of proposed method, it has been conducted to IEEE 33-bus radial distribution system. Also, simulation results are compared with the analytical approach and HPSO algorithm (mixed binary and typical particle swarm optimization algorithm). The obtained simulation results demonstrate the better performance and effectiveness of the proposed method. DOI: http://dx.doi.org/10.11591/telkomnika.v15i1.8083 
Co-Authors Mohammad Bakhshipour Mohammad Bakhshipour Mohammad Sedaghat