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Sina Khajeh Ahmad Attari
Lorestan University

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A Comprehensive Study on Specifying an Intelligent Approach to Solve Network Reconfiguration Problem Mahmoud Reza Shakarami; Sina Khajeh Ahmad Attari; Farhad Namdari
Indonesian Journal of Electrical Engineering and Computer Science Vol 1, No 3: March 2016
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijeecs.v1.i3.pp480-489

Abstract

This paper presents an approach based on biogeography-based optimization (BBO) algorithm to solve the distribution network reconfiguration (DNR) problem for minimizing active power loss. Also it is demonstrated that with considering the nature of reconfiguration problem, among the intelligent algorithms, BBO approach could result the best performance. One of the remarkable advantages of this study is comparing seven different intelligent algorithms in solving network reconfiguration problem. This comparison, not only includes final fitness in optimization process, but also considers number of function evaluation (NFE). The effectiveness of the BBO method has been tested on two different distribution systems and the obtained simulation results are compared with Genetic algorithm (GA), Particle swarm optimization (PSO), Artificial bee colony (ABC), Gravitational search algorithm (GSA), Technical learning based optimization (TLBO) and Cuckoo algorithm (CA). The comparison results show that BBO approach can be an efficient and promising method for solving DNR problems.
Pareto Optimal Reconfiguration of Power Distribution Systems with Load Uncertainty and Recloser Placement Simultaneousely Using a Genetic Algorithm Based on NSGA-II Sina Khajeh Ahmad Attari; Mahmoud rReza Shakarami; Farhad Namdari
Indonesian Journal of Electrical Engineering and Computer Science Vol 1, No 3: March 2016
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijeecs.v1.i3.pp419-430

Abstract

Reconfiguration, by exchanging the functional links between the elements of the system, represents one of the most important measures which can improve the operational performance of a distribution system. Besides, reclosers use to eliminate transient faults, faults isolation, network management and enhance reliability to reduce customer outages. For load uncertainty a new method based on probabilistic interval arithmetic approach is used to incorporate uncertainty in load demand that can forecast reasonably accurate operational conditions of radial system distribution (RDS) with better computational efficiency. In this paper, the optimization process is performed by considering power loss reduction along with reliability index as objective functions. Simulation results on radial 33 buses test system indicates that simultaneous optimization of these two issues has significant impact on system performance.
Co-Authors Farhad Namdari Mahmoud Reza Shakarami Mahmoud rReza Shakarami