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Abstract
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Article Information:
Multiobjective Optimization of DGs with Considering Power Loss Reduction with Genetic Algorithm (GA)
Mohammad Mohammadi
Corresponding Author: Mohammad Mohammadi
Submitted: 2011 July, 26
Accepted: 2011 December, 06
Published: 2012 February, 01 |
Abstract:
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One of the remarkable phenomena in power systems is the appearance of Distributed Generation
(DGs). DGs may reduce the power loss in feeders. So, they increase the efficiency of the system more over.
DGs also can improve voltage profile of system. In this study Genetic Algorithm (GA) is used to obtain optimal
number, capacity and location of DGs for radial distribution networks. First of all GA is used for optimal
placement and capacity of DGs the network. A composite power loss index with net present worth of
distribution generation as DG and Distribution Company named DISCO is defined as the objective function
in the optimization procedure. This method was carried out on a modified 33-feeder distribution network.
Simulation results validate the effectiveness of the proposed method. This study was performed on 33 feeder
IEEE test power system.
Key words: Distributed generation, economic analysis, index terms-genetic algorithm, optimization, power loss, ,
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Cite this Reference:
Mohammad Mohammadi, . Multiobjective Optimization of DGs with Considering Power Loss Reduction with Genetic Algorithm (GA). Research Journal of Applied Sciences, Engineering and Technology, (03): 145-151.
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ISSN (Online): 2040-7467
ISSN (Print): 2040-7459 |
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