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Abstract
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Article Information:
PSO Based Multi Objective Approach for Optimal Sizing and Placement of Distributed Generation
Ali Aref, Mohsen Davoudi, Majid Gholami, Mohammad Dosaranian Moghadam, Robabe Jahanbakhshi, Iraj Ganjkhani and Majid Davoodi
Corresponding Author: Ali Aref
Submitted: March 10, 2012
Accepted: March 30, 2012
Published: November 15, 2012 |
Abstract:
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This study presents a multi-objective formulation using Particle Swarm Optimization (PSO)
approach, for optimal placement and sizing of distributed generation (DG) resources in the power
distribution systems in order to minimize the cost of power losses and improve the voltage profile and
energy not supplied. The proposed method considers the options of the DGs installation and takes more
number of significant parameters into account compare to the previous studies which consider only a few
parameters for their optimization algorithms. Some of the so-called cost parameters considered in the
proposed approach are: loss reduction, voltage profile improvement, environmental effects, fuel price and
installation / exploitation / maintenance expenses and costs of load prediction of each bus. Using an optimal
PSO Algorithm, in the proposed optimization method, a destination function that includes all of the abovementioned
cost parameters has been optimized. This method is also capable of changing the weights of
each cost parameter in the destination function of the PSO Algorithm as well as the matrix of coefficients
in the DIGSILENT environment. The proposed method has been applied and simulated on a sample IEEE
13-bus network. The obtained results show that any change in the weight of each parameter in the
destination function of the PSO Algorithm and in the matrix of coefficients leads to a meaningful change in
the location and capacity of the prospective DG.
Key words: Cost optimization , distributed generation, DG placement, PSO algorithm, , ,
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Cite this Reference:
Ali Aref, Mohsen Davoudi, Majid Gholami, Mohammad Dosaranian Moghadam, Robabe Jahanbakhshi, Iraj Ganjkhani and Majid Davoodi, . PSO Based Multi Objective Approach for Optimal Sizing and Placement of Distributed Generation. Research Journal of Applied Sciences, Engineering and Technology, (22): 4617-4624.
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ISSN (Online): 2040-7467
ISSN (Print): 2040-7459 |
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