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Abstract
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Article Information:
Probabilistic Optimal Allocation and Sizing of Distributed Generation
M. Hosseinzadeh and H. Afrakhte
Corresponding Author: H. Afrakhte
Submitted: November 12, 2012
Accepted: January 17, 2013
Published: January 20, 2014 |
Abstract:
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The optimal allocation of Distributed Generation (DG) in distribution system is one of the important parts of DG research studies so as to maximize its benefits. For this purpose, a probabilistic approach is proposed in this study to consider time varying load demands as uncertain parameters of distribution system. It is assumed that each load point consists of three categories of voltage dependent loads: residential, industrial and commercial. The proposed algorithm is based on a probabilistic load flow solved by Point Estimate Method (PEM). The objective function is considered as a combination of active power loss, reactive power loss and voltage profiles indices. To solve the optimization problem, an Invasive Weed Optimization (IWO) technique is adopted and the optimal location and size of different types of DG are obtained. Examining on a test distribution system, the performance of the proposed approach is assessed and illustrated.
Key words: DG allocation and sizing, Invasive Weed Optimization (IWO), Point Estimate Method (PEM), voltage dependent load, , ,
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Cite this Reference:
M. Hosseinzadeh and H. Afrakhte, . Probabilistic Optimal Allocation and Sizing of Distributed Generation. Research Journal of Applied Sciences, Engineering and Technology, (3): 430-437.
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ISSN (Online): 2040-7467
ISSN (Print): 2040-7459 |
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