Comparative analysis of optimal allocation for different wind distributed generation models using stochastic approach

Issue Date

2016

Abstract

Due to the benefits of distributed generation (DG), in particular wind DG on a power system, researches on its optimal allocation increased. However, most of these studies failed to incorporate the stochastic nature of wind which could lead to an erroneous result for not considering uncertainties. To address these uncertainties, different wind DG models are used. This paper compares how optimal allocation varies for different wind DG models which includes wind data to account the DG intermittency. Genetic algorithm was used to determine the optimal site and size of the DG. The study was implemented in IEEE 37-bus test system using MATLAB. Among the four models considered, constant power factor-lagging model provided the highest power loss reduction. The real and reactive power loss was reduced by 45.50% and 56.73%, respectively. Total voltage deviation of phases A, B, and C were reduced to 0.6078 p.u., 0.3010 p.u., and 0.8666 p.u., respectively.

Source or Periodical Title

IEEE PES Innovative Smart Grid Technologies Conference Europe

Page

46-51

Document Type

Conference Paper

Physical Description

illustrations, graphs

Language

English

Subject

Distributed Generation, Genetic Algorithm, Optimal Allocation, Power Loss Reduction, Wind DG Model

Identifier

DOI:10.1109/ISGT-Asia.2016.7796359.

Digital Copy

yes

Link to Full Text

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