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Optimal Allocation and Sizing of Distributed Generation in Radial Distribution Systems using Geolocation-Aware Heuristic Optimization

by Ali M. Al-Jumaili, Yılmaz Aslan, Celal Yaşar
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International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 183 - Number 16
Year of Publication: 2021
Authors: Ali M. Al-Jumaili, Yılmaz Aslan, Celal Yaşar
10.5120/ijca2021921491

Ali M. Al-Jumaili, Yılmaz Aslan, Celal Yaşar . Optimal Allocation and Sizing of Distributed Generation in Radial Distribution Systems using Geolocation-Aware Heuristic Optimization. International Journal of Computer Applications. 183, 16 ( Jul 2021), 26-34. DOI=10.5120/ijca2021921491

@article{ 10.5120/ijca2021921491,
author = { Ali M. Al-Jumaili, Yılmaz Aslan, Celal Yaşar },
title = { Optimal Allocation and Sizing of Distributed Generation in Radial Distribution Systems using Geolocation-Aware Heuristic Optimization },
journal = { International Journal of Computer Applications },
issue_date = { Jul 2021 },
volume = { 183 },
number = { 16 },
month = { Jul },
year = { 2021 },
issn = { 0975-8887 },
pages = { 26-34 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume183/number16/32011-2021921491/ },
doi = { 10.5120/ijca2021921491 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-07T01:16:59.635483+05:30
%A Ali M. Al-Jumaili
%A Yılmaz Aslan
%A Celal Yaşar
%T Optimal Allocation and Sizing of Distributed Generation in Radial Distribution Systems using Geolocation-Aware Heuristic Optimization
%J International Journal of Computer Applications
%@ 0975-8887
%V 183
%N 16
%P 26-34
%D 2021
%I Foundation of Computer Science (FCS), NY, USA
Abstract

With the growing need of energy and the recent concerns about global warming, attention has been brought towards the integration of renewable energy sources into existing power grids. The optimal location of the units and their sizes are significant parameters that influence the overall performance of the power grid. Most of the recent placement and sizing methods rely on using heuristic optimization algorithms, which rely on particles that are randomly deployed in the search space in order to recognize the optimal values that minimizes the cost value. In this study, a geolocation-aware representation of the power grid is proposed, which allows the optimizers to conduct a more efficient search, as the changes of the values matches the movement of the particles in the search space. Hence, the proposed approach has been able to significantly improve the performance of the optimizers, which in return has significantly improved the characteristics of the power grid. Accordingly, the proposed approach has been able to improve the IEEE 33 bus radial distribution test system by reducing the loss to 6.7KW, compared to the original 24.97, by adding two generation units, with significant improvement in the voltage profile, with minimum voltage of 0.9976 Pu and maximum and average voltage of 1Pu.

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Index Terms

Computer Science
Information Sciences

Keywords

Distributed generation Radial distribution system Optimal size Optimal location Active power losses.

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