User-friendly tool for power flow analysis and distributed generation optimisation in radial distribution networks

The intent of power distribution companies (DISCOs) is to deliver electric power to their customers in an efficient and reliable manner – with minimal energy loss cost. One major way to minimise power loss on a given power system is to install distributed generation (DG) units on the distribution ne...

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Main Authors: Akorede, M. F., Hizam, H., Aris, I., Kadir, M. Z. A. Ab, Hojabri, M.
Format: Article
Language:English
Published: Faculty of Engineering & Technology, University of Ilorin, Ilorin, Nigeria 2017
Online Access:http://psasir.upm.edu.my/id/eprint/63655/1/User-friendly%20tool%20for%20power%20flow%20analysis%20and%20distributed%20generation%20optimisation%20in%20radial%20distribution%20networks.pdf
http://psasir.upm.edu.my/id/eprint/63655/
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Institution: Universiti Putra Malaysia
Language: English
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spelling my.upm.eprints.636552018-11-07T08:30:51Z http://psasir.upm.edu.my/id/eprint/63655/ User-friendly tool for power flow analysis and distributed generation optimisation in radial distribution networks Akorede, M. F. Hizam, H. Aris, I. Kadir, M. Z. A. Ab Hojabri, M. The intent of power distribution companies (DISCOs) is to deliver electric power to their customers in an efficient and reliable manner – with minimal energy loss cost. One major way to minimise power loss on a given power system is to install distributed generation (DG) units on the distribution networks. However, to maximise benefits, it is highly crucial for a DISCO to ensure that these DG units are of optimal size and sited in the best locations on the network. This paper gives an overview of a software package developed in this study, called Power System Analysis and DG Optimisation Tool (PFADOT). The main purpose of the graphical user interface-based package is to guide a DISCO in finding the optimal size and location for DG placement in radial distribution networks. The package, which is also suitable for load flow analysis, employs the GUI feature of MATLAB. Three objective functions are formulated into a single optimisation problem and solved with fuzzy genetic algorithm to simultaneously obtain DG optimal size and location. The accuracy and reliability of the developed tool was validated using several radial test systems, and the results obtained are evaluated against the existing similar package cited in the literature, which are impressive and computationally efficient. Faculty of Engineering & Technology, University of Ilorin, Ilorin, Nigeria 2017 Article PeerReviewed text en http://psasir.upm.edu.my/id/eprint/63655/1/User-friendly%20tool%20for%20power%20flow%20analysis%20and%20distributed%20generation%20optimisation%20in%20radial%20distribution%20networks.pdf Akorede, M. F. and Hizam, H. and Aris, I. and Kadir, M. Z. A. Ab and Hojabri, M. (2017) User-friendly tool for power flow analysis and distributed generation optimisation in radial distribution networks. Nigerian Journal of Technological Development, 14 (1). 23 - 33. ISSN 2437-2110
institution Universiti Putra Malaysia
building UPM Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Putra Malaysia
content_source UPM Institutional Repository
url_provider http://psasir.upm.edu.my/
language English
description The intent of power distribution companies (DISCOs) is to deliver electric power to their customers in an efficient and reliable manner – with minimal energy loss cost. One major way to minimise power loss on a given power system is to install distributed generation (DG) units on the distribution networks. However, to maximise benefits, it is highly crucial for a DISCO to ensure that these DG units are of optimal size and sited in the best locations on the network. This paper gives an overview of a software package developed in this study, called Power System Analysis and DG Optimisation Tool (PFADOT). The main purpose of the graphical user interface-based package is to guide a DISCO in finding the optimal size and location for DG placement in radial distribution networks. The package, which is also suitable for load flow analysis, employs the GUI feature of MATLAB. Three objective functions are formulated into a single optimisation problem and solved with fuzzy genetic algorithm to simultaneously obtain DG optimal size and location. The accuracy and reliability of the developed tool was validated using several radial test systems, and the results obtained are evaluated against the existing similar package cited in the literature, which are impressive and computationally efficient.
format Article
author Akorede, M. F.
Hizam, H.
Aris, I.
Kadir, M. Z. A. Ab
Hojabri, M.
spellingShingle Akorede, M. F.
Hizam, H.
Aris, I.
Kadir, M. Z. A. Ab
Hojabri, M.
User-friendly tool for power flow analysis and distributed generation optimisation in radial distribution networks
author_facet Akorede, M. F.
Hizam, H.
Aris, I.
Kadir, M. Z. A. Ab
Hojabri, M.
author_sort Akorede, M. F.
title User-friendly tool for power flow analysis and distributed generation optimisation in radial distribution networks
title_short User-friendly tool for power flow analysis and distributed generation optimisation in radial distribution networks
title_full User-friendly tool for power flow analysis and distributed generation optimisation in radial distribution networks
title_fullStr User-friendly tool for power flow analysis and distributed generation optimisation in radial distribution networks
title_full_unstemmed User-friendly tool for power flow analysis and distributed generation optimisation in radial distribution networks
title_sort user-friendly tool for power flow analysis and distributed generation optimisation in radial distribution networks
publisher Faculty of Engineering & Technology, University of Ilorin, Ilorin, Nigeria
publishDate 2017
url http://psasir.upm.edu.my/id/eprint/63655/1/User-friendly%20tool%20for%20power%20flow%20analysis%20and%20distributed%20generation%20optimisation%20in%20radial%20distribution%20networks.pdf
http://psasir.upm.edu.my/id/eprint/63655/
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