A REVIEW OF OPTIMIZATION APPROACH TO POWER FLOW TRACING IN A DEREGULATED POWER SYSTEM

Power Flow Tracing (PFT) is known to be the best method in the allocation of charges to users of transmission systems, generators and loads, in a deregulated environment. The optimization approach to PFT produced better results than other methods because it considers the physical power flow results...

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Main Authors: M. A. Tijani, G. A. Adepoju, K. A. Hamzat, M. A. Sanusi
Format: Article
Language:English
Published: University of Maiduguri 2019-06-01
Series:Arid Zone Journal of Engineering, Technology and Environment
Online Access:http://www.azojete.com.ng/index.php/azojete/article/view/620/387
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spelling doaj-841e12f17299444eb37ea0501ae4f47a2020-11-25T03:27:14ZengUniversity of MaiduguriArid Zone Journal of Engineering, Technology and Environment2545-58182545-58182019-06-01152435448A REVIEW OF OPTIMIZATION APPROACH TO POWER FLOW TRACING IN A DEREGULATED POWER SYSTEMM. A. Tijani0G. A. Adepoju1K. A. Hamzat2M. A. Sanusi3Department of Electrical and Electronics Engineering, Federal Polytechnic, Ede.Department of Electronic and Electrical Engineering, Ladoke Akintola University of Technology, Ogbomoso.Department of Electrical and Electronics Engineering, Osun State College of Technology, Esa-OkeDepartment of Electrical and Electronics Engineering, Osun State College of Technology, Esa-OkePower Flow Tracing (PFT) is known to be the best method in the allocation of charges to users of transmission systems, generators and loads, in a deregulated environment. The optimization approach to PFT produced better results than other methods because it considers the physical power flow results and electrical constraints of the system. A brief review of the optimal power flow concept, PFT techniques, and the deterministic and non-deterministic optimization methods applied to PFT are presented. The paper also highlighted the future trends of hybrid optimization approach to PFT. It is recommended that more research work should be directed on the hybrid optimization methods to solve PFT problems.http://www.azojete.com.ng/index.php/azojete/article/view/620/387
collection DOAJ
language English
format Article
sources DOAJ
author M. A. Tijani
G. A. Adepoju
K. A. Hamzat
M. A. Sanusi
spellingShingle M. A. Tijani
G. A. Adepoju
K. A. Hamzat
M. A. Sanusi
A REVIEW OF OPTIMIZATION APPROACH TO POWER FLOW TRACING IN A DEREGULATED POWER SYSTEM
Arid Zone Journal of Engineering, Technology and Environment
author_facet M. A. Tijani
G. A. Adepoju
K. A. Hamzat
M. A. Sanusi
author_sort M. A. Tijani
title A REVIEW OF OPTIMIZATION APPROACH TO POWER FLOW TRACING IN A DEREGULATED POWER SYSTEM
title_short A REVIEW OF OPTIMIZATION APPROACH TO POWER FLOW TRACING IN A DEREGULATED POWER SYSTEM
title_full A REVIEW OF OPTIMIZATION APPROACH TO POWER FLOW TRACING IN A DEREGULATED POWER SYSTEM
title_fullStr A REVIEW OF OPTIMIZATION APPROACH TO POWER FLOW TRACING IN A DEREGULATED POWER SYSTEM
title_full_unstemmed A REVIEW OF OPTIMIZATION APPROACH TO POWER FLOW TRACING IN A DEREGULATED POWER SYSTEM
title_sort review of optimization approach to power flow tracing in a deregulated power system
publisher University of Maiduguri
series Arid Zone Journal of Engineering, Technology and Environment
issn 2545-5818
2545-5818
publishDate 2019-06-01
description Power Flow Tracing (PFT) is known to be the best method in the allocation of charges to users of transmission systems, generators and loads, in a deregulated environment. The optimization approach to PFT produced better results than other methods because it considers the physical power flow results and electrical constraints of the system. A brief review of the optimal power flow concept, PFT techniques, and the deterministic and non-deterministic optimization methods applied to PFT are presented. The paper also highlighted the future trends of hybrid optimization approach to PFT. It is recommended that more research work should be directed on the hybrid optimization methods to solve PFT problems.
url http://www.azojete.com.ng/index.php/azojete/article/view/620/387
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