Power System Restoration Planning Strategy Based on Optimal Energizing Time of Sectionalizing Islands

Common power system restoration planning strategy is based on a 'build up' approach, where a blackout system is sectionalized among several islands for parallel restoration prior to resynchronization. In order to speed up the resynchronization of the islands, each island must have similar...

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Main Authors: Talib, Dian Najihah Abu, Mokhlis, Hazlie, Abu Talip, Mohamad Sofian, Naidu, Kanendra, Suyono, Hadi
Format: Article
Published: MDPI 2018
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Online Access:http://eprints.um.edu.my/20556/
https://doi.org/10.3390/en11051316
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spelling my.um.eprints.205562019-03-04T03:06:58Z http://eprints.um.edu.my/20556/ Power System Restoration Planning Strategy Based on Optimal Energizing Time of Sectionalizing Islands Talib, Dian Najihah Abu Mokhlis, Hazlie Abu Talip, Mohamad Sofian Naidu, Kanendra Suyono, Hadi TK Electrical engineering. Electronics Nuclear engineering Common power system restoration planning strategy is based on a 'build up' approach, where a blackout system is sectionalized among several islands for parallel restoration prior to resynchronization. In order to speed up the resynchronization of the islands, each island must have similar energizing times. However, there is a huge number of possible combinations of islands that can be formed. Thus, this paper proposes a method to determine optimal islands that have similar energizing times. The method involves identifying transmission lines that should not be connected to form the islands. The proposed method is based on the combination of heuristic and discrete optimization methods. The heuristic technique is proposed to find initial solution that is close to the optimal solution. This solution will guide the optimization technique, which is the discrete Artificial Bee Colony optimization method, to find the optimum solution. The proposed method also considers restoration constraints including black start generator availability, load-generation balance, and the maintenance of acceptable voltage magnitude within each island. The proposed method is validated via simulation using IEEE 39, 118-bus and 89-bus European systems. The advantage of the proposed method in terms of restoration time is demonstrated through a comparison with other literature. MDPI 2018 Article PeerReviewed Talib, Dian Najihah Abu and Mokhlis, Hazlie and Abu Talip, Mohamad Sofian and Naidu, Kanendra and Suyono, Hadi (2018) Power System Restoration Planning Strategy Based on Optimal Energizing Time of Sectionalizing Islands. Energies, 11 (5). p. 1316. ISSN 1996-1073 https://doi.org/10.3390/en11051316 doi:10.3390/en11051316
institution Universiti Malaya
building UM Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Malaya
content_source UM Research Repository
url_provider http://eprints.um.edu.my/
topic TK Electrical engineering. Electronics Nuclear engineering
spellingShingle TK Electrical engineering. Electronics Nuclear engineering
Talib, Dian Najihah Abu
Mokhlis, Hazlie
Abu Talip, Mohamad Sofian
Naidu, Kanendra
Suyono, Hadi
Power System Restoration Planning Strategy Based on Optimal Energizing Time of Sectionalizing Islands
description Common power system restoration planning strategy is based on a 'build up' approach, where a blackout system is sectionalized among several islands for parallel restoration prior to resynchronization. In order to speed up the resynchronization of the islands, each island must have similar energizing times. However, there is a huge number of possible combinations of islands that can be formed. Thus, this paper proposes a method to determine optimal islands that have similar energizing times. The method involves identifying transmission lines that should not be connected to form the islands. The proposed method is based on the combination of heuristic and discrete optimization methods. The heuristic technique is proposed to find initial solution that is close to the optimal solution. This solution will guide the optimization technique, which is the discrete Artificial Bee Colony optimization method, to find the optimum solution. The proposed method also considers restoration constraints including black start generator availability, load-generation balance, and the maintenance of acceptable voltage magnitude within each island. The proposed method is validated via simulation using IEEE 39, 118-bus and 89-bus European systems. The advantage of the proposed method in terms of restoration time is demonstrated through a comparison with other literature.
format Article
author Talib, Dian Najihah Abu
Mokhlis, Hazlie
Abu Talip, Mohamad Sofian
Naidu, Kanendra
Suyono, Hadi
author_facet Talib, Dian Najihah Abu
Mokhlis, Hazlie
Abu Talip, Mohamad Sofian
Naidu, Kanendra
Suyono, Hadi
author_sort Talib, Dian Najihah Abu
title Power System Restoration Planning Strategy Based on Optimal Energizing Time of Sectionalizing Islands
title_short Power System Restoration Planning Strategy Based on Optimal Energizing Time of Sectionalizing Islands
title_full Power System Restoration Planning Strategy Based on Optimal Energizing Time of Sectionalizing Islands
title_fullStr Power System Restoration Planning Strategy Based on Optimal Energizing Time of Sectionalizing Islands
title_full_unstemmed Power System Restoration Planning Strategy Based on Optimal Energizing Time of Sectionalizing Islands
title_sort power system restoration planning strategy based on optimal energizing time of sectionalizing islands
publisher MDPI
publishDate 2018
url http://eprints.um.edu.my/20556/
https://doi.org/10.3390/en11051316
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score 13.160551