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Parallel power system restoration planning using heuristic initialization and discrete evolutionary programming

This paper proposes a sectionalizing planning for parallel power system restoration after a complete system blackout. Parallel restoration is conducted in order to reduce the total restoration process time. Physical and operation knowledge of the system, operating personnel experience, and computer...

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Main Authors:	Abu Talib, D.N., Mokhlis, Hazlie, Abu Talip, Mohamad Sofian, Naidu, K.
Format:	Article
Published:	SpringerOpen 2017
Subjects:	TK Electrical engineering. Electronics Nuclear engineering
Online Access:	http://eprints.um.edu.my/19251/ http://dx.doi.org/10.1007/s40565-017-0320-1
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spelling	my.um.eprints.192512019-10-10T02:41:15Z http://eprints.um.edu.my/19251/ Parallel power system restoration planning using heuristic initialization and discrete evolutionary programming Abu Talib, D.N. Mokhlis, Hazlie Abu Talip, Mohamad Sofian Naidu, K. TK Electrical engineering. Electronics Nuclear engineering This paper proposes a sectionalizing planning for parallel power system restoration after a complete system blackout. Parallel restoration is conducted in order to reduce the total restoration process time. Physical and operation knowledge of the system, operating personnel experience, and computer simulation are combined in this planning to improve the system restoration and serve as a guidance for system operators/planners. Sectionalizing planning is obtained using discrete evolutionary programming optimization method assisted by heuristic initialization and graph theory approach. Set of transmission lines that should not be restored during parallel restoration process (cut set) is determined in order to sectionalize the system into subsystems or islands. Each island with almost similar restoration time is set as an objective function so as to speed up the resynchronization of the islands. Restoration operation and constraints (black start generator availability, load-generation balance and maintaining acceptable voltage magnitude within each island) is also taken into account in the course of this planning. The method is validated using the IEEE 39-bus and 118-bus system. Promising results in terms of restoration time was compared to other methods reported in the literature. SpringerOpen 2017 Article PeerReviewed Abu Talib, D.N. and Mokhlis, Hazlie and Abu Talip, Mohamad Sofian and Naidu, K. (2017) Parallel power system restoration planning using heuristic initialization and discrete evolutionary programming. Journal of Modern Power Systems and Clean Energy, 5 (6). pp. 991-1003. ISSN 2196-5625 http://dx.doi.org/10.1007/s40565-017-0320-1 doi:10.1007/s40565-017-0320-1
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 Abu Talib, D.N. Mokhlis, Hazlie Abu Talip, Mohamad Sofian Naidu, K. Parallel power system restoration planning using heuristic initialization and discrete evolutionary programming
description	This paper proposes a sectionalizing planning for parallel power system restoration after a complete system blackout. Parallel restoration is conducted in order to reduce the total restoration process time. Physical and operation knowledge of the system, operating personnel experience, and computer simulation are combined in this planning to improve the system restoration and serve as a guidance for system operators/planners. Sectionalizing planning is obtained using discrete evolutionary programming optimization method assisted by heuristic initialization and graph theory approach. Set of transmission lines that should not be restored during parallel restoration process (cut set) is determined in order to sectionalize the system into subsystems or islands. Each island with almost similar restoration time is set as an objective function so as to speed up the resynchronization of the islands. Restoration operation and constraints (black start generator availability, load-generation balance and maintaining acceptable voltage magnitude within each island) is also taken into account in the course of this planning. The method is validated using the IEEE 39-bus and 118-bus system. Promising results in terms of restoration time was compared to other methods reported in the literature.
format	Article
author	Abu Talib, D.N. Mokhlis, Hazlie Abu Talip, Mohamad Sofian Naidu, K.
author_facet	Abu Talib, D.N. Mokhlis, Hazlie Abu Talip, Mohamad Sofian Naidu, K.
author_sort	Abu Talib, D.N.
title	Parallel power system restoration planning using heuristic initialization and discrete evolutionary programming
title_short	Parallel power system restoration planning using heuristic initialization and discrete evolutionary programming
title_full	Parallel power system restoration planning using heuristic initialization and discrete evolutionary programming
title_fullStr	Parallel power system restoration planning using heuristic initialization and discrete evolutionary programming
title_full_unstemmed	Parallel power system restoration planning using heuristic initialization and discrete evolutionary programming
title_sort	parallel power system restoration planning using heuristic initialization and discrete evolutionary programming
publisher	SpringerOpen
publishDate	2017
url	http://eprints.um.edu.my/19251/ http://dx.doi.org/10.1007/s40565-017-0320-1
_version_	1648736159089557504
score	13.211869

Parallel power system restoration planning using heuristic initialization and discrete evolutionary programming

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