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

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, DOI https://doi.org/10.1007/s40565-017-0320-1.

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Official URL: http://dx.doi.org/10.1007/s40565-017-0320-1

Abstract

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.

Item Type: Article
Funders: UNSPECIFIED
Uncontrolled Keywords: Discrete evolutionary programming (DEP) optimization method; Graph theory; Heuristic initialization; Parallel power system restoration; Sectionalizing planning
Subjects: T Technology > TK Electrical engineering. Electronics Nuclear engineering
Divisions: Faculty of Engineering
Depositing User: Ms. Juhaida Abd Rahim
Date Deposited: 18 Sep 2018 05:11
Last Modified: 10 Oct 2019 02:41
URI: http://eprints.um.edu.my/id/eprint/19251

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