DOI:10.1007/s40565-017-0320-1 |
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Parallel power system restoration planning using heuristic initialization and discrete evolutionary programming |
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Net amount: 728 |
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Author:
Dian Najihah ABU TALIB1, Hazlie MOKHLIS1, Mohamad Sofian ABU TALIP1, Kanendra NAIDU2
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Author Affiliation:
1 Department of Electrical Engineering, University of Malaya, 50603 Kuala Lumpur, Malaysia 2 Electrical Technology Section, University of Kuala Lumpur, British Malaysian Institute, 53100 Gombak, Malaysia
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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 systeminto subsystems orislands. 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 comparedto
other methods reported in the literature. |
Keywords: |
Sectionalizing planning, Parallel power system restoration, Graph theory, Heuristic initialization, Discrete evolutionary programming (DEP) optimization method |
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Online Time:2017/11/27 |
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