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Parallel power system restoration planning using heuristic initialization and discrete evolutionary programming 被引量:3
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作者 Dian Najihah ABU TALIB Hazlie MOKHLIS +1 位作者 Mohamad Sofian ABU TALIP Kanendra NAIDU 《Journal of Modern Power Systems and Clean Energy》 SCIE EI 2017年第6期991-1003,共13页
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... 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 takeninto 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. 展开更多
关键词 Sectionalizing planning Parallel power system restoration Graph theory Heuristic initialization discrete evolutionary programming(DEP)optimization method
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