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Islanding decision space minimization and quick search in case of large-scale grids
Qiao Ying ; Shen Chen ; Lu Qiang
2010-10-12 ; 2010-10-12
关键词Practical Theoretical or Mathematical/ binary decision diagrams computational complexity power grids power system faults/ islanding decision space minimization quick search power system splitting system islanding power grid power service graph-model computation complexity weak-connection-based method ordered binary decision diagram-based method IEEE-68 systems large-scale power system/ B8110 Power systems B0250 Combinatorial mathematics
中文摘要Power system splitting (also called as system islanding) is to split the interconnected power grid into several islands when the system is subject to severe disturbances and system integrity can not be hold, so that the continuity of power service on the islands can be sustained. Recent interests have been concentrated on how to find out splitting strategies that satisfy certain constraints in an efficient way. But methods based on graph-model always collapse because computation complexity explodes too severely with the increase of the scale of power systems. Instead of taking all branches as candidates, this paper proposes a weak-connection-based method to form a much smaller candidate strategy space before any searching. Thereafter, an OBDD (ordered binary decision diagram)-based method is applied to search feasible strategies within the candidate subspace. Tests on IEEE-68 systems show that the proposed method works well in large-scale power system.
语种中文
出版者Chinese Society for Electrical Engineering ; China
内容类型期刊论文
源URL[http://hdl.handle.net/123456789/82493]  
专题清华大学
推荐引用方式
GB/T 7714
Qiao Ying,Shen Chen,Lu Qiang. Islanding decision space minimization and quick search in case of large-scale grids[J],2010, 2010.
APA Qiao Ying,Shen Chen,&Lu Qiang.(2010).Islanding decision space minimization and quick search in case of large-scale grids..
MLA Qiao Ying,et al."Islanding decision space minimization and quick search in case of large-scale grids".(2010).
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