DocumentCode :
3349427
Title :
A Novel Fast Searching Algorithm for Power System Self-Adaptive Islanding
Author :
Wang Cheng-gen ; Zhang Bao-hui ; Shu Jin ; Cheng Lin-yan ; Li Peng ; Hao Zhi-guo ; Bo Zhi-qian ; Klimek, Andrew
Author_Institution :
Sch. of Electr. Eng., Xi´´an Jiaotong Univ., Xi´´an
fYear :
2009
fDate :
27-31 March 2009
Firstpage :
1
Lastpage :
6
Abstract :
Self-adaptive system islanding refers to the separation of an interconnected power system into electrically isolated islands automatically based on the identification of unstable mode. A fast searching algorithm for self-adaptive power system islanding, which is called multilevel reduced graph partitioning (MLRGP) algorithm, is presented in this paper. The aim of this algorithm is that the generation load imbalance in each island is as small as possible. The algorithm computes a reasonable islanding strategy of power system G=(V, E) in O(|E|) time. A C++ program is developed based on the algorithm. The verification of the islanding program is proven with simulations on a practical 212-bus power system. It costs only about 20 ms to get a reasonable islanding strategy on an ordinary PC, which satisfies the speed demand of self-adaptive system islanding.
Keywords :
C++ language; load management; power system analysis computing; power system interconnection; search problems; C++ program; electrically isolated islands; fast searching algorithm; generation load imbalance; interconnected power system; multilevel reduced graph partitioning algorithm; power system self-adaptive islanding; Automation; Computational modeling; Costs; Electronic mail; Partitioning algorithms; Power system interconnection; Power system modeling; Power system relaying; Power system simulation; Power systems;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Power and Energy Engineering Conference, 2009. APPEEC 2009. Asia-Pacific
Conference_Location :
Wuhan
Print_ISBN :
978-1-4244-2486-3
Electronic_ISBN :
978-1-4244-2487-0
Type :
conf
DOI :
10.1109/APPEEC.2009.4918092
Filename :
4918092
Link To Document :
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