Title :
The Statistical Law of Power System Blackouts
Author :
Gou, Bei ; Zheng, Hui ; Wu, Weibiao ; Yu, Xingbin
Author_Institution :
Dept. of Electr. Eng., Univ. of Texas at Arlington, Arlington, TX
Abstract :
This paper proposes a statistical distribution of blackouts for power systems through the employment of statistical theory. Two groups of factors involved in the cascading events leading to blackouts are explored and explained. The mechanism of blackouts is proposed based on these two factors so that the statistical law of blackouts can be derived by using statistical and probability theory. The theoretical proofs are given in obtaining the statistical law of blackouts. Sequential Monte Carlo simulation method is utilized to perform the numerical tests on different power systems to justify the proposed law for blackouts.
Keywords :
Monte Carlo methods; power markets; power system faults; power system reliability; probability; statistical distributions; cascading failures; power markets; power system blackouts; probability theory; sequential Monte Carlo simulation method; statistical distribution; Employment; Performance evaluation; Power system faults; Power system protection; Power system simulation; Power systems; Probability; Sequential analysis; Statistical distributions; System testing; Deterministic factors; Sequential Monte Carlo simulation; blackout analysis; hidden failure; probabilistic factors;
Conference_Titel :
Power Symposium, 2006. NAPS 2006. 38th North American
Conference_Location :
Carbondale, IL
Print_ISBN :
1-4244-0227-1
Electronic_ISBN :
1-4244-0228-X
DOI :
10.1109/NAPS.2006.359617