DocumentCode :
823509
Title :
A new probabilistic power flow analysis method
Author :
MelioPoulos, A. P Sakis ; Cokkinides, George J. ; Chao, Xing Yong
Author_Institution :
Sch. of Electr. Eng., Georgia Inst. of Technol., Atlanta, GA, USA
Volume :
5
Issue :
1
fYear :
1990
fDate :
2/1/1990 12:00:00 AM
Firstpage :
182
Lastpage :
190
Abstract :
A method for the simulation of the composite power system is proposed for the purpose of evaluating the probability distribution function of circuit flows and bus voltage magnitudes. The method consists of two steps. First, given the probabilistic electric load model, the probability distribution function of the total generation of generation buses is computed. Second, circuit flows and bus voltage magnitudes are expressed as linear combinations of power injections at generation buses. This relationship allows the computation of the distribution functions of circuit flows and bus voltage magnitudes. The method incorporates major operating practices such as economic dispatch and nonlinearities resulting from the power flow equations. Validation of the method is performed via Monte Carlo simulation. Typical results are presented, showing that the proposed method matches the results obtained with the Monte Carlo simulations very well. Potential applications of the proposed method are: composite power system reliability analysis and transmission loss evaluation
Keywords :
Monte Carlo methods; load flow; power systems; probability; Monte Carlo simulation; bus voltage magnitudes; circuit flows; composite power system; electric load model; generation buses; power injections; probabilistic power flow analysis method; probability distribution function; reliability analysis; simulation; transmission loss evaluation; Circuit simulation; Computational modeling; Distributed computing; Load flow analysis; Load modeling; Power system analysis computing; Power system modeling; Power system simulation; Probability distribution; Voltage;
fLanguage :
English
Journal_Title :
Power Systems, IEEE Transactions on
Publisher :
ieee
ISSN :
0885-8950
Type :
jour
DOI :
10.1109/59.49104
Filename :
49104
Link To Document :
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