DocumentCode
2906248
Title
A Probabilistic Load Flow with Consideration of Network Topology Uncertainties
Author
Min, Liang ; Zhang, Pei
Author_Institution
Electr. Power Res. Inst., Shandong
fYear
2007
fDate
5-8 Nov. 2007
Firstpage
1
Lastpage
5
Abstract
Our past research proposed to apply Comulants and Gram-Charlier expansion method to perform probabilistic load flow studies with consideration of generation and load uncertainties. This paper proposed a new method to improve the previous PLF computation method in order to model the network topology uncertainties. This innovative method uses distribution factor concept to model the impact of network uncertainties as a linear function of power injections. Maintaining the linear relationship between line flows and power injections enables applying Cumulants and Gram-Charlier expansion method to compute probabilistic distribution functions of transmission line flows. The proposed method is examined using IEEE 30-bus test system. Numerical comparison with Monte Carlo simulation method is also presented in this paper. Study results indicate that the proposed method has significantly reduced the computational efforts while maintaining a high degree of accuracy.
Keywords
Monte Carlo methods; load flow; power transmission lines; power transmission planning; statistical distributions; Cumulants and Gram-Charlier expansion planning; IEEE 30-bus test system; Monte Carlo simulation method; network topology uncertainties; power injections; probabilistic distribution factor concept; probabilistic load flow; transmission line flows; Computer networks; Distributed computing; Distribution functions; Load flow; Load flow analysis; Network topology; Power system modeling; Power transmission lines; System testing; Uncertainty; Cumulants; Distribution Factor; Gram-Charlier Expansion; Probabilistic Load Flow; Probability Distribution Function;
fLanguage
English
Publisher
ieee
Conference_Titel
Intelligent Systems Applications to Power Systems, 2007. ISAP 2007. International Conference on
Conference_Location
Toki Messe, Niigata
Print_ISBN
978-986-01-2607-5
Electronic_ISBN
978-986-01-2607-5
Type
conf
DOI
10.1109/ISAP.2007.4441587
Filename
4441587
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