DocumentCode :
2051227
Title :
Probabilistic load flow computation using first-order second-moment method
Author :
Can Wan ; Zhao Xu ; Zhao Yang Dong ; Kit Po Wong
Author_Institution :
Dept. of Electr. Eng., Hong Kong Polytech. Univ., Hong Kong, China
fYear :
2012
fDate :
22-26 July 2012
Firstpage :
1
Lastpage :
6
Abstract :
This paper proposes a new probabilistic load flow method based on the first-order second-moment method. The proposed method aims to obtain the mean and standard deviation of load flow solution distributions considering various uncertainties in system operation. Power injection uncertainties including fluctuation of loads and unit outages are considered in the probabilistic load flow calculation. The performance of the proposed method is examined by comparing the results with those from Monte Carlo simulation using IEEE 9-bus and 118-bus test systems. A normalized accuracy and efficiency based procedure is developed for result analyses. Numerical tests demonstrate that the proposed method can obtain accurate results while reducing the computation time significantly.
Keywords :
Monte Carlo methods; computational complexity; load flow; method of moments; IEEE 118-bus test systems; IEEE 9-bus test systems; Monte Carlo simulation; computation time; efficiency based procedure; first-order second-moment method; loads fluctuation; mean deviation; normalized accuracy; power injection uncertainties; probabilistic load flow computation; standard deviation; unit outages; Accuracy; Equations; Load flow; Mathematical model; Probabilistic logic; Standards; Uncertainty; First-order second-moment method; power system; probabilistic density function; probabilistic load flow;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Power and Energy Society General Meeting, 2012 IEEE
Conference_Location :
San Diego, CA
ISSN :
1944-9925
Print_ISBN :
978-1-4673-2727-5
Electronic_ISBN :
1944-9925
Type :
conf
DOI :
10.1109/PESGM.2012.6345023
Filename :
6345023
Link To Document :
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