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