DocumentCode
2895697
Title
Cumulant-based probabilistic load flow calculation in a market environment
Author
Wan, Can ; Dong, Zhao Yang ; Luo, Fengji ; Wong, Kit Po ; Lu, Miao ; Zhang, Pei
Author_Institution
Dept. of Electr. Eng., Hong Kong Polytech. Univ., Hong Kong, China
fYear
2011
fDate
6-9 July 2011
Firstpage
1190
Lastpage
1195
Abstract
This paper proposes a probabilistic load flow (PLF) method considering market factors in power system analysis. Market-based power system brings a great many uncertainties and challenges to system operation and planning and market factors cannot be ignored in probabilistic load flow calculation. The method proposed in this paper is based on combined Cumulants and Gram-Charlier expansion and incorporates system participants´ activity in power flow calculation. A real large power system Queensland network in Australia is used as an example to examine efficiency and accuracy of the proposed method. The results are compared with conventional Cumulants and Gram-Charlier based PLF method (CGC) without considering market level uncertainties and Monte Carlo simulation (MCS) based on the real power system. Differences among these methods are analyzed and discussed in detail. The proposed method improves the accuracy and reality of PLF results.
Keywords
Monte Carlo methods; load flow; power markets; power system planning; probability; Gram-Charlier expansion; Monte Carlo simulation; PLF method; Queensland network; combined cumulant; cumulant-based probabilistic load flow calculation; market environment; market factor; market level uncertainty; market-based power system; power flow calculation; power system analysis; Accuracy; Load flow; Monte Carlo methods; Planning; Probabilistic logic; Uncertainty; Probabilistic load flow (PLF); cumulant; cumulative distribution function (CDF); market factors; probabilistic density function (PDF);
fLanguage
English
Publisher
ieee
Conference_Titel
Electric Utility Deregulation and Restructuring and Power Technologies (DRPT), 2011 4th International Conference on
Conference_Location
Weihai, Shandong
Print_ISBN
978-1-4577-0364-5
Type
conf
DOI
10.1109/DRPT.2011.5994075
Filename
5994075
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