DocumentCode :
3095967
Title :
A Probabilistic Load Flow Method Considering Transmission Network Contingency
Author :
Lu, Miao ; Dong, Zhao Yang ; Saha, Tapan Kumar
Author_Institution :
Sch. of Inf. Technol. & Electr. Eng., Univ. of Queensland, Brisbane, QLD
fYear :
2007
fDate :
24-28 June 2007
Firstpage :
1
Lastpage :
6
Abstract :
A new method for probabilistic power flow considering transmission network contingency is proposed for the purpose of removing the unrealistic assumptions of conventional analytical PLF techniques. Because any component failure in a transmission network will change the system configuration, the calculation of power flow distribution needs to consider those contingencies. The method proposed in this paper is able to provide a summation of conditional probability of the load flow solutions assuming all network configurations resulted from contingencies have occurred. The proposed method is based on the combination of Cumulant method for probabilistic power flow and Logarithmic barrier interior point method type solution, which is used to estimate the statistics of load flows. By using this method, the exact level of risk can be expressed easily, which is impossible by deterministic philosophy. This method can bring more economical benefits than that of other PLF methods with respect to the costs and risk levels. The method is validated via a real large transmission system - Queensland network, with forced outages of circuits and generating units. More accurate boundary of variables is calculated with this efficient method.
Keywords :
load flow; probability; transmission networks; Cumulant method; Logarithmic barrier interior point method; Queensland transmission system; load flow statistics; power flow distribution calculation; probabilistic load flow method; transmission network contingency; Computational modeling; Gaussian distribution; Load flow; Power system analysis computing; Power system measurements; Power system planning; Power system simulation; Probability; Scholarships; Voltage; Cumulants; Gram-Charlier A Series; Normalized Coefficient of Probability; Probabilistic Distribution function; Probabilistic Load Flow;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Power Engineering Society General Meeting, 2007. IEEE
Conference_Location :
Tampa, FL
ISSN :
1932-5517
Print_ISBN :
1-4244-1296-X
Electronic_ISBN :
1932-5517
Type :
conf
DOI :
10.1109/PES.2007.385770
Filename :
4275536
Link To Document :
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