DocumentCode :
570401
Title :
Calculation of wind-farm capacity credit based on probabilistic production simulation and its application
Author :
Liu, Junwei ; Zhou, Ming ; Mao, Xueyan ; Wu, Qiubing
Author_Institution :
State Key Lab. of Alternate Electr. Power Syst. with Renewable Energy Sources, North China Electr. Power Univ., Beijing, China
fYear :
2012
fDate :
21-24 May 2012
Firstpage :
1
Lastpage :
5
Abstract :
In aspect of capacity, wind power generation and traditional power generation is inner connected. The capacity credit is a convenient and effective way to compare these two different types of power generation. Capacity credit of wind power (CCOWF) is presented in this paper, as well as a calculation method of CCOWF based on probabilistic production simulation (PPS), this method is based on sequence operation theory (SOT) and considers both the probabilistic of load and power generation. Considering the loss of load expectation (LOLE) is unchanged with the accessing of wind power and shutting some gas-guzzling thermal power down. The corresponding software is programmed, and the diagrammatic method is developed to calculate and the CCOWF of IEEE-RTS79 test system. In the end, the application of CCOWF in aspect of calculating the ability of peak load regulation and the capacity of spinning reserve is short presented.
Keywords :
IEEE standards; probability; wind power plants; IEEE-RTS79 test system; diagrammatic method; gas-guzzling thermal power; load expectation; load generation; peak load regulation; probabilistic production simulation; sequence operation theory; spinning reserve; wind power generation; wind-farm capacity credit; Load modeling; Power system reliability; Probabilistic logic; Reliability; Wind farms; Wind power generation; LOLE; capacity credit; peak load regulation; probabilistic model; wind power;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Innovative Smart Grid Technologies - Asia (ISGT Asia), 2012 IEEE
Conference_Location :
Tianjin
Print_ISBN :
978-1-4673-1221-9
Type :
conf
DOI :
10.1109/ISGT-Asia.2012.6303224
Filename :
6303224
Link To Document :
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