DocumentCode :
1609752
Title :
Information entropy based contingency selection for Available Transfer Capability calculation
Author :
Zheng, Yanan ; Zhou, Ming ; Li, Gengyin ; Lo, K.L.
Author_Institution :
Key Lab. of Power Syst. Protection & Dynamic Security Monitoring & Control, North China Electr. Power Univ., Beijing, China
fYear :
2010
Firstpage :
1
Lastpage :
6
Abstract :
Available Transfer Capability (ATC) is a measure of the transfer capability remaining in the physical transmission network for further commercial activity over and above already committed uses. Putting forward against the defect that the traditional contingency selection method uses single index to enumerate states or disturbances, this paper introduces the active power behavior index and the voltage-reactive power behavior index, and uses the entropy weight to rank and select the states which seriously affect the system; then from the point of both safety and economy, optimal power flow model is used in every power flow calculation; last introduces the maximum entropy principle to research the probability distribution of ATC. By simulating on the IEEE-14 bus test system, the proposed method has the advantages over the conventional approach in contingency selection, calculation accuracy and processing speed.
Keywords :
load flow; maximum entropy methods; power transmission economics; reactive power; statistical distributions; ATC; IEEE-14 bus test system; active power behavior index; available transfer capability calculation; contingency selection; information entropy; maximum entropy principle; optimal power flow model; physical transmission network; probability distribution; voltage-reactive power behavior index; Entropy; Indexes; Load flow; Mathematical model; Monte Carlo methods; Probability; Reactive power; Available transfer capability; contingency selection method; entropy weight; maximum entropy principle;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Power System Technology (POWERCON), 2010 International Conference on
Conference_Location :
Hangzhou
Print_ISBN :
978-1-4244-5938-4
Type :
conf
DOI :
10.1109/POWERCON.2010.5666372
Filename :
5666372
Link To Document :
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