DocumentCode
892478
Title
Determining rational redundancy of 500-kV reactors in transmission systems using a probability-based economic analysis approach: BCTC´s practice
Author
Li, Wenyuan ; Pai, Steven ; Kwok, Mike ; Sun, Jun
Author_Institution
British Columbia Transmission Corp., Vancouver, BC, Canada
Volume
19
Issue
1
fYear
2004
Firstpage
325
Lastpage
329
Abstract
This paper presents a methodology to determine a rational redundancy level of power system equipment based on a coordination among the electric energy market information, the total transfer capability (TTC) in the transmission system and the estimation of random equipment failures. The proposed approach includes the models of unavailability due to both repairable and aging failures of equipment, the calculation method of two discrete statistical distributions representing energy prices and export powers, and a probabilistic benefit/cost analysis technique. An actual example of 500-kV reactors at British Columbia Transmission Corporation (BCTC) has been given to demonstrate the procedure of the application. The results indicate that the redundancy level determined using this approach not only enables the utility to avoid possible losses in the income from energy sales and improves the profile of system TTC but also guarantees a high benefit/cost ratio in a financial justification of redundant equipment addition.
Keywords
power markets; power transmission economics; power transmission faults; power transmission reliability; reactors (electric); redundancy; statistical distributions; 500 kV; British Columbia Transmission Corporation; discrete statistical distributions; electric energy market information; energy prices; equipment failure estimation; power system equipment; power system reliability; probabilistic benefit-cost analysis technique; probability-based economic analysis approach; rational redundancy; reactor failure modes; repairable reactor modes; total transfer capability; transmission system reactors; unavailability models; Aging; Cost benefit analysis; Equipment failure; Failure analysis; Inductors; Power generation economics; Power system analysis computing; Power system economics; Power system modeling; Statistical distributions;
fLanguage
English
Journal_Title
Power Systems, IEEE Transactions on
Publisher
ieee
ISSN
0885-8950
Type
jour
DOI
10.1109/TPWRS.2003.821441
Filename
1266585
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