DocumentCode :
1078118
Title :
Reliability Assessment of a Backup Gas Turbine Generation System for a Critical Industry Load Using a Monte Carlo Simulation Model
Author :
Chowdhury, Ali Asraf ; Koval, Don O.
Author_Institution :
California Indep. Syst. Operator, Folsom, CA
Volume :
45
Issue :
1
fYear :
2009
Firstpage :
310
Lastpage :
316
Abstract :
The Alberta Interconnected Electric System (AIES) forms a single integrated transmission network serving the Province of Alberta, Canada. A number of large critical industrial loads are served by the AIES. These loads operate 24 h a day and seven days a week. This paper deals with a critical industrial load which is normally supplied by the Alberta provincial grid through two 72-kV lines. This load also maintains a backup generation system consisting of a set of gas turbines to meet its operating demands in the case of Alberta grid failure. The basic objective of this paper is to derive the optimal number of gas turbines that this critical load should maintain in order to satisfy the plant´s reliability criteria in the case of grid failure for continuity of its operation. A Monte Carlo simulation model is developed to assess the adequacy of the backup gas turbine system, and the results of a series of case studies performed using the developed model are presented in this paper.
Keywords :
Monte Carlo methods; gas turbine power stations; power generation reliability; power grids; power system interconnection; AIES; Alberta Interconnected Electric System; Alberta grid failure; Monte Carlo simulation model; backup gas turbine generation system; critical industrial loads; grid failure; reliability assessment; single integrated transmission network; time 24 h; voltage 72 kV; Costs; Electricity supply industry; Gas industry; Industry Applications Society; Manufacturing industries; Mesh generation; Power supplies; Power system reliability; Standby generators; Turbines; Adequacy of gas turbine system; Monte Carlo simulation; backup system; critical industrial load; reliability criteria;
fLanguage :
English
Journal_Title :
Industry Applications, IEEE Transactions on
Publisher :
ieee
ISSN :
0093-9994
Type :
jour
DOI :
10.1109/TIA.2008.2009495
Filename :
4757390
Link To Document :
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