DocumentCode :
1683807
Title :
Reliability assessment of a backup gas turbine generation system for a critical industry load using a Monte Carlo simulation model
Author :
Chowdhury, A.A. ; Koval, D.O.
Author_Institution :
Electr. Syst. Planning, MidAmerican Energy Co., Davenport, IA, USA
Volume :
4
fYear :
2004
Firstpage :
2155
Abstract :
The Alberta interconnected system (AIS) forms a single integrated transmission network serving the province of Alberta. A number of large critical industrial loads are served by the AIS. These loads operate twenty-four hours a day and seven days a week. The 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 it operating demands in the case of Alberta grid failure. The basic objective of This work 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 turbines; industrial power systems; power generation reliability; power system interconnection; standby generators; transmission networks; 72 kV; Alberta interconnected system; Monte Carlo simulation; backup gas turbine generation system; backup generation system; critical industrial load; grid failure; integrated transmission network; plant reliability criteria; provincial grid; Costs; Electricity supply industry; Gas industry; Interconnected systems; Manufacturing industries; Mesh generation; Power supplies; Power system reliability; Standby generators; Turbines;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Industry Applications Conference, 2004. 39th IAS Annual Meeting. Conference Record of the 2004 IEEE
ISSN :
0197-2618
Print_ISBN :
0-7803-8486-5
Type :
conf
DOI :
10.1109/IAS.2004.1348775
Filename :
1348775
Link To Document :
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