DocumentCode
3048946
Title
Power system reliability considering combined cycle plants
Author
Alemany, J.M. ; Moitre, D. ; Magnago, F.
Author_Institution
Grupo de Analisis del Sistema Electrico de Potencia (GASEP), Univ. Nac. de Rio Cuarto, Cordoba
fYear
2008
fDate
13-15 Aug. 2008
Firstpage
1
Lastpage
5
Abstract
In the nineties in Argentina, the growth of thermal power generation was mainly based on the construction of combined cycle plants. Currently, one problem associated with the use of combined cycle plants is the fact that they need to share the use of natural gas with commercial, industrial, importations, and domestic uses. Hence, the natural gas availability is becoming a critical issue. Therefore, power system reliability studies must consider fuel availability into the models. Reliability models should take into account joint operation of electrical generation and natural gas systems. The aim of this paper is to evaluate the influence of combined cycle plants on reliability studies applied to system generation capacity and their dependency on natural gas availability. Monte Carlo simulation method is used to determine reliability indices such as Loss of Load Expectation, Loss of Energy Expectation, Loss of Load Frequency, and Loss of Load Duration. The IEEERTS96 modified is utilized for combined cycle plants representation.
Keywords
Monte Carlo methods; combined cycle power stations; power generation reliability; IEEERTS96; Monte Carlo simulation; combined cycle plants; energy expectation; fuel availability; load duration; load expectation; load frecuency; natural gas availability; power system reliability; system generation capacity; thermal power generation; Availability; Construction industry; Frequency; Fuels; Gas industry; Natural gas; Natural gas industry; Power generation; Power system modeling; Power system reliability; Combined cycle plants; Monte Carlo simulation; Reliability studies;
fLanguage
English
Publisher
ieee
Conference_Titel
Transmission and Distribution Conference and Exposition: Latin America, 2008 IEEE/PES
Conference_Location
Bogota
Print_ISBN
978-1-4244-2217-3
Electronic_ISBN
978-1-4244-2218-0
Type
conf
DOI
10.1109/TDC-LA.2008.4641796
Filename
4641796
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