Title :
Analysis of power plants competitiveness using stochastic methods
Author :
Tomsic, Zeljko ; Feretic, Danilo ; Debrecin, Nenad
Author_Institution :
Dept of Power Syst., Zagreb Univ., Croatia
Abstract :
The paper describes the application of a stochastic method for comparing economic parameters of future electrical power generating systems including conventional and nuclear power plants. The input data for calculation are cost elements defined in the frame of certain limits of expected occurrence with a probability distribution within the limits. The method is applied to establish competitive specific investment costs of future nuclear power plants when compared with combined cycle gas fired units combined with wind electricity generators using best estimated and optimistic input data.
Keywords :
combined cycle power stations; investment; nuclear power stations; power generation economics; stochastic processes; wind power plants; combined cycle gas fired units; economic parameters; electrical power generating systems; investment costs; nuclear power plants; power plant analysis; probability distribution; stochastic methods; wind electricity generators; Cost function; Investments; Nuclear power generation; Power generation; Power generation economics; Power system economics; Probability distribution; Stochastic processes; Stochastic systems; Wind power generation;
Conference_Titel :
Electrotechnical Conference, 2004. MELECON 2004. Proceedings of the 12th IEEE Mediterranean
Print_ISBN :
0-7803-8271-4
DOI :
10.1109/MELCON.2004.1348015