DocumentCode
2538910
Title
Stochastic modeling of the long-term dynamics of liberalized electricity markets
Author
Olsina, Fernando ; Garcés, Francisco F.
Author_Institution
CONICET at the Inst. of Electr. Energy (IEE), Nat. Univ. of San Juan (UNSJ), San Martin
fYear
2008
fDate
20-24 July 2008
Firstpage
1
Lastpage
6
Abstract
Currently, long-term prices and long-term supply reliability are topics of considerable interest for both, firms investing in generation capacity and regulatory authorities. In order to gain insight into the long-term behavior of liberalized power markets, a simulation model based on system dynamics (SD) is proposed. It is shown that the long-term market dynamics can be represented by a balancing feedback loop. Stochastic simulations on an exemplary thermal system are performed. Results suggest that there might be serious problems to adjust early enough the generation capacity to maintain secure reserve margins, and consequently, stable long-term price levels. Because of the existence of time lags in the market balancing feedback loop, the long-term market development might exhibit a quite volatile behavior. By applying stochastic simulation techniques, the ability of the developed SD model for describing the long-term market uncertainty is demonstrated.
Keywords
power generation economics; power markets; stochastic processes; electricity market liberalization; feedback loop balancing; generation capacity; long-term market uncertainty; long-term supply reliability; regulatory authorities; stochastic simulation techniques; system dynamics; Analytical models; Delay; Electricity supply industry; Equations; Feedback loop; Mathematical model; Power markets; Power system modeling; Stochastic processes; Stochastic systems; System Dynamics; generation investments; power market; stochastic simulation;
fLanguage
English
Publisher
ieee
Conference_Titel
Power and Energy Society General Meeting - Conversion and Delivery of Electrical Energy in the 21st Century, 2008 IEEE
Conference_Location
Pittsburgh, PA
ISSN
1932-5517
Print_ISBN
978-1-4244-1905-0
Electronic_ISBN
1932-5517
Type
conf
DOI
10.1109/PES.2008.4596502
Filename
4596502
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