DocumentCode :
1715234
Title :
Electricity Markets under Uncertainty
Author :
Alvarez, Juan ; Ponnambalam, Kumaraswamy ; Quintana, Victor H.
Author_Institution :
Electr. & Comput. Eng. Dept., Univ. of Waterloo, Waterloo, ON
fYear :
2007
Firstpage :
966
Lastpage :
970
Abstract :
In the ideal world, electricity markets are solved under the assumption that all quantities are deterministic. This is the equivalent of assuming that one can perfectly predict future levels of demand and supply. In the real world, the biggest source of uncertainty comes precisely from demand and supply levels. A clear understanding of the economical implications of randomness from supply and demand in electricity markets is still lacking. Random variations of any kind introduce risk. Therefore, one would be interested in somehow minimizing the risk when solving an electricity market. This paper explains the economical implications of minimizing the risk introduced by supply and demand uncertainties. The risk minimization technique used in this work is based on the well known mean-variance Markowitz theory.
Keywords :
minimisation; power markets; random processes; risk management; demand uncertainties; electricity markets; mean-variance Markowitz theory; random variations; risk minimization technique; supply uncertainties; Costs; Design engineering; Economic forecasting; Electricity supply industry; Fuel economy; Power generation economics; Power system economics; Risk management; Supply and demand; Uncertainty; Mean-variance Markowitz theory; random supply and demand curves; risk minimization;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Power Tech, 2007 IEEE Lausanne
Conference_Location :
Lausanne
Print_ISBN :
978-1-4244-2189-3
Electronic_ISBN :
978-1-4244-2190-9
Type :
conf
DOI :
10.1109/PCT.2007.4538446
Filename :
4538446
Link To Document :
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