Title :
Building the Optimal Contract Portfolio under Non-Probabilistic Uncertainties
Author :
Pinto, L. ; Fernandez, M. ; Macêdo, L.H. ; Szczupak, J.
Author_Institution :
Engenho, Rio de Janeiro
Abstract :
This paper proposes an integrated solution to the optimum portfolio building considering price and demand uncertainties. More than simply assessing risks, the proposed approach opens the possibility of a real and effective risk management, including maximum risk levels as optimization constraints. The resulting model corresponds to a stochastic non-linear integer programming problem and is solved by a customized algorithm, designed for efficiency and reliability. Possible extensions (targeting special markets customization) are straightforward and may be easily taken into account.
Keywords :
integer programming; power system economics; risk analysis; stochastic programming; nonprobabilistic uncertainties; optimal contract portfolio; risk assessment; risk management; stochastic nonlinear integer programming problem; Contracts; Demand forecasting; Economic forecasting; Input variables; Load forecasting; Portfolios; Power generation economics; Risk analysis; Risk management; Uncertainty; Energy Portfolio Contracts; Energy Trading; Risk Management; Scenario Forecasts;
Conference_Titel :
Power Tech, 2007 IEEE Lausanne
Conference_Location :
Lausanne
Print_ISBN :
978-1-4244-2189-3
Electronic_ISBN :
978-1-4244-2190-9
DOI :
10.1109/PCT.2007.4538665