DocumentCode
696282
Title
Novel approach to generation Portfolio Optimization by using genetic algorithms and stochastic methods
Author
Di Giorgio, Alessandro ; Mercurio, Andrea ; Pimpinella, Laura
Author_Institution
Dept. of Comput. & Syst. Sci., Univ. of Rome Sapienza, Rome, Italy
fYear
2009
fDate
23-26 Aug. 2009
Firstpage
3196
Lastpage
3201
Abstract
In this paper we present the Portfolio Optimization Problem in the electricity generation framework. We consider traditional and fully controllable energy sources together with wind source, strongly supported by economical benefits but exposed to intermittent generation volatility. Due to the statistical uncertainty about parameters, we formalize the optimization problem in a probabilistic sense and solve it by using Genetic Algorithms.
Keywords
genetic algorithms; investment; power generation economics; probability; stochastic processes; wind power plants; electricity generation portfolio optimization problem; energy sources; genetic algorithms; intermittent generation volatility; statistical uncertainty; stochastic methods; wind source; Coal; Genetic algorithms; Green products; Investment; Optimization; Portfolios; Power generation; Generation Company; Genetic Algorithms; Monte Carlo method; Net Present Value; Portfolio;
fLanguage
English
Publisher
ieee
Conference_Titel
Control Conference (ECC), 2009 European
Conference_Location
Budapest
Print_ISBN
978-3-9524173-9-3
Type
conf
Filename
7074897
Link To Document