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.
Novel approach to generation Portfolio Optimization by using genetic algorithms and stochastic methods / Di Giorgio, A.; Mercurio, A.; Pimpinella, L.. - (2014), pp. 3196-3201. (Intervento presentato al convegno 2009 10th European Control Conference, ECC 2009 tenutosi a Budapest; Hungary).
Novel approach to generation Portfolio Optimization by using genetic algorithms and stochastic methods
Di Giorgio A.
;Mercurio A.
;Pimpinella L.
2014
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.| File | Dimensione | Formato | |
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