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.

A Novel Approach to Generation Portfolio Optimization by using Genetic Algorithms and Stochastic Methods

DI GIORGIO, ALESSANDRO;PIMPINELLA, Laura
2009

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.
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Utilizza questo identificativo per citare o creare un link a questo documento: http://hdl.handle.net/11573/323151
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