Optimization of Hybrid Solar Wind Power Systems

Issue title: OIPE 2006

Article type: Research Article

Authors: Dilettoso, Emanuele^{a; *} | Gagliano, Salvina^a | Salerno, Nunzio^a | Tina, Giuseppe Marco^a

Affiliations: [a] Dipartimento di Ingegneria Elettrica Elettronica e dei Sistemi (DIEES), Università di Catania, V.le A. Doria 6, I-95125 Catania, Italy

Correspondence: [*] Corresponding author. Tel.: +39 95 738 2332; Fax: +39 95 330793; E-mail: [email protected]

Abstract: The paper proposes a new method for the optimized design of grid-connected Hybrid Solar Wind Power Systems (HSWPS). The optimization objectives are maximization of the economic efficiency and performance of the system. Evaluation of the objectives, related to assessment of the long-term performance of the system, is performed by means of a probabilistic model. Two different stochastic algorithms proved to be suitable for the optimization: Particle Swarm Optimization and Genetic Algorithms. The proposed strategy was applied to real systems, obtaining good solutions at low computational costs.

Keywords: Hybrid Solar Wind Power Systems, multi-objective optimization, Genetic Algorithm (GA), Particle Swarm Optimization (PSO)

DOI: 10.3233/JAE-2007-912

Journal: International Journal of Applied Electromagnetics and Mechanics, vol. 26, no. 3-4, pp. 225-231, 2007