Dynamic performance evaluation of photovoltaic power plant by stochastic hybrid fault tree automaton model

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Chiacchio, Ferdinando and Famoso, Fabio and D'Urso, Diego and Brusca, Sebastian and Aizpurua, Jose Ignacio and Cedola, Luca (2018) Dynamic performance evaluation of photovoltaic power plant by stochastic hybrid fault tree automaton model. Energies, 11 (2). 306. ISSN 1996-1073 (https://doi.org/10.3390/en11020306)

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Abstract

The contribution of renewable energies to the reduction of the impact of fossil fuels sources and especially energy supply in remote areas has occupied a role more and more important during last decades. The estimation of renewable power plants performances by means of deterministic models is usually limited by the innate variability of the energy resources. The accuracy of energy production forecasting results may be inadequate. An accurate feasibility analysis requires taking into account the randomness of the primary resource operations and the effect of component failures in the energy production process. This paper treats a novel approach to the estimation of energy production in a real photovoltaic power plant by means of dynamic reliability analysis based on Stochastic Hybrid Fault Tree Automaton (SHyFTA). The comparison between real data, deterministic model and SHyFTA model confirm how the latter better estimate energy production than deterministic model.

ORCID iDs

Chiacchio, Ferdinando, Famoso, Fabio, D'Urso, Diego, Brusca, Sebastian, Aizpurua, Jose Ignacio ORCID logoORCID: https://orcid.org/0000-0002-8653-6011 and Cedola, Luca;
CORE (COnnecting REpositories)