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Stochastic Rating of Storage Systems in Isolated Networks with Increasing Wave Energy Penetration
Marine Energy Area, Tecnalia Research & Innovation, Parque Tecnológico de Bizkaia, C/Geldo, Edificio 700, Derio 48160, Spain
Department of Electric Power Engineering, Norwegian University of Science and Technology (NTNU), O.S. Bragstads plass 2, Trondheim 7491, Norway
Fred Olsen, Fred. Olsens Gate 2, Oslo 0152, Norway
* Author to whom correspondence should be addressed.
Received: 27 March 2013; in revised form: 24 April 2013 / Accepted: 25 April 2013 / Published: 15 May 2013
Abstract: The future success of wave energy in the renewable energy mix depends on the technical advancements of the specific components and systems, on the grid access availability and, ultimately, on the economical profitability of the investment. Small and remote islands represent an ideal framework for wave energy exploitation, due both to resource availability and to the current high cost of electricity that mostly relies on diesel generation. Energy storage can be the enabling technology to match the intermittent power generation from waves to the energy needs of the local community. In this paper real data from La Palma, in the Canary Islands, are used as a basis for the considered test case. As a first step the study quantifies the expected power production from Wave Energy Converter (WEC) arrays, based on data from the Lifesaver point absorber developed by Fred. Olsen. Then, a stochastic optimization approach is applied to evaluate the convenience of energy storage introduction for reducing the final cost of energy and to define the corresponding optimal rating of the storage devices.
Keywords: wave energy; energy storage; isolated network; weak grid; wave farm; wave energy converter; point absorber; wave array; stochastic approach; wave/diesel system
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MDPI and ACS Style
Tedeschi, E.; Sjolte, J.; Molinas, M.; Santos, M. Stochastic Rating of Storage Systems in Isolated Networks with Increasing Wave Energy Penetration. Energies 2013, 6, 2481-2500.
Tedeschi E, Sjolte J, Molinas M, Santos M. Stochastic Rating of Storage Systems in Isolated Networks with Increasing Wave Energy Penetration. Energies. 2013; 6(5):2481-2500.
Tedeschi, Elisabetta; Sjolte, Jonas; Molinas, Marta; Santos, Maider. 2013. "Stochastic Rating of Storage Systems in Isolated Networks with Increasing Wave Energy Penetration." Energies 6, no. 5: 2481-2500.