Dimensioning Methodology of Energy Storage Systems for Power Smoothing in a Wave Energy Conversion Plant Considering Efficiency Maps and Filtering Control Techniques

Jorge Torres, Marcos Blanco, Marcos Lafoz, Gustavo Navarro, Jorge Nájera and Miguel Santos-Herran
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Jorge Torres: Centro de Investigaciones Energéticas, Medioambientales y Tecnológicas (CIEMAT), Government of Spain, 28040 Madrid, Spain
Marcos Blanco: Centro de Investigaciones Energéticas, Medioambientales y Tecnológicas (CIEMAT), Government of Spain, 28040 Madrid, Spain
Marcos Lafoz: Centro de Investigaciones Energéticas, Medioambientales y Tecnológicas (CIEMAT), Government of Spain, 28040 Madrid, Spain
Gustavo Navarro: Centro de Investigaciones Energéticas, Medioambientales y Tecnológicas (CIEMAT), Government of Spain, 28040 Madrid, Spain
Jorge Nájera: Centro de Investigaciones Energéticas, Medioambientales y Tecnológicas (CIEMAT), Government of Spain, 28040 Madrid, Spain
Miguel Santos-Herran: Centro de Investigaciones Energéticas, Medioambientales y Tecnológicas (CIEMAT), Government of Spain, 28040 Madrid, Spain

Energies, 2020, vol. 13, issue 13, 1-18

Abstract: This paper aims at presenting and describing a dimensioning methodology for energy storage systems (ESS), in particular for one based on flywheels, applied for the specific application of reducing power oscillation in a wave energy conversion (WEC) plant. The dimensioning methodology takes into account the efficiency maps of the storage technology as well as the effect of the filtering control techniques. The methodology is applied to the case study of a WEC plant in operation in Spain, using real power generation profiles delivered into the electric grid. The paper firstly describes the calculation procedure of the efficiency maps for the particular technology of flywheels, although it could be extended to other storage technologies. Then, the influence of using future data values in the dimensioning process and the control of the ESS operation is analysed in depth. A moving average filter (MAF) is defined to compensate for power oscillations, studying the difference between considering prediction and not doing so. It is concluded that a filtering control using future values based on a number of samples equivalent to a 4-min time order provides an important reduction in the energy storage requirements for a power generation plant. Finally, and based on the selection of storage modules previously defined, the efficiency maps, and the MAF used for delivering the power into the grid, an optimal operation strategy is suggested for the storage modules, based on a stepped switching technique. The selection of four flywheel energy storage system (FESS) modules achieves a reduction of 50% in power oscillations, covering 85% of the frequency excursions at the grid.

Keywords: energy storage; dimensioning; flywheel; efficiency; renewable energies; wave energy (search for similar items in EconPapers)
JEL-codes: Q Q0 Q4 Q40 Q41 Q42 Q43 Q47 Q48 Q49 (search for similar items in EconPapers)
Date: 2020
References: View complete reference list from CitEc
Citations: View citations in EconPapers (1)

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