Dimensioning methodology for energy storage devices and wave energy converters supplying isolated loads

Lafoz, Marcos; Blanco, Marcos; Beloqui, Lucia; Navarro, Gustavo; Moreno‐Torres, Pablo

doi:10.1049/iet-rpg.2016.0074

Cited by 13 publications

(11 citation statements)

References 40 publications

Supporting

Mentioning

Contrasting

Unclassified

Order By: Relevance

“…One suitable methodology was presented for the design of a certain wave energy converter and the calculation of a certain stochastic model of the latter necessary for the subsequent sizing of the ESS. The methodology was defined and was based on the scatter diagram of a certain location and the analysis of the sea states [24].…”

Section: B Stochastic Analysis Based Sizing Methodsmentioning

confidence: 99%

Deterministic System Analysis to Guarantee Worst Case Performance for Optimal ESS and PV Sizing

Yang

Choi

2019

IEEE Access

View full text Add to dashboard Cite

In this paper, we propose a deterministic system analysis that guarantees a profit by developing a system calculus with deterministic bounds. A system analysis model is required to guarantee a minimum profit and ensure stable investments in the energy storage system (ESS) and photovoltaic (PV) by the third-party operators. The deterministic system analysis guarantees the worst case performance and determines the optimal ESS and PV capacity with an optimization problem through a smart grid system analysis. The proposed approach can be used as an analytical tool to determine the investment cost for a third-party operator and guarantee investment-based return by presenting the optimal ESS and PV capacity in a smart grid system.

show abstract

Section: B Stochastic Analysis Based Sizing Methodsmentioning

confidence: 99%

Deterministic System Analysis to Guarantee Worst Case Performance for Optimal ESS and PV Sizing

Yang

Choi

2019

IEEE Access

View full text Add to dashboard Cite

show abstract

“…For this study, a model has been developed using MATLAB-Simulink that includes the power generation data from the wave power plant for just over a month, the storage system based on several units of a real SC cabinet and the profile of the power that is exchanged with the electrical grid to comply with the different grid codes [54]. The ESS reference power profile is the result of subtracting the power from the generation plant and the target power profile to be injected into the grid [55,56].…”

Section: Scheme Of the Model Elaborated In Simulink-matlab And Its Inmentioning

confidence: 99%

Dimensioning Methodology of an Energy Storage System Based on Supercapacitors for Grid Code Compliance of a Wave Power Plant

et al. 2021

Self Cite

View full text Add to dashboard Cite

The aim of this paper is to present a methodology for dimensioning an energy storage system (ESS) to the generation data measured in an operating wave energy generation plant connected to the electric grid in the north of Spain. The selection criterion for the ESS is the compliance of the power injected into the grid with a specific active-power ramp-rate limit. Due to its electrical characteristics, supercapacitor (SC) technology is especially suitable for this application. The ESS dimensioning methodology is based on a mathematical model, which takes into account the power generation system, the chosen ramp-rate limit, the ESS efficiency maps and electrical characteristics. It allows one to evaluate the number of storage cabinets required to satisfy the needs described, considering a compromise between the number of units, which means cost, and the reliability of the storage system to ensure the grid codes compliance. Power and energy parameters for the ESS are obtained from the calculations and some tips regarding the most efficient operation of the SC cabinets, based on a stepped switching strategy, are also given. Finally, some conclusions about the technology selection will be updated after the detailed analysis accomplished.

show abstract

“…Such accuracy could be further improved through representative sea state selection [50]. In addition, PDFs of the mechanical variables are useful to design auxiliary devices such as end-stops, brakes or a back-up energy systems [52]; for example, statistical information about the overstroke probability gives information about the expected number of impacts per unit of time.…”

Section: Wec Prime-mover Stochastic Model For Irregular-wave Analysismentioning

confidence: 99%

Meta‐heuristic optimisation approach for wave energy converter design by means of a stochastic hydrodynamic model

Blanco

Santos-Herrán

Navarro

et al. 2021

IET Renewable Power Gen

Self Cite

View full text Add to dashboard Cite

A methodology to automate the sizing of a wave energy converter (WEC) is presented. The preliminary design of WEC geometry is addressed as a mathematical program by means of a meta-heuristic optimisation, which includes as key aspects the use of a multi-objective differential evolutionary (DE) algorithm and the implementation of a stochastic hydrodynamic model of the WEC. In this methodology, the WEC concept, the control strategy, the power takeoff characteristics and the location have been taken into consideration due to their strong influence on the WEC design. As a case example, a real project has been selected, and the methodology has been applied to two test locations. Stochastic models are used to handle irregular sea states and to obtain statistical information while reducing the calculation effort when compared to time-domain models. The output derived from the proposed methodology is a set of feasible solutions so-called Pareto frontier. These solutions can be used as inputs for a detailed design process. Data from real projects could be used to further develop the sizing methodology by improving the algorithm convergence, refining the requirements, or including new restrictions. This is an open access article under the terms of the Creative Commons Attribution License, which permits use, distribution and reproduction in any medium, provided the original work is properly cited.

show abstract

Dimensioning methodology for energy storage devices and wave energy converters supplying isolated loads

Cited by 13 publications

References 40 publications

Deterministic System Analysis to Guarantee Worst Case Performance for Optimal ESS and PV Sizing

Deterministic System Analysis to Guarantee Worst Case Performance for Optimal ESS and PV Sizing

Dimensioning Methodology of an Energy Storage System Based on Supercapacitors for Grid Code Compliance of a Wave Power Plant

Meta‐heuristic optimisation approach for wave energy converter design by means of a stochastic hydrodynamic model

Contact Info

Product

Resources

About