Improving the Performance of Controllers for Wind Turbines on Semi-Submersible Offshore Platforms: Fuzzy Supervisor Control

Pablo Zambrana, Javier Fernandez-Quijano, J. Jesus Fernandez-Lozano, Pedro M. Mayorga Rubio and Alfonso J. Garcia-Cerezo
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Pablo Zambrana: Departamento de Ingeniería de Sistemas y Automática, Universidad de Málaga, Av. de Cervantes, 2, 29016 Málaga, Spain
Javier Fernandez-Quijano: EnerOcean S.L., Bulevar Louis Pasteur 5, Of. 321, 29010 Málaga, Spain
J. Jesus Fernandez-Lozano: Departamento de Ingeniería de Sistemas y Automática, Universidad de Málaga, Av. de Cervantes, 2, 29016 Málaga, Spain
Pedro M. Mayorga Rubio: EnerOcean S.L., Bulevar Louis Pasteur 5, Of. 321, 29010 Málaga, Spain
Alfonso J. Garcia-Cerezo: Departamento de Ingeniería de Sistemas y Automática, Universidad de Málaga, Av. de Cervantes, 2, 29016 Málaga, Spain

Energies, 2021, vol. 14, issue 19, 1-17

Abstract: The use of sea wind energy is restricted by the limited availability of suitable sites in shallow waters. To overcome this challenge, wind turbines located on offshore semi-submersible platforms appear as a valuable option, as they also allow the exploitation of other resources like wave energy or aquaculture. Nevertheless, the literature addressing this kind of design is scarce, and the interactions of the wind turbine and the platform movements increase the complexity of the control system with respect to the wind turbines with fixed foundations. Within this context, fuzzy control is a promising alternative to deal with these issues. However, while fuzzy controllers can be an alternative to substitute conventional PI control, the latter is a well-known, robust choice for operators. In this sense, fuzzy controllers can be designed to work in collaboration with PI controllers to ease their adoption. To this end, this paper addresses those gaps in the literature by presenting a methodology, its application to enhance controllers for large-scale wind turbines in semi-submersible offshore platforms and the results attained. The methodology is based on the implementation of an integrated simulation tool, together with the definition of three indexes that describe the performance of the control system in the overall platform behaviour regarding key aspects of its exploitation. Using it, an Anti-Wind-Up algorithm was designed to improve the behaviour of the conventional controller and is presented and evaluated along a fuzzy supervisor controller. In this kind of configuration, the fuzzy controller modifies the values of the PI controller. Finally, a comparison of the performance using the reference PI and the improved PI, in both cases together with a fuzzy supervisor controller modifying their values, is presented and discussed, contributing to extend the state of the art of controllers for large-scale wind turbines on offshore semi-submersible platforms.

Keywords: floating offshore wind turbines (FOW); modelling and control of FOW; renewable energy systems; PID control; fuzzy control (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: 2021
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (1)

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