Modelling and Control of Tidal Energy Conversion Systems with Long Distance Converters

Sousounis, Marios Charilaos; Shek, Jonathan; Mueller, Markus

doi:10.1049/cp.2014.0367

Cited by 8 publications

(16 citation statements)

References 15 publications

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“…On the grid side, the LV output of the inverter is first filtered and then a step-up transformer is used in order to match the high voltage of the grid. The modeling aspects of this system are described in [17]. In this paper, cable and flow modeling will be described in more depth.…”

Section: Modeling Of the Proposed Tccsmentioning

confidence: 99%

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Filter Design for Cable Overvoltage and Power Loss Minimization in a Tidal Energy System With Onshore Converters

Sousounis

Shek

Mueller

2016

IEEE Trans. Sustain. Energy

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By moving the back-to-back ac-dc-ac converters in a tidal current conversion system (TCCS) onshore, maintenance requirements and cost are reduced significantly. This is because underwater components are not easily accessible and operate in a harsh environment. In addition to increased maintainability, the concept of long-distance controls offers maximum power capture from the tidal currents in the same way that a converter in the nacelle would offer. However, a number of challenges are associated with the concept of controlling electrical machines through long cables, which include electromagnetic traveling waves in the cables and system resonance. These phenomena can induce overvoltages at the generator terminals which can lead to system failure and high harmonics that can induce extra power losses. The major contribution of this paper is a new method of filter design for systems with long-distance controls and for minimization of system power loss. The proposed method is validated by developing a full resource-to-grid TCCS in MATLAB/Simulink. Simulation results show that using the proposed method, overvoltage mitigation can be achieved in the same way as literature-based filters, but at the same time, minimize the total system losses. The results from the analysis can be used to optimize tidal energy conversion systems with a similar electrical configuration.

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Section: Modeling Of the Proposed Tccsmentioning

confidence: 99%

“…8. Based on (15)- (17), by changing f tuned , we can obtain the capacitor and inductor values needed to design the filter. Fig.…”

Section: ) Capacitor Resistor Inductor Termination (Crl)mentioning

confidence: 99%

Filter Design for Cable Overvoltage and Power Loss Minimization in a Tidal Energy System With Onshore Converters

Sousounis

Shek

Mueller

2016

IEEE Trans. Sustain. Energy

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“…For reference this is chosen to be the 0 degrees. The control structure of the pitching system developed is published in [88] and is shown in…”

Section: Pitch Controlmentioning

confidence: 99%

“…The conference paper entitled "Modelling and control of tidal energy conversion systems with long distance converters" [88] discusses the resource-to-grid modelling of a single TCCS that uses SCIG with long distance controls which is presented in The conference paper entitled "Comparison of permanent magnet synchronous and induction generator for a tidal current conversion system with onshore converters" [60] compares the SCIG and the PMSG options for a resource-to-grid TCCS with long distance controls. The modelling and control of the generators are presented in Chapter 3 and the results from this study are linked to Chapter 5.…”

Section: Contribution To Knowledgementioning

confidence: 99%

Modelling, control and frequency domain analysis of a tidal current conversion system with onshore converters

Sousounis

Shek

Mueller

2016

IET Renewable Power Generation

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I would like to thank my supervisor Dr. Jonathan Shek for his close supervision, informative discussions, understanding of the problems I faced and advice throughout my PhD research. Also, I would like to thank my second supervisor, Markus Mueller, for the opportunity and the support to study and carry out research at the University of Edinburgh. His guidance and support at the initial, and at the same time difficult, stages of the PhD were crucial for the progress of the research. In addition, I would like to thank Andritz Hydro Hammerfest for the financial support as well as the information, data and advice received regarding my research. My research was also financially supported by the Institute for Energy Systems of the University of Edinburgh. Finally, I would like to thank all my friends and colleagues for the discussions we had, the different perspectives they gave me to approach problems and most importantly by making my everyday life during the last four years enjoyable.

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“…The RSC control is used to keep the generator speed at its reference signal and the GSC control is dedicated to ensuring that the DC-link voltage remains constant [20,21]. In the literature, the PI controller has been used to control the operation of the marine current turbine through the back-to-back power converter aiming to maximize the captured energy [22]. One can envisage two designs: the torque and rotational speed control loops.…”

Section: Introductionmentioning

confidence: 99%

Hybrid Neural Fuzzy Design-Based Rotational Speed Control of a Tidal Stream Generator Plant

et al. 2018

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Artificial Intelligence techniques have shown outstanding results for solving many tasks in a wide variety of research areas. Its excellent capabilities for the purpose of robust pattern recognition which make them suitable for many complex renewable energy systems. In this context, the Simulation of Tidal Turbine in a Digital Environment seeks to make the tidal turbines competitive by driving up the extracted power associated with an adequate control. An increment in power extraction can only be archived by improved understanding of the behaviors of key components of the turbine power-train (blades, pitch-control, bearings, seals, gearboxes, generators and power-electronics). Whilst many of these components are used in wind turbines, the loading regime for a tidal turbine is quite different. This article presents a novel hybrid Neural Fuzzy design to control turbine power-trains with the objective of accurately deriving and improving the generated power. In addition, the proposed control scheme constitutes a basis for optimizing the turbine control approaches to maximize the output power production. Two study cases based on two realistic tidal sites are presented to test these control strategies. The simulation results prove the effectiveness of the investigated schemes, which present an improved power extraction capability and an effective reference tracking against disturbance.

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Modelling and Control of Tidal Energy Conversion Systems with Long Distance Converters

Cited by 8 publications

References 15 publications

Filter Design for Cable Overvoltage and Power Loss Minimization in a Tidal Energy System With Onshore Converters

Filter Design for Cable Overvoltage and Power Loss Minimization in a Tidal Energy System With Onshore Converters

Modelling, control and frequency domain analysis of a tidal current conversion system with onshore converters

Hybrid Neural Fuzzy Design-Based Rotational Speed Control of a Tidal Stream Generator Plant

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