Influence of the Wake Effect on Electrical Dynamics of Commercial Tidal Farms: Application to the Alderney Race (France)

Brutto, Ottavio A. Lo; Barakat, Mahmoud R.; Guillou, Sylvain; Thiebot, Jérôme; Gualous, Hamid

doi:10.1109/tste.2017.2731839

Cited by 10 publications

(4 citation statements)

References 44 publications

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“…Marines cover almost two-thirds of the earth and are rich in renewable energy [1]. Marine current turbines (MCTs) can convert the kinetic energy of marine currents into electrical energy [2].…”

Section: Introductionmentioning

confidence: 99%

An Inequality Indicator for High-Resistance Connection Fault Diagnosis in Marine Current Turbine

Jia

Wang

Tang

2023

JMSE

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Marine current energy is an abundant renewable energy resource. Marine current turbines (MCTs) can convert the kinetic energy of marine currents into electrical energy. However, the variations in the marine currents are violent and complex. These characteristics will be reflected in the variation in the operating condition of MCTs, thus interfering with normal diagnosis for the high-resistance connection (HRC). The HRC can be caused by damaged connections between device components that are easily made due to the harsh marine environment. To diagnose HRC in MCT, an inequality indicator is proposed to quantify the current imbalance caused by HRC. The inequality indicator is defined based on the arithmetic–geometric mean inequality and can identify slight current imbalances in the early stages of HRC. The inequality indicator is robust to the variable operating conditions of the permanent magnet synchronous machine (PMSM) in the MCT. Experimental results show that the inequality indicator can be used to effectively diagnose HRC in the MCT with 100% accuracy. This research will help maintain the health condition of the MCTs and provide some ideas for diagnosis in MCTs. Moreover, the inequality indicator may provide a different approach to the analysis for other faults that can lead to a current imbalance.

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Section: Introductionmentioning

confidence: 99%

An Inequality Indicator for High-Resistance Connection Fault Diagnosis in Marine Current Turbine

Jia

Wang

Tang

2023

JMSE

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“…In recent years, with the increasing energy consumption around the world and the sharp increase of environmental pollution, marine energy has attracted more and more attention around the world due to its high energy density, predictability and relative stability [1]- [3]. Marine current power generation is becoming more attractive and competitive [4], [5], and its technology has made great progress [6], as proved by the number of projects using marine current turbines (MCTs) [7].…”

Section: Introductionmentioning

confidence: 99%

A Wavelet Threshold Denoising-Based Imbalance Fault Detection Method for Marine Current Turbines

Wang²,

Wang³

et al. 2020

IEEE Access

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Blade imbalance fault caused by the marine organisms is considered as the most important fault in marine current turbines. Therefore, it is important to detect the fault accurately and quickly to mitigate its effect, minimize the downtime, and maximize the productivity. Imbalance fault detection methods using generator stator current signals have attracted attentions due to their low cost, operability and stability compared to the ones using vibration analysis. However, it is difficult to extract the fault signature and automatically detect the imbalance fault under different flow velocity conditions. In this paper, a wavelet threshold denoising-based imbalance fault detection method using the stator current is proposed. The signal is analyzed through three consecutive steps: the parameters offline setting based on wavelet threshold denoising, the Hilbert transform method and the Principle Component Analysis-based detection method. With this approach, the imbalance fault can be detected automatically. The imbalance fault detection is assessed under different flow velocity conditions and validated using an experimental platform. The results are promising with false alarm and false negative rates less than 1% and 5% respectively when using Q statistic. Moreover, the experimental results show that the proposed method has good stability under different flow velocity conditions. INDEX TERMS Hilbert transform, imbalance fault, marine current turbine, principle component analysis, wavelet.

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“…Although the place of solar energy remains minimal, it is now promised to grow vigorously worldwide [16]. Tidal energy has also gained popularity recently due to its high predictability [17]. The hydrogen system is chosen as the primary storage system to supply the load during fluctuations.…”

Section: Introductionmentioning

confidence: 99%

Optimal sizing of Marine Current Energy Based Hybrid Microgrid

Lazaar¹,

Fakhri²,

Barakat³

et al. 2020

REPQJ

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This paper presents an optimal sizing of a marine current energy-based hybrid microgrid. For this purpose, a particle swarm optimization (PSO) has been developed on Matlab software. An energy management strategy that takes into account the availability of renewable energy and energy consumption at all times has been implemented to meet demand throughout the year. In order to test the performance of the PSO, the results were compared to those obtained by the genetic algorithm (GA). The standard household load profile is selected to model an island residential loads variation. The Alderney Race (Raz-Blanchard in French) site is chosen as a case study for our marine energy system because its currents are among the highest in the world.

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Influence of the Wake Effect on Electrical Dynamics of Commercial Tidal Farms: Application to the Alderney Race (France)

Cited by 10 publications

References 44 publications

An Inequality Indicator for High-Resistance Connection Fault Diagnosis in Marine Current Turbine

An Inequality Indicator for High-Resistance Connection Fault Diagnosis in Marine Current Turbine

A Wavelet Threshold Denoising-Based Imbalance Fault Detection Method for Marine Current Turbines

Optimal sizing of Marine Current Energy Based Hybrid Microgrid

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