Abstract

An integrated analysis is required to evaluate the performance of control algorithms used in power take-off (PTO) systems for floating wave energy converters (FWECs). However, research on PTO systems based on the existing hydraulic device has mainly focused on the input power generation performance rather than on obtaining maximum power through hydraulic device-based electrical load control. The power generation performance is analyzed based on the control variables of the existing torque control algorithm (TCA); however, the amount of power generation for each control variable changes significantly based on the cycle of wave excitation moments. This paper proposes a control algorithm to obtain the maximum power by modeling a hydraulic-device-based integrated FWEC. It also proposes a TCA that can obtain the maximum power regardless of the period of wave excitation moment. The proposed TCA continuously monitors the power generation output and changes the PTO damping coefficient in the direction in which the power generation output can be increased. The proposed TCA increased the output power generation by up to 18% compared to each PTO damping coefficient of the conventional TCA. Thus, the proposed method results in higher power generation regardless of the wave excitation moment cycle and performs better than the existing torque control algorithm.

Highlights

  • The concept of floating wave energy converters (FWECs) is based on the extraction of wave energy using floating bodies in the sea

  • It is to to change the teristics, it includes components of various periods. It difficult is difficult change the PTOdamping dampcoefficient according to the period of the wave excitation moment, the conventional ing coefficient according to the period of the wave excitation moment, the convenTCA

  • The movement of the floating body in the same wave conditions changed in response to the power take-off (PTO) system characteristics based on the maximum power point tracking (MPPT)

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Summary

Introduction

The concept of floating wave energy converters (FWECs) is based on the extraction of wave energy using floating bodies in the sea. There are various types of FWECs [1,2,3] Such as the WaveStar, AquaBuoy, PowerBuoy, Pelamis, etc. In a FWEC, the floating body is moved using wave energy, and the power take-off (PTO) system generates electricity using the motion of the floating body. The results obtained from the Wavestar, a representative FWEC, show that a bidirectional load torque of 1 MNm is required to extract an average of 27 kW of electricity [4,5]. A wave energy converter has a factor of 10 or greater between the average and peak power [6]. Energy storage is required to store the energy peaks and maintain the variability in the wave energy using an electrical energy storage system and supercapacitor [7,8,9]

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