Abstract

In this paper, an improved Maximum Power Point Tracking (MPPT) algorithm for a tidal power generation system using a Support Vector Regression (SVR) is proposed. To perform this MPPT, a tidal current speed sensor is needed to track the maximum power. The use of these sensors has a lack of reliability, requires maintenance, and has a disadvantage in terms of price. Therefore, there is a need for a sensorless MPPT control algorithm that does not require information on tidal current speed and rotation speed that improves these shortcomings. Sensorless MPPT control methods, such as SVR, enables the maximum power to be output by comparing the relationship between the output power and the rotational speed of the generator. The performance of the SVR is influenced by the selection of its parameters which is optimized during the offline training stage. SVR has a strength and better response than the neural network since it ensures the global minimum and avoids being stuck at local minima. This paper proposes a high-efficiency grid-connected tidal current generation system with a permanent magnet synchronous generator back-to-back converter. The proposed algorithm is verified experimentally and the results confirm the excellent control characteristics of the proposed algorithm.

Highlights

  • Tidal power generation has recently been spotlighted as an alternative energy that can solve the problem of energy depletion while minimizing environmental deterioration

  • This paper proposes a high-efficiency grid-connected tidal current generation system with a permanent magnet synchronous generator back-to-back converter

  • The generator-side converter uses maximum power point tracking (MPPT) control to produce the maximum amount of incoming power, and the grid-side inverter performs power control to reliably send the power produced by the converter to the grid

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Summary

Introduction

Tidal power generation has recently been spotlighted as an alternative energy that can solve the problem of energy depletion while minimizing environmental deterioration. In most conventional systems only an AC–DC converter is used to conpower provided by the generator In this control, maximum power point tracking (MPPT). MPPT instantaneous torque or speed control used to track the maximum powerconditions, of tidal energy systems (TECS) [9]. Among the most critical problems faced in the development of P&O-type MPPT, dimensioning the size of the disturbance step is complex The determination of this variable is done taking into account the mechanical dynamics of the system, in addition to the precision with which it is desired to find the point of maximum power. In TSR method, this controller regulates the speed of the turbine in order to keep it at TSR in its optimum value This system requires a tidal current speed sensor, contributing to the increase in system complexity and rising costs [3,15,16]. The obtained relationship is used online to estimate the maximum power point without measuring the tide speed

Mathematical Model of Tidal Energy System
The Mathematical Model of Tidal Turbine
PMSG Modeling
Grid-Side Control
SVR Algorithm
MPPT Using SVR
Results
Conclusions
Full Text
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