scholarly journals Maximum Power Point Tracking for a Point Absorber Device with a Tubular Linear Switched Reluctance Generator

Energies ◽  
2018 ◽  
Vol 11 (9) ◽  
pp. 2192 ◽  
Author(s):  
Rui Mendes ◽  
Maria Calado ◽  
Sílvio Mariano

This paper addresses the control of a Tubular Linear Switched Reluctance Generator (TLSRG) with application in a point absorber device. A maximum power point tracking (MPPT) strategy is proposed to maximize the power extraction from ocean waves. The generator is characterized by average maximum force of 120 kN and a maximum velocity of 1.3 m/s. The proposed MPPT is achieved by changing the generator damping load according to the excitation force induced by a regular wave. A hysteresis controller is applied to regulate the phase current intensity which allows the control of the linear force provided by the generator. The conversion system direct current (DC) bus voltage is adjusted by an isolated DC/DC converter with a proportional integral controller to define the appropriate duty-cycle.

2020 ◽  
pp. 0309524X2094826
Author(s):  
Sami Kahla ◽  
Mohcene Bechouat ◽  
Toufik Amieur ◽  
Moussa Sedraoui ◽  
Badreddine Babes ◽  
...  

The most important issue in the use of wind energy conversion systems is to ensure maximum power extraction in terms of efficiency. Therefore, maximum power point tracking algorithms are as important as the maximum power point tracking controller. In this study, maximum power extraction frameworks operating the state-of-the-art optimization methods are presented for permanent magnet synchronous generator–based wind energy conversion system. These frameworks consist of a Gauss map–based chaotic particle swarm optimization and a hybrid maximum power point tracking approach that combines feedback linearization technique with fractional-order calculus. The feedback linearization control strategy can fully decouple and linearize the original state variables of the nonlinear system and thus provide an optimal controller crossing wide-range operating conditions. The objective is to maintain the tip speed ratio at its optimal value, which implies the use of a rotational speed loop. The method is based on the feedback linearization technique and the fractional control theory. Gauss map–based chaotic particle swarm optimization, which is a remarkable and recent optimization technique, is utilized to achieve optimum coefficients to efficiently ensure the maximum power point tracking operation in here. A simulation study is carried out on a 3-kW wind energy conversion system to show the effectiveness of the proposed control scheme.


Energies ◽  
2020 ◽  
Vol 13 (12) ◽  
pp. 3233
Author(s):  
Anjan Debnath ◽  
Temitayo O. Olowu ◽  
Imtiaz Parvez ◽  
Md Golam Dastgir ◽  
Arif Sarwat

The maximum power point tracking (MPPT) algorithm has become an integral part of many charge controllers that are used in photovoltaic (PV) systems. Most of the existing algorithms have a compromise among simplicity, tracking speed, ability to track accurately, and cost. In this work, a novel “straight-line approximation based Maximum Power Point (MPP) finding algorithm” is proposed where the intersections of two linear lines have been utilized to find the MPP, and investigated for its effectiveness in tracking maximum power points in case of rapidly changing weather conditions along with tracking speed using standard irradiance and temperature curves for validation. In comparison with a conventional Perturb and Observe (P&O) method, the Proposed method takes fewer iterations and also, it can precisely track the MPP s even in a rapidly varying weather condition with minimal deviation. The Proposed algorithm is also compared with P&O algorithm in terms of accuracy in duty cycle and efficiency. The results show that the errors in duty cycle and power extraction are much smaller than the conventional P&O algorithm.


Solar Photo Voltaic system are used for power generation by the process of photovoltaic effect. The solar power is varying continuously on a particular day due the variations in the temperature and irradiances. To overcome the power loss of PV system maximum power point tracking techniques are used to generate maximum solar power . Generally digital signal processors are used for implementing maximum power point tracking algorithms, but the performance is limited. The high degree of flexibility is achieved by the use of field-programmable gate arrays (FPGA) chips. The PV systems are used to provide stable and reliable power. The paper presents the single-phase implementation of the grid connected PV system and FPGS based P&O MPPT algorithm. The proposed system consists of P&O MPPT algorithm for maximum solar power extraction, bi-directional DC-DC converter for is used for controlling the battery. The solar power is used to serve the connected load and the excess power is used for serving grid utility. The single-phase inverter is used for DC-AC conversion. The Xilinx ISE is used for simulation of MPPT algorithm. The grid connected PV system is simulated using MATLAB/SIMULINK.


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