Pitch angle control for a small-scale Darrieus vertical axis wind turbine with straight blades (H-Type VAWT)

This paper proposes an artificial neural network (ANN) based maximum power point tracking (MPPT) control strategy for wind energy conversion system (WECS) implemented with a DC/DC converter. The proposed topology utilizes a radial basis function network (RBFN) based neural network control strategy to extract the maximum available power from the wind velocity. The results are compared with a classical Perturb and Observe (P&O) method and Back propagation network (BPN) method. In order to achieve a high voltage rating, the system is implemented with a quadratic boost converter and the performance of the converter is validated with a boost and single ended primary inductance converter (SEPIC). The performance of the MPPT technique along with a DC/DC converter is demonstrated using MATLAB/Simulink.

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Neural Network Based Maximum Power Point Tracking Control with Quadratic Boost Converter for PMSG—Wind Energy Conversion System

In this paper, a novel co-ordinated hybrid maximum power point tracking (MPPT)-pitch angle based on a radial basis function network (RBFN) is proposed for a variable speed variable pitch wind turbine. The proposed controller is used to maximise output power when the wind speed is low and optimise the power when the wind speed is high. The proposed controller provides robustness to the nonlinear characteristic of wind speed. It uses wind speed, generator speed, and generator power as input variables and utilises the duty cycle and the reference pitch angle as the output control variables. The duty cycle is used to control the converter so as to maximise the power output and the reference pitch angle is used to control the generator speed in order to control the generator output power in the above rated wind speed region. The effectiveness of the proposed controller was verified using MATLAB/Simulink software.

https://www.mdpi.com/1996-1073/10/10/1493/pdf

Coordinated Control Strategies for a Permanent Magnet Synchronous Generator Based Wind Energy Conversion System

Performance evaluation of fuel cell fed electric vehicle system with reconfigured quadratic boost converter

A family of high gain fuel cell front-end converters with low input current ripple for PEMFC power conditioning systems

This paper proposes an advanced pitch angle control strategy based on neural network (NN) for variable speed wind turbine. The proposed methodology uses Radial Basis Function Network (RBFN) and Feedforward based Back propagation network (BPN) algorithm to generate pitch angle. The performance of the proposed control technique is analyzed by comparing the results with Fuzzy Logic Control (FLC) and Proportional Integral (PI) control techniques. The control techniques implemented is able to compensate the nonlinear characteristic of wind speed. The wind turbine is smoothly controlled to maintain the generator power and the mechanical torque to the rated value without any fluctuation during rapid variation in wind speed. The effectiveness of the proposed control strategy is verified using MATLAB/Simulink for 2-MW permanent magnet synchronous generator (PMSG) based wind energy conversion system.

/pdf/comparative-analysis-of-pitch-angle-controller-strategies-4duu7mrg4v.pdf

Comparative Analysis of Pitch Angle Controller Strategies for PMSG Based Wind Energy Conversion System

/pdf/modified-fuzzy-logic-based-control-strategy-for-grid-4ah2t1j35z.pdf

Modified Fuzzy Logic Based Control Strategy for Grid Connected Wind Energy Conversion System

In this article a high step up DC-DC Converter which is integrated with renewable energy resources is proposed. The disadvantage of conventional converters is that it has high duty ratio and high voltage stress across power devices with less efficiency. The proposed methodology uses flyback converter to obtain high static voltage gain to improve the efficiency of the converter by reducing the voltage stress across the switch and diodes. Thus by avoiding the operation of the high duty ratio and recycling of coupled inductor stored energy, the overall efficiency of the converter gets improved.

Ramesh Babu N

Papers

Comparative Analysis of Pitch Angle Controller Strategies for PMSG Based Wind Energy Conversion System

Modified Fuzzy Logic Based Control Strategy for Grid Connected Wind Energy Conversion System

Design and development of a high step-up DC-DC Converter for non-conventional energy applications