A neural adaptative step size method for maximum power point tracking in low power wind turbine systems

Extracting maximum energy from photovoltaic (PV) systems at varying conditions is crucial. It represents a problem that is being addressed by researchers who are using several techniques to obtain optimal outcomes in real-life scenarios. Among the many techniques, Maximum Power Point Tracking (MPPT) is one category that is not extensively researched upon. MPPT uses mathematical models to achieve gradient optimisation in the context of PV panels. This study proposes an enhanced maximisation problem based on gradient optimisation techniques to achieve better performance. In the context of MPPT in photovoltaic panels, an equality restriction applies, which is solved by employing the Dual Lagrangian expression. Considering this dual problem and its mathematical form, the Nesterov Accelerated Gradient (NAG) framework is used. Additionally, since it is challenging to ascertain the step size, its approximate value is taken using the Adadelta approach. A basic MPPT framework, along with a DC-to-DC convertor, was simulated to validate the results.

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A Log-Based Step-Size Adaptation Technique for Fast and Robust Maximum Power Point Tracking Method for Solar PV Grid Tied System

2019 IEEE 9th Annual Computing and Communication Workshop and Conference (CCWC) ◽

10.1109/ccwc.2019.8666492 ◽

2019 ◽

Author(s):

Haider Abdallatif Mohamed K ◽

Ikhlas Abdel-Qader

Keyword(s):

Maximum Power Point Tracking ◽

Maximum Power ◽

Solar Pv ◽

Step Size ◽

Maximum Power Point ◽

Tracking Method ◽

Point Tracking ◽

Power Point Tracking ◽

Power Point ◽

Pv Grid

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Magnus Wind Turbine Emulator With MPPT by Cylinder Rotation Control

Journal of Dynamic Systems Measurement and Control ◽

10.1115/1.4040212 ◽

2018 ◽

Vol 140 (10) ◽

Cited By ~ 2

Author(s):

Leonardo Candido Corrêa ◽

João Manoel Lenz ◽

Cláudia Garrastazu Ribeiro ◽

Felix Alberto Farret

Keyword(s):

Wind Turbine ◽

Output Power ◽

Maximum Power Point Tracking ◽

Maximum Power ◽

Control Technique ◽

Maximum Power Point ◽

Point Tracking ◽

Power Point Tracking ◽

Power Point ◽

Turbine Model

An emulator for the nonconventional Magnus wind turbine was designed and developed in this study. A brief discussion is made of this special case of horizontal axis wind generator and of the main physics principles involving the Magnus phenomenon. A mathematical model was used to emulate the static behavior of the Magnus wind turbine and a detailed analysis is presented about its peculiar rotating cylinder characteristics. Based on the relationship between cylinder blade rotation and power coefficient, a hill climb search algorithm was developed to perform maximum power point tracking. The impact of the cylinder's rotation speed on the turbine net output power was evaluated. A controlled direct current motor was used to provide torque, based on the Magnus turbine model, and drive a permanent magnet synchronous generator (PMSG); the latter was controlled by a buck converter in order to extract the maximum generated power (MGP). Simulations of the Magnus wind turbine model and its maximum power point tracking (MPPT) control are also presented. A prototype of the proposed emulator was developed and operated by a user-friendly LabVIEW interface. Measurements of the power delivered to the load were acquired for different wind speeds; these results were analyzed and compared with simulated values showing a good behavior of the emulator with respect to the turbine model. The proposed control technique for maximizing the output power was validated by emulated results. The modeling and development of the Magnus turbine emulator also serve to encourage further studies on generation and control with this wind machine.

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