Improved hardware implementation of a TSR based MPPT algorithm for a low cost connected wind turbine emulator under unbalanced wind speeds

Zouheyr, Dekali; Baghli, Lotfi; Boumédiène, Abdelmadjid

doi:10.1016/j.energy.2021.121039

Cited by 35 publications

(16 citation statements)

References 52 publications

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“…Figure 3 shows the overall structure of the emulator of the wind energy conversion system [24], [25]. The DC motor is directly coupled to the Double Fed Induction Generator (DFIG) and is powered by a chopper.…”

Section: Wind Turbine Emulator Based On a Double Fed Induction Generatormentioning

confidence: 99%

Impact of renewable energy micro-power plants on power grids over Africa

Terfa

Baghli

Bhandari

2022

Energy

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Section: Wind Turbine Emulator Based On a Double Fed Induction Generatormentioning

confidence: 99%

Impact of renewable energy micro-power plants on power grids over Africa

Terfa

Baghli

Bhandari

2022

Energy

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“…A wind turbine emulator is essential equipment for evaluating novel wind energy conversion system designs. Without relying on natural wind resources or actual wind turbines, this emulator simulates steady-state and dynamic features in a controlled environment [6], [7]. There are several methods for emulating a wind turbine in a laboratory, however, the most common method is to use an electric motor coupled directly to the wind generator's shaft.…”

Section: Introductionmentioning

confidence: 99%

Intelligent IoT Wind Emulation System Based on Real-Time Data Fetching Approach

et al. 2022

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The fundamental challenge for the development of the wind energy conversion system is the natural instability of this resource, which is now at the forefront of the debate. The Internet of Things (IoT) has emerged as a smart and practical approach to renewable energy system management. In addition, the Internet of Things is an important study area with several possibilities for advancement and demanding work. To improve the dependability of wind energy conversion systems, researchers may simulate all potential wind turbine operating scenarios and design power electronics topologies and control algorithms appropriately. The proposed wind emulation platform is wind-turbine-oriented, with significantly increased traceability and efficiency when compared to existing systems. The wind emulation system is driven with real-time wind velocity data. The real-time and forecasted wind data is fetched from global nodes using an IoT cloud application programming interface. The wind emulation system is modelled in the VEE Pro platform and integrated with IoT cloud API and FPGA controller. Data obtained from IoT is converted into actionable information to analyse and investigate wind turbine performance. Also, effective security measures have been taken for ESP8266 communication with the Host Computer. Adapting the proposed IoT algorithm with an associated hardware prototype, the condition of the wind energy conversion system and the power generation capability shall be analyzed in a real-time environment.

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“…However, the hardware implementation is difficult, especially the implementation of backstepping controller. However, when starting a hardware implementation of the MPPT algorithm on a digital device such as a microcontroller, FPGA, DSP, etc., sometimes there is discrepancies that may occur between the software and the requirements during the development process [35], [36]. Therefore, when an error occurs, it is difficult to know exactly which component is causing the error.…”

Section: Introductionmentioning

confidence: 99%

Design and PIL Test of High Performance MPPT Controller Based on P&O-Backstepping Applied to DC-DC Converter

Diouri¹,

Gaga

Senhaji³

et al. 2022

Journal of Robotics and Control

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This paper presents the design, test and validation process of the maximum power point tracking (MPPT) based on the Perturb and Observe backstepping controller. The design of this robust controller follows a sequence of two tests of the validated model-based design (MBD) approach. Our contribution is to give a roadmap for designing, testing and validating embedded software for MPPT algorithms. Perturb and observe algorithm is used to generate the reference voltage which is used by the backstepping controller to generate the maximum power. Then, after simulation of all these techniques, generated optimized C code for the STM32F4 microcontroller is necessary to test the controller on embedded platform. Therefore, the algorithm of MPPT is simulated by Model in the Loop (MIL) and Processor in the Loop (PIL) techniques. The results show that the proposed system has full control over reference power, for different atmospheric changes, by backstepping and integrating into a 32-bit ARM microcontroller. In all of the various tests, the embedded software developed demonstrates high compliance and high performance with MPPT requirements.

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Improved hardware implementation of a TSR based MPPT algorithm for a low cost connected wind turbine emulator under unbalanced wind speeds

Cited by 35 publications

References 52 publications

Impact of renewable energy micro-power plants on power grids over Africa

Impact of renewable energy micro-power plants on power grids over Africa

Intelligent IoT Wind Emulation System Based on Real-Time Data Fetching Approach

Design and PIL Test of High Performance MPPT Controller Based on P&O-Backstepping Applied to DC-DC Converter

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