A New Hill Climbing Maximum Power Tracking Control for Wind Turbines With Inertial Effect Compensation

Karabacak, Murat; Fernández‐Ramírez, Luis M.; Kamal, Tariq

doi:10.1109/tie.2019.2907510

Cited by 36 publications

(15 citation statements)

References 44 publications

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“…In most cases, the greater number of outputs is, the more converters that the grid emulators can test; the greater number of inputs is, the more complex spatial configurations that the grid emulators can reflect. In this case, the spatial configurations of commonly seen ac grid for emulation can be categorized into single-inputsingle-output (SISO) type [54]- [58], multi-input-single-output (MISO) type [59]- [66], and multi-input-multi-output (MIMO) type [71]- [83].…”

Section: A Spatial Configurationmentioning

confidence: 99%

AC Grid Emulations for Advanced Testing of Grid-Connected Converters—An Overview

Wang

Cai

et al. 2021

IEEE Trans. Power Electron.

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High penetration of distributed generations and active loads have enabled the power electronics converter to become a vital component in the modern power grid system, and the broad employment of grid-connected converters at various power levels is making the grid impedance and characteristics complicated. Consequently, in order to validate more advanced features such as the reliability and stability performances of the grid-connected converters, it is becoming an emerging need to emulate the grid behaviors from more aspects. This article serves to foster and investigate the state-of-the-art techniques in the field of ac grid emulation from the perspective of multiple spatial-scales and multiple time-scales. Four major concepts used for grid emulation with featured principles, including concept I (analog simulation with under-scaled components), concept II (grid characteristics in the real-time simulator), concept III (grid characteristics in the converters structure), and concept IV (grid characteristics in the converters controller), are summarized, respectively, in this article. The practical implementation regarding to the circuit topology and the power supply for the grid emulation system are also discussed. Finally, the future trends and conclusions in the field of ac grid emulation are provided.

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Section: A Spatial Configurationmentioning

confidence: 99%

AC Grid Emulations for Advanced Testing of Grid-Connected Converters—An Overview

Wang

Cai

et al. 2021

IEEE Trans. Power Electron.

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“…Figure 10.b presents the dynamic model of the implanted wind turbine emulator, the equivalent mechanical equation is given as follows [14]: The tip speed ratio based MPPT algorithm consists into keeping the speed ratio at its optimum value, that corresponds to the maximum value of Cp for any wind velocity, hence, extracting the most available power on the shaft (Figure 11) [28,29].…”

Section: Wte Dynamic Modelmentioning

confidence: 99%

Real-Time Emulation of a Grid-Connected Wind Energy Conversion System Based Double Fed Induction Generator Configuration under Random Operating Modes

Zouheyr¹,

Baghli²,

Boumédiène³

2021

EJEE

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This paper presents the design, modeling, simulation and the experimental implementation of a 1.5 kW relatively low-cost wind energy conversion system (WECS) based on the double fed induction generator (DFIG) configuration. In the preliminary experiments, we test the DFIG power control under fixe speed by applying the vector control principle, then we insert the physical emulator presented in the controlled DC motor in order to simulate the static-dynamic behaviors of a real wind turbine with the use of the Tip Speed Ratio TSR based MPPT algorithm to extract the maximum available power on the emulator. The proposed structure is simulated using MATLAB Simulink environment, the obtained results are validated experimentally on our laboratory setup. We also develop an application with MATLAB AppDesigner that calculates the operating point of our system at steady state and visualize the power transfer, current, voltage and electromagnetic torque values of the DFIG and the DC motor before starting the stimulation or the experimental manipulation. The MPPT, the DC motor control and the DFIG power control algorithms are implanted in C, embedded on a dSPACE DS1104 control board. The obtained results confirm the reliability of the proposed WECS to manage all the probable operating modes, also the effectiveness of the physical simulator in the role of wind turbine emulation.

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“…The wind energy conversion system (WECS) requires a regulator capable of ensuring its activity mode around the optimal operating point in order to maximize the amount of energy delivered from a wind turbine as indicated by wind speed vacillations. Three forms of maximum power point tracking (MPPT) have been extensively studied in the literature: tip speed ratio, power signal feedback control, and hill-climbing search [6]- [8]. However, it necessitates wind speed, which increases the expense and complexity of implementation.…”

Section: Introductionmentioning

confidence: 99%

Improved GA based power and cost management system in a grid-associated PV-wind system

Jayapal

2021

IJPEDS

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Renewable hybrids play an essential part in assisting India with quickening the decarbonisation of power production and lowering power production expense in the medium term. PV and wind energy are complementary to each other, making the system to generate electricity almost throughout the year. In this paper, a grid-associated PV-wind energy system tied with a battery is analysed. PV, wind, grid and battery are the sources to be effectively scheduled for uninterrupted power and cost minimisation. Energy management controllers use optimisation strategies for effective utilisation of sources and cost minimisation. The methodologies are detailed as optimisation problems. Limiting the household energy cost is considered as objective, and the delivery ratio of power offered to the grid and utilised locally is treated as the optimisation variable. In this paper, an improved genetic algorithm is proposed to solve the formulated nonlinear optimisation problems. The time-of-use tariff is becoming popular in India; therefore, this article analyses the improved genetic algorithm based intelligent power and cost management system under time-of-use tariff. Using MATLAB, the proposed approach's performance is presented with the comparative analysis of conventional self-made for self-consumed and rest for sale mode and genetic algorithm-based energy management controller.

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A New Hill Climbing Maximum Power Tracking Control for Wind Turbines With Inertial Effect Compensation

Cited by 36 publications

References 44 publications

AC Grid Emulations for Advanced Testing of Grid-Connected Converters—An Overview

AC Grid Emulations for Advanced Testing of Grid-Connected Converters—An Overview

Real-Time Emulation of a Grid-Connected Wind Energy Conversion System Based Double Fed Induction Generator Configuration under Random Operating Modes

Improved GA based power and cost management system in a grid-associated PV-wind system

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