Maximum Power Point Tracking for Wind Turbine Using Integrated Generator–Rectifier Systems

Huynh, Phuc; Tungare, Samira; Banerjee, Arijit

doi:10.1109/tpel.2020.3002254

Cited by 52 publications

(11 citation statements)

References 27 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…For WT systems, the electromagnetic torque is controlled by regulating the generator-side current that flows in the generator rotor or stator. By doing so, the power extracted from the WT can be optimized; this is a type of control known as maximum power point tracking (MPPT), which can be achieved by regulating the blade rotational velocity and pitch angle as well [37], [38]. In other words, it is to achieve an energy balance between the mechanical and electrical power conversion in the WT.…”

Section: Fig 4 General Configuration Of (A) Wind Power Generation Systemmentioning

confidence: 99%

Power Electronics Technology for Large-Scale Renewable Energy Generation

et al. 2023

View full text Add to dashboard Cite

Power electronics is the enabling technology for the grid integration of large-scale renewable energy generation, which provides high controllability and flexibility to energy generation, conversion, transmission, and utilization. However, power electronics also brings several challenges to conventional power grids, e.g., reducing the system inertia. Advanced control strategies have been developed to enhance the energy conversion process. In this article, the grid-integration structure and control for renewable energy are discussed with a focus on large-scale wind, solar photovoltaic, and energy storage systems. Future research and development trends for these technologies are also presented.

show abstract

Section: Fig 4 General Configuration Of (A) Wind Power Generation Systemmentioning

confidence: 99%

Power Electronics Technology for Large-Scale Renewable Energy Generation

et al. 2023

View full text Add to dashboard Cite

show abstract

“…In wind power systems, the principle of MPPT is to maximize the power output by optimizing the speed of the PMSG concerning the wind velocity. Numerous researchers have been done to get better performance MPPT for wind systems [26], [27]. A simple and new MPPT algorithm has been introduced.…”

Section: Mppt Controllermentioning

confidence: 99%

Wind energy management of a standalone system operating at maximum power point

Albalawi

Zaid

Buswig

et al. 2022

IJPEDS

View full text Add to dashboard Cite

In this paper, the management and control of a standalone wind energy system versus variations of wind speed and load are investigated. The system includes a wind turbine coupled to a variable-speed permanent magnet synchronous generator (PMSG), rectifier, boost converter, power inverter, and an energy storage system (ESS). The ESS is a very important part to achieve system stability and support the maximum power point tracking (MPPT) operation. A simple off-line MPPT algorithm is introduced that can be accomplished using the boost converter. The system dynamic model is derived then the control and energy management algorithms are introduced to improve the system performance. The MATLAB platform has been utilized to simulate the proposed system under different disturbances in the load power and wind speed. The results show perfect management of the system energy, good performance of the DC link voltage, stable load voltage, and load frequency.

show abstract

“…The main idea of applying the maximum power point tracking (MPPT) algorithmes to wind turbines is maintaining the speed rotor angle at the optimum operating point at every wind speed [11][12][13]. This can be done by changing the rotation speed of the system as a function of the wind speed to vary the operating point on the power coefficient curve [14,15].…”

Section: Figure 1 Configuration Of a Wecs Based On Pmsgmentioning

confidence: 99%

Multiple Linear Regression Approach for Sensorless MPPT of PMSG Wind Power Generation Systems

Abo‐Khalil

Sobhy

Sayed

2022

Preprint

View full text Add to dashboard Cite

In this paper, a novel approach for extracting the maximum power from a wind energy conversion system (WECS) eqquiped with a permanent magnet synchronous generator (PMSG) is presented. Wind power generation systems have gained prominence as an alternative to conventional power plants worldwide, being the renewable energy source with the best growth prospects. However, the intermittent nature of wind power reduces energy reliability and hinders the development of technologies in this area. Therefore, a sensorless controller for a WECS with a PMSG is developed to enhance the conversion efficiency of the wind enegy system. The proposed control algorithm predicts the wind speed from the wind turbine power-speed characteristics. It uses the predicted speed to determine the optimum reference rotating speed to extract the maximum power point (MPPT) based on the optimum tip-speed ratio. The proposed control approach is based on a multiple linear regression (MLR) algorithms which is used to predict the wind speed value by calculating the regression coefficients from the predetermined training samples of the turbine power, rotating speed, and wind speed. The MPPT operating mode is maintained as long as the available power is less than the rated power of the converter. Otherwise, the MPPT algorithm is disabled, and a mechanical power control loop guarantees nominal power. A complete theoretical analysis and the experimental results considering the prototype with the nominal power of the 3 kW wind turbine used are presented. The experimental results has proven the effectiveness and robustness of the proposed control approach.

show abstract

Maximum Power Point Tracking for Wind Turbine Using Integrated Generator–Rectifier Systems

Cited by 52 publications

References 27 publications

Power Electronics Technology for Large-Scale Renewable Energy Generation

Power Electronics Technology for Large-Scale Renewable Energy Generation

Wind energy management of a standalone system operating at maximum power point

Multiple Linear Regression Approach for Sensorless MPPT of PMSG Wind Power Generation Systems

Contact Info

Product

Resources

About