scholarly journals Implementation of Maximum Power Point Tracking Based on Variable Speed Forecasting for Wind Energy Systems

Processes ◽  
2019 ◽  
Vol 7 (3) ◽  
pp. 158 ◽  
Author(s):  
Yujia Zhang ◽  
Lei Zhang ◽  
Yongwen Liu
Keyword(s):  
Wind Speed ◽  
Wind Energy ◽  
Wind Turbine ◽  
Wind Velocity ◽  
Bat Algorithm ◽  
Energy System ◽  
Maximum Power ◽  
State Feedback Control ◽  
Control Technique ◽  
Point Tracking

In order to precisely control the wind power generation systems under nonlinear variable wind velocity, this paper proposes a novel maximum power tracking (MPPT) strategy for wind turbine systems based on a hybrid wind velocity forecasting algorithm. The proposed algorithm adapts the bat algorithm and improved extreme learning machine (BA-ELM) for forecasting wind speed to alleviate the slow response of anemometers and sensors, considering that the change of wind speed requires a very short response time. In the controlling strategy, to optimize the output power, a state feedback control technique is proposed to achieve the rotor flux and rotor speed tracking purpose based on MPPT algorithm. This method could decouple the current and voltage of induction generator to track the reference of stator current and flux linkage. By adjusting the wind turbine mechanical speed, the wind energy system could operate at the optimal rotational speed and achieve the maximal power. Simulation results verified the effectiveness of the proposed technique.

Performance assessment of a balloon assisted micro airborne wind turbine system

2021 ◽  
Vol 0 (0) ◽  
Author(s):  
Naveen Prakash Noronha ◽  
Krishna Munishamaih
Keyword(s):  
Wind Speed ◽  
Wind Energy ◽  
Wind Turbine ◽  
Power Output ◽  
Cost Effective ◽  
Energy System ◽  
Maximum Power ◽  
Power Coefficient ◽  
Average Wind Speed ◽  
Low Wind Speed

Abstract This study intends to examine the performance of a balloon-assisted micro airborne wind turbine in a low wind speed location. The influence of the balloon separation gap on the airborne wind energy system (AWES) performance is also explored. A micro-AWES with a diameter of 3 m and a power output of 1 kW was fabricated and tested at 50, 100, 150, 200, and 250 m. Further, the optimum separation spacing of 13 m was maintained between the balloon and the ducted turbine to reduce balloon turbulence on the turbine. The airborne wind turbine achieved a maximum power output of 250 W at 250 m height while the average wind speed remained 6 m/s. The maximum power coefficient obtained was 0.25 while annual energy production (AEP) remained 1200 kWh. The low power coefficient is credited to the turbulence and drifting in the airborne system and the drag caused by the airborne structure. While a cost-effective commercial model of micro AWES is still being developed, the present work attempts to harvest wind energy at high elevations in low wind speed areas.

Experimental Study of Vertical Axis Wind Turbine with Wind Speed Self-Adapting

2012 ◽  
Vol 215-216 ◽  
pp. 1323-1326
Author(s):  
Ming Wei Xu ◽  
Jian Jun Qu ◽  
Han Zhang
Keyword(s):  
Wind Speed ◽  
Wind Turbine ◽  
Wind Velocity ◽  
Vertical Axis ◽  
Maximum Power ◽  
The Self ◽  
Power Coefficient ◽  
Speed Ratio ◽  
Vertical Axis Wind Turbine ◽  
Opening And Closing

A small vertical axis wind turbine with wind speed self-adapting was designed. The diameter and height of the turbine were both 0.7m. It featured that the blades were composed of movable and fixed blades, and the opening and closing of the movable blades realized the wind speed self-adapting. Aerodynamic performance of this new kind turbine was tested in a simple wind tunnel. Then the self-starting and power coefficient of the turbine were studied. The turbine with load could reliably self-start and operate stably even when the wind velocity was only 3.6 m/s. When the wind velocity was 8 m/s and the load torque was 0.1Nm, the movable blades no longer opened and the wind turbine realized the conversion from drag mode to lift mode. With the increase of wind speed, the maximum power coefficient of the turbine also improves gradually. Under 8 m/s wind speed, the maximum power coefficient of the turbine reaches to 12.26%. The experimental results showed that the new turbine not only improved the self-starting ability of the lift-style turbine, but also had a higher power coefficient in low tip speed ratio.

scholarly journals Active and Reactive Powers Control of DFIG Based WECS Using PI Controller and Artificial Neural Network Based Controller

2020 ◽  
Vol 93 (1-4) ◽  
pp. 31-38
Author(s):  
Bilal Boudjellal ◽  
Tarak Benslimane
Keyword(s):  
Neural Network ◽  
Artificial Neural Network ◽  
Wind Energy ◽  
Control Strategy ◽  
Energy System ◽  
Maximum Power ◽  
Point Tracking ◽  
Pi Controllers ◽  
Artificial Neural ◽  
Artificial Neural Network Ann

The purpose of this study is to improve the control performance of a Doubly Fed Induction Generator (DFIG) in a Wind Energy Conversion System (WECS) by using both of the conventional Proportional-Integral (PI) controllers and an Artificial Neural Network (ANN) based controllers. The rotor-side converter (RSC) voltages are controlled using a stator flux oriented control (FOC) to achieve an independent control of the active and reactive powers, exchanged between the stator of the DFIG and the power grid. Afterward, the PI controllers of the FOC are replaced with two ANN based controllers. A Maximum Power Point Tracking (MPPT) control strategy is necessary in order to extract the maximum power from the of wind energy system. A simulation model was carried out in MATLAB environment under different scenarios. The obtained results demonstrate the efficiency of the proposed ANN control strategy.

scholarly journals A Controller for Optimum Electrical Power Extraction from a Small Grid-Interconnected Wind Turbine

Energies ◽  
2020 ◽  
Vol 13 (21) ◽  
pp. 5809
Author(s):  
Tania García-Sánchez ◽  
Arbinda Kumar Mishra ◽  
Elías Hurtado-Pérez ◽  
Rubén Puché-Panadero ◽  
Ana Fernández-Guillamón
Keyword(s):  
Wind Speed ◽  
Wind Energy ◽  
Energy Conversion ◽  
Wind Turbine ◽  
Wind Power ◽  
Maximum Power ◽  
Wind Energy Conversion System ◽  
Wind Energy Conversion ◽  
Conversion System ◽  
Energy Conversion System

Currently, wind power is the fastest-growing means of electricity generation in the world. To obtain the maximum efficiency from the wind energy conversion system, it is important that the control strategy design is carried out in the best possible way. In fact, besides regulating the frequency and output voltage of the electrical signal, these strategies should also extract energy from wind power at the maximum level of efficiency. With advances in micro-controllers and electronic components, the design and implementation of efficient controllers are steadily improving. This paper presents a maximum power point tracking controller scheme for a small wind energy conversion system with a variable speed permanent magnet synchronous generator. With the controller, the system extracts optimum possible power from the wind speed reaching the wind turbine and feeds it to the grid at constant voltage and frequency based on the AC–DC–AC conversion system. A MATLAB/SimPowerSystems environment was used to carry out the simulations of the system. Simulation results were analyzed under variable wind speed and load conditions, exhibiting the performance of the proposed controller. It was observed that the controllers can extract maximum power and regulate the voltage and frequency under such variable conditions. Extensive results are included in the paper.

Magnus Wind Turbine Emulator With MPPT by Cylinder Rotation Control

2018 ◽  
Vol 140 (10) ◽  
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.

scholarly journals Synergetic Control Based Fast-Converging MPPT Technique for Thermoelectric Generator Energy System

2021 ◽  
Vol 9 (2) ◽  
pp. 230-237
Author(s):  
Polamraju. V. S. Sobhan, Et. al.
Keyword(s):  
Thermoelectric Generator ◽  
Waste Heat ◽  
Variable Temperature ◽  
Energy System ◽  
Power Converter ◽  
Maximum Power ◽  
Control Technique ◽  
Generator System ◽  
Point Tracking ◽  
Synergetic Control

 Recently, waste heat energy recovery has attracted the attention of many researchers. The power conversion efficiency of Thermoelectric Generator (TEG) system is enhanced by designing suitable MPPT controller.  In this study a robust nonlinear control technique based on synergetic control theory is designed to extract maximum power from Thermoelectric Generator system (TEG). The designed synergetic control law ensures the fast convergence towards maximum power operating point without any oscillations under the presence of system uncertainties and variable temperature conditions. The TEG system comprises of a Thermoelectric Generator module, power converter, maximum power point tracking algorithm and load. The simulation results show viability of proposed strategy in comparison with Perturb and Observe (P&O) method under variable temperature.

scholarly journals The Impact of the Wind Speed on the Dynamics of the Wind Energy System

2016 ◽  
Vol 22 (3) ◽  
pp. 628-633
Author(s):  
Florenţiu Deliu ◽  
Petrică Popov ◽  
Paul Burlacu
Keyword(s):  
Diesel Engine ◽  
Wind Speed ◽  
Wind Energy ◽  
Wind Turbine ◽  
Electric Power ◽  
Synchronous Generator ◽  
Energy System ◽  
Maximum Efficiency ◽  
Wind Energy System ◽  
The Impact

Abstract The paper analyzes the operation of electric power subsystem consisting of the naval marine wind turbine, the synchronous generator and the electric accumulators at linear and exponential variations of wind speed. The management system is analyzed using various functions of wind speed variation. This subsystem requires to capture the wind energy with maximum efficiency, so a diesel engine and a synchronous generator subsystem can be used only as a complementary source of energy.

Optimum Wind Turbine Site Matching for Three Locations in Saudi Arabia

2011 ◽  
Vol 347-353 ◽  
pp. 2130-2139
Author(s):  
Abdullrahman A. Al Shamma’a ◽  
Khaled E. Addoweesh ◽  
Ali Eltamaly
Keyword(s):  
Wind Speed ◽  
Wind Energy ◽  
Wind Turbine ◽  
Electric Energy ◽  
Energy System ◽  
Economic Benefits ◽  
Optimal Choice ◽  
Power Curve ◽  
Matching Problem ◽  
Wind Energy System

Wind energy has been most prevalently utilized to generate electric power due to non pollution to the environment and the conservation of fossil fuel resources. The energy generated from wind turbine depends on the wind site characteristics and the wind turbine parameters. So, the choice of certain wind turbine for specific site is very important in terms of price of electric energy generated from wind energy system. Therefore, optimal choice of wind turbine is one of the most crucial issues in the design of wind energy system, which can utilize wind energy as efficiently as possible and achieve the best economic benefits. So this paper introduces a new and simple mathematic formulation for the wind turbine-site matching problem, based on wind speed characteristics of any site and the power curve parameters of any wind turbine. Wind speed at any site is characterized by the scale parameter (c) and the shape parameter (k) of the Weibull distribution function. The power curve parameters of any wind turbine are characterized by the cut-in, rated, and furling speeds and the rated power. The new formulation method is derived based on a generic formulation for the product of the Capacity Factor (CF) and Normalized Power (PN). Three case studies are also presented to demonstrate the effectiveness of the proposed method to choose between a group of wind sites and a list of commercial wind turbines.

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