An Enhanced Control Scheme for an IPM Synchronous Generator Based Wind Turbine With MTPA Trajectory and Maximum Power Extraction

2018 ◽  
Vol 33 (2) ◽  
pp. 556-566 ◽  
Author(s):  
Mujaddid Morshed Chowdhury ◽  
Md Enamul Haque ◽  
Sajeeb Saha ◽  
Md Apel Mahmud ◽  
Ameen Gargoom ◽  
...  
Keyword(s):  
Wind Turbine ◽  
Synchronous Generator ◽  
Maximum Power ◽  
Power Extraction ◽  
Control Scheme

scholarly journals Maximum Power Extraction from Active Pitch Controlled Standalone Variable Speed Wind Turbine

2019 ◽  
Vol 9 (2) ◽  
pp. 3226-3229
Keyword(s):  
Wind Turbine ◽  
Wind Velocity ◽  
Synchronous Generator ◽  
Maximum Energy ◽  
Maximum Power ◽  
Resistive Load ◽  
Variable Speed ◽  
Permanent Magnet Synchronous Generator ◽  
Power Extraction ◽  
Variable Speed Wind Turbine

This paper focuses on modelling of a standalone variable speed wind turbine using MATLAB and increasing its performance by extracting the maximum power below rated wind velocity using MPPT algorithm and maintaining constant power using active pitch angle control for above rated wind velocity. The wind turbine is coupled to a Permanent Magnet Synchronous Generator (PMSG) which can operate on variable speed. A variable resistive load will extract the maximum energy possible and utilise it for heating applications.

scholarly journals EXPERIMENTAL COMPARATIVE STUDY BETWEEN MPPT, HYBRID P&O AND FUZZY CONTROL FOR A SMALL WIND TURBINE APPLICATION

2021 ◽  
Vol 10 (1) ◽  
pp. [12 P.]-[12 P.]
Author(s):  
IGNACIO MUGURUZA VELILLA ◽  
ENEKO MOLA SANZ ◽  
MARLON GALLO TORRES ◽  
AITZOL UGARTEMENDIA ITURRIZAR ◽  
GONZALO ABAD BIAIN ◽  
...  
Keyword(s):  
Fuzzy Control ◽  
Wind Turbine ◽  
Fuzzy Controller ◽  
Synchronous Generator ◽  
Vertical Axis ◽  
Maximum Power ◽  
Vertical Axis Wind Turbine ◽  
Power Extraction ◽  
Small Wind Turbine ◽  
Wind Profiles

ABSTRACT This study focuses on a comparison between different maximum power extraction controls for a small wind turbine application. In this case, a vertical axis wind turbine (VAWT) coupled to a permanent magnet synchronous generator (PMSG) is used. The analysis is performed for variable winds, so that a real small wind turbine application is simulated. An experimental platform and a wind tunnel are used to recreate the different wind profiles. Diverse controls are compared, a "classical" MPPT, a hybrid Perturb & Observe control and a fuzzy control. Artificial intelligence allows the creation of control algorithms that are not bound by the mechanical parameters of the wind turbine, thus avoiding the need to characterize the wind turbine and define the maximum power curve. It is determined that, for almost constant wind profiles, the hybrid Perturb & Observe extracts more energy. However, for the same profile with greater variability, the fuzzy controller extracts more energy.

scholarly journals MPPT control design for variable speed wind turbine

2020 ◽  
Vol 10 (5) ◽  
pp. 4604
Author(s):  
Meriem Otmane Rachedi ◽  
Mohammed Larbi Saidi ◽  
Fayçel Arbaoui
Keyword(s):  
Wind Turbine ◽  
Permanent Magnet ◽  
Fractional Order ◽  
Synchronous Generator ◽  
Maximum Power ◽  
Variable Speed ◽  
Permanent Magnet Synchronous Generator ◽  
Power Extraction ◽  
Proportional Integral ◽  
Variable Speed Wind Turbine

Variable speed wind turbine systems (VSWT’s) have been in receipt of extensive attention among the various renewable energy systems. The present paper focuses on fuzzy fractional order proportional-integral (FFOPI) control segment for variable speed wind turbine (VSWT) directly driving permanent magnet synchronous generator (PMSG). The main objective of this study is to reach maximum power point tracking (MPPT) through combination of advanced control based on FFOPI control applied to generator side converter (turbine and PMSG). The basic idea of the FFOPI controller is to implement a fuzzy logic controller (FLC) in cascade with Fractional Order Proportional Integral controller (FOPI). A comparative study with FOPI and classical PI control schemes is made. The traditional PI controller cannot deliver a sufficiently great performance for the VSWT. However, the results found that the proposed approach (FFOPI) is more effective and feasible for controlling the permanent magnet synchronous generator to mantain maximum power extraction. The validation of results has been performed through simulation using Matlab/Simulink®.

Enhancement of low-voltage ride-through capability of permanent magnet synchronous generator wind turbine by applying state-estimation technique

2020 ◽  
Vol 39 (2) ◽  
pp. 363-377
Author(s):  
Sayyed Ali Akbar Shahriari ◽  
Mohammad Mohammadi ◽  
Mahdi Raoofat
Keyword(s):  
Wind Turbine ◽  
State Estimation ◽  
Low Voltage ◽  
Synchronous Generator ◽  
Estimation Algorithm ◽  
Voltage Measurement ◽  
Content Type ◽  
Low Voltage Ride Through ◽  
Speed Sensor ◽  
Control Scheme

Purpose The purpose of this study is to propose a control scheme based on state estimation algorithm to improve zero or low-voltage ride-through capability of permanent magnet synchronous generator (PMSG) wind turbine. Design/methodology/approach Based on the updated grid codes, during and after faults, it is necessary to ensure wind energy generation in the network. PMSG is a type of wind energy technology that is growing rapidly in the network. The control scheme based on extended Kalman filter (EKF) is proposed to improve the low voltage ride-through (LVRT) capability of the PMSG. In the control scheme, because the state estimation algorithm is applied, the requirement of DC link voltage measurement device and generator speed sensor is removed. Furthermore, by applying this technique, the extent of possible noise on measurement tools is reduced. Findings In the proposed control scheme, zero or low-voltage ride-through capability of PMSG is enhanced. Furthermore, the requirement of DC link voltage measurement device and generator speed sensor is removed and the amount of possible noise on the measurement tools is minimized. To evaluate the ability of the proposed method, four different cases, including short and long duration short circuit fault close to PMSG in the presence and absence of measurement noise are studied. The results confirm the superiority of the proposed method. Originality/value This study introduces EKF to enhance LVRT capability of a PMSG wind turbine.

Comparative Study of Two Different Converters with its Controller for Grid Connected WECS with PMSG

2019 ◽  
Vol 8 (2) ◽  
pp. 1-24
Author(s):  
Sasmita Behera ◽  
Matruprasad Jyotiranjan
Keyword(s):  
Power Quality ◽  
Pulse Width Modulation ◽  
Harmonic Distortion ◽  
Synchronous Generator ◽  
Electrical Energy ◽  
Maximum Power ◽  
Multilevel Inverter ◽  
Resistive Load ◽  
Power Extraction ◽  
Point Tracking

Wind is a source for generating clean and economical electrical energy with a proper harnessing mechanism. For a wind energy conversion system (WECS), maximum power extraction with optimum power quality is required. In this article, the grid power quality is enhanced, using a multilevel inverter which provides smoother and pure sinusoidal waves as compared to two-level inverter by decreasing total harmonic distortion (THD) in WECS with a permanent magnet synchronous generator (PMSG). Also, a maximum power point tracking (MPPT) algorithm is based on an optimal torque controller, employed to extract more power. In this study, a WECS with a PMSG connected to the local linear resistive load and grid is considered for simulation. A multilevel inverter grid interface is controlled by in phase disposition pulse width modulation (IPD – PWM). The multilevel inverter with MPPT has been acknowledged as superior to a normal two-level inverter without MPPT Controller. Simulation results as observed for fixed and variable wind speed including MPPT demonstrate benefits of the proposed method.

scholarly journals Optimal Transient Search Algorithm-Based PI Controllers for Enhancing Low Voltage Ride-Through Ability of Grid-Linked PMSG-Based Wind Turbine

Electronics ◽  
2020 ◽  
Vol 9 (11) ◽  
pp. 1807
Author(s):  
Mohammed H. Qais ◽  
Hany M. Hasanien ◽  
Saad Alghuwainem
Keyword(s):  
Wind Turbine ◽  
Low Voltage ◽  
Search Algorithm ◽  
Fitness Function ◽  
Synchronous Generator ◽  
Pi Control ◽  
Low Voltage Ride Through ◽  
Control Scheme ◽  
Pi Controllers ◽  
Grid Side

This paper depicts a new attempt to apply a novel transient search optimization (TSO) algorithm to optimally design the proportional-integral (PI) controllers. Optimal PI controllers are utilized in all converters of a grid-linked permanent magnet synchronous generator (PMSG) powered by a variable-speed wind turbine. The converters of such wind energy systems contain a generator-side converter (GSC) and a grid-side inverter (GSI). Both of these converters are optimally controlled by the proposed TSO-based PI controllers using a vector control scheme. The GSC is responsible for regulating the maximum power point, the reactive generator power, and the generator currents. In addition, the GSI is essentially controlled to control the point of common coupling (PCC) voltage, DC link voltage, and the grid currents. The TSO is applied to minimize the fitness function, which has the sum of these variables’ squared error. The optimization problem’s constraints include the range of the proportional and integral gains of the PI controllers. All the simulation studies, including the TSO code, are implemented using PSCAD software. This represents a salient and new contribution of this study, where the TSO is coded using Fortran language within PSCAD software. The TSO-PI control scheme’s effectiveness is compared with that achieved by using a recent grey wolf optimization (GWO) algorithm–PI control scheme. The validity of the proposed TSO–PI controllers is tested under several network disturbances, such as subjecting the system to balanced and unbalanced faults. With the optimal TSO–PI controller, the low voltage ride-through ability of the grid-linked PMSG can be further improved.

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