scholarly journals Optimal Regulators Conception for Wind Turbine PMSG Generator Using Hooke Jeeves Method

2019 ◽  
Vol 63 (3) ◽  
pp. 151-158
Author(s):  
Lakhdar Mazouz ◽  
Sid Ahmed Zidi ◽  
Ahmed Hafaifa ◽  
Samir Hadjeri ◽  
Tahar Benaissa
Keyword(s):  
Control System ◽  
Wind Turbine ◽  
Permanent Magnet ◽  
Simulation Study ◽  
Synchronous Generator ◽  
Offshore Wind ◽  
Offshore Wind Turbine ◽  
Permanent Magnet Synchronous Generator ◽  
System Parameters ◽  
Wind Turbine Control

This paper explores the optimization of wind turbine control system parameters. The wind turbine based on 5 MW PMSG Permanent magnet synchronous generator with two back-to-back converters which are connected to AC offshore network. For good functioning of the control system based on PI regulators, it is necessary to find a perfect way for calculating the gains of these regulators. In this paper, Hooke Jeeves method is presented as one of optimization solutions that can compute parameters of PI regulators. For this purpose, a model of offshore wind turbine is installed in PSCAD/EMTD in order to perform simulation study in which optimal PI regulators design can be found.

scholarly journals Predictive permanent magnet synchronous generator based small-scale wind energy system at dynamic wind speed analysis for residential net-zero energy building

2021 ◽  
Vol 3 (1) ◽  
pp. 29-49
Author(s):  
Asif Khan ◽  
Saim Memon ◽  
Zafar Said
Keyword(s):  
Control System ◽  
Wind Speed ◽  
Wind Turbine ◽  
Permanent Magnet ◽  
Synchronous Generator ◽  
Energy System ◽  
Small Scale ◽  
Permanent Magnet Synchronous Generator ◽  
Net Zero ◽  
Wind Energy System

Integration of small-scale wind energy system to residential buildings for a target to achieve net-zero CO2 emissions is a revolutionary step to reduce the dependency on the national grid. In this paper, a predictive 20 kVA permanent magnet synchronous generator (PMSG) based small scale wind turbine is investigated at dynamic wind speed with a sensing control system to manage and monitor the power flow for a supply to a typical residential building. A control system is applied that regulates the power from the wind turbine. Results indicate that the proposed control system maximizes the power efficiency within the system. The maximum power generation capacity of the wind turbine is 20 kWh with 415 VAC and 50 Hz frequency. A storage system of 19.2 kWh that supplies the energy to the load side. The applied control unit improves the energy management and protects the power equipment during the faults. The research is conducted using MATLAB/SIMULINK and mathematical formulations.

scholarly journals New Adaptive Control Strategy for a Wind Turbine Permanent Magnet Synchronous Generator (PMSG)

Inventions ◽  
2020 ◽  
Vol 6 (1) ◽  
pp. 3
Author(s):  
Wenping Cao ◽  
Ning Xing ◽  
Yan Wen ◽  
Xiangping Chen ◽  
Dong Wang
Keyword(s):  
Adaptive Control ◽  
Wind Turbine ◽  
Permanent Magnet ◽  
Control Method ◽  
Synchronous Generator ◽  
Permanent Magnet Synchronous Generator ◽  
Model Reference ◽  
Integral Controller ◽  
Proportional Integral Controller ◽  
Model Reference Adaptive

Wind energy conversion systems have become a key technology to harvest wind energy worldwide. In permanent magnet synchronous generator-based wind turbine systems, the rotor position is needed for variable speed control and it uses an encoder or a speed sensor. However, these sensors lead to some obstacles, such as additional weight and cost, increased noise, complexity and reliability issues. For these reasons, the development of new sensorless control methods has become critically important for wind turbine generators. This paper aims to develop a new sensorless and adaptive control method for a surface-mounted permanent magnet synchronous generator. The proposed method includes a new model reference adaptive system, which is used to estimate the rotor position and speed as an observer. Adaptive control is implemented in the pulse-width modulated current source converter. In the conventional model reference adaptive system, the proportional-integral controller is used in the adaptation mechanism. Moreover, the proportional-integral controller is generally tuned by the trial and error method, which is tedious and inaccurate. In contrast, the proposed method is based on model predictive control which eliminates the use of speed and position sensors and also improves the performance of model reference adaptive control systems. In this paper, the proposed predictive controller is modelled in MATLAB/SIMULINK and validated experimentally on a 6-kW wind turbine generator. Test results prove the effectiveness of the control strategy in terms of energy efficiency and dynamical adaptation to the wind turbine operational conditions. The experimental results also show that the control method has good dynamic response to parameter variations and external disturbances. Therefore, the developed technique will help increase the uptake of permanent magnet synchronous generators and model predictive control methods in the wind power industry.

scholarly journals Super-Twisting Second-Order Sliding Mode Control of a Wind Turbine Coupled to a Permanent Magnet Synchronous Generator

2021 ◽  
Vol 14 (1) ◽  
pp. 484-495
Author(s):  
Rania Moutchou ◽  
◽  
Ahmed Abbou ◽  
Salah Rhaili ◽  
◽  
...  
Keyword(s):  
Sliding Mode Control ◽  
Wind Turbine ◽  
Permanent Magnet ◽  
Control Strategy ◽  
Sliding Mode ◽  
Synchronous Generator ◽  
Second Order ◽  
Permanent Magnet Synchronous Generator ◽  
Mode Control ◽  
Second Order Sliding Mode

This paper presents a modelling study and focuses on an advanced higher order slip mode control strategy (Super Twisting Algorithm) for a variable speed wind turbine based on a permanent magnet synchronous generator to capture the maximum possible wind power from the turbine while simultaneously reducing the effect of mechanical stress, powered by a voltage inverter and controlled by vector PWM technique. This paper presents first and second order sliding mode control schemes. On the other hand, a challenging matter of pure SMC of order one can be summed up in the produced chattering phenomenon. In this work, this issue has been mitigated by implementing a new control. The proposed control, characterized by a precision in the case of a continuation of a significant reduction of the interference phenomenon, successfully addresses the problems of essential non-linearity of wind turbine systems. This type of control strategy presents more advanced performances such as behaviour without chattering (no additional mechanical stress), excellent convergence time, robustness in relation to external disturbances (faults in the network) and to non-modelled dynamics (generator and turbine) which have been widely used in power system applications by first order sliding mode control. In particular, second-order sliding regime control algorithms will be applied to the PMSG to ensure excellent dynamic performance. The suggested control is compared to the proportional-integral controller and sliding mode control of order one. The results of simulations under turbulent wind speed and parameter variations show the efficiency, robustness and significantly improved performance of the proposed control approach to distinguish and track quickly (about 10ms depending on the shading pattern) and at the same time saving the main priorities of the sliding mode of order one by reducing the existing chatter. The systems performances were tested and compared using Matlab/Simulink Software.

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