The Experts below are selected from a list of 36 Experts worldwide ranked by ideXlab platform
David G Dorrell - One of the best experts on this subject based on the ideXlab platform.
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model predictive control of inverters for both islanded and Grid connected operations in renewable power generations
Iet Renewable Power Generation, 2014Co-Authors: Jianguo Zhu, David G DorrellAbstract:As the penetration of renewable power generation units connected to the Grid increases, high power quality and flexible power regulation have raised much concern. This study proposes a competitive model predictive control strategy for inverters in renewable power generation applications. The controller uses the system model to predict the system behaviour in each sampling interval for each voltage vector, and the most appropriate vector is then chosen according to an optimisation criterion. In islanded mode, the control objectives of the cost function are the α and β components of the voltage so that stable voltage for the local loads can be established. In addition, a fast re-synchronisation scheme is introduced to achieve Smooth Grid connection. After connected to the Grid, a new prediction scheme is developed to fulfill flexible active and reactive power regulation. Furthermore, a switching frequency reduction scheme is presented to reduce switching losses, which are especially significant when considering efficiency for renewable power generations. The effectiveness of the proposed control strategy was tested by simulation using MATLAB/Simulink and experimentally validated on a laboratory prototype.
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predictive direct virtual torque and power control of doubly fed induction generators for fast and Smooth Grid synchronization and flexible power regulation
IEEE Transactions on Power Electronics, 2013Co-Authors: Jiefeng Hu, Yongchang Zhang, Glenn Platt, David G DorrellAbstract:Predictive direct torque control of the electric motors has been well developed. It is simple and has excellent steady state and transient performance. However, further developments are still under investigation for applications in the field of power generation. This paper presents a predictive direct virtual torque and power control strategy for a doubly fed induction generator, which allows fast and Smooth Grid synchronization, and flexible active and reactive power regulation. In the no-load mode, predictive direct virtual torque control is employed to meet the Grid synchronization conditions. In the Grid-connected mode, predictive direct power control is utilized to achieve flexible active and reactive power regulation. To simplify the control system structure and improve the reliability, a sensorless rotor position scheme is proposed. Furthermore, a model-based predictive scheme is introduced to compensate for a one-step delay in the digital implementation. The proposed control strategy is very simple and robust. There is constant switching frequency, while the requirement of Smooth and fast Grid synchronization is fulfilled. The transition from no load to flexible power regulation is achieved without changing the switching table. The proposed control strategy was tested by simulation using MATLAB/Simulink and experimentally validated on a 20-kW laboratory prototype.
Jianguo Zhu - One of the best experts on this subject based on the ideXlab platform.
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model predictive virtual power control of brushless doubly fed induction generator for fast and Smooth Grid synchronisation
Iet Renewable Power Generation, 2019Co-Authors: Xinchi Wei, Ming Cheng, Rensong Luo, Jianguo ZhuAbstract:This study presents a model predictive virtual power control (MPVPC) method for brushless doubly-fed induction generator (BDFIG) during the Grid synchronisation process. Predictive virtual power model is developed for the first time based on the defined virtual power and state-space equation of BDFIG. The control characteristics of virtual power are analysed to explain clearly how to realise Grid synchronisation condition through the control of virtual power. The MPVPC controller is then designed to unify the control structure during the transition from the Grid synchronisation mode to the Grid connected mode, and only flux feedback needs to be changed between these two modes. The consistency between theoretical analysis and actual performance is confirmed by the results of both numerical simulation and experimental tests. As demonstrated, the proposed MPVPC controller can achieve fast and Smooth Grid synchronisation and excellent decoupled control of active power and reactive power.
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model predictive control of inverters for both islanded and Grid connected operations in renewable power generations
Iet Renewable Power Generation, 2014Co-Authors: Jianguo Zhu, David G DorrellAbstract:As the penetration of renewable power generation units connected to the Grid increases, high power quality and flexible power regulation have raised much concern. This study proposes a competitive model predictive control strategy for inverters in renewable power generation applications. The controller uses the system model to predict the system behaviour in each sampling interval for each voltage vector, and the most appropriate vector is then chosen according to an optimisation criterion. In islanded mode, the control objectives of the cost function are the α and β components of the voltage so that stable voltage for the local loads can be established. In addition, a fast re-synchronisation scheme is introduced to achieve Smooth Grid connection. After connected to the Grid, a new prediction scheme is developed to fulfill flexible active and reactive power regulation. Furthermore, a switching frequency reduction scheme is presented to reduce switching losses, which are especially significant when considering efficiency for renewable power generations. The effectiveness of the proposed control strategy was tested by simulation using MATLAB/Simulink and experimentally validated on a laboratory prototype.
Jiefeng Hu - One of the best experts on this subject based on the ideXlab platform.
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predictive direct virtual torque and power control of doubly fed induction generators for fast and Smooth Grid synchronization and flexible power regulation
IEEE Transactions on Power Electronics, 2013Co-Authors: Jiefeng Hu, Yongchang Zhang, Glenn Platt, David G DorrellAbstract:Predictive direct torque control of the electric motors has been well developed. It is simple and has excellent steady state and transient performance. However, further developments are still under investigation for applications in the field of power generation. This paper presents a predictive direct virtual torque and power control strategy for a doubly fed induction generator, which allows fast and Smooth Grid synchronization, and flexible active and reactive power regulation. In the no-load mode, predictive direct virtual torque control is employed to meet the Grid synchronization conditions. In the Grid-connected mode, predictive direct power control is utilized to achieve flexible active and reactive power regulation. To simplify the control system structure and improve the reliability, a sensorless rotor position scheme is proposed. Furthermore, a model-based predictive scheme is introduced to compensate for a one-step delay in the digital implementation. The proposed control strategy is very simple and robust. There is constant switching frequency, while the requirement of Smooth and fast Grid synchronization is fulfilled. The transition from no load to flexible power regulation is achieved without changing the switching table. The proposed control strategy was tested by simulation using MATLAB/Simulink and experimentally validated on a 20-kW laboratory prototype.
Xinchi Wei - One of the best experts on this subject based on the ideXlab platform.
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model predictive virtual power control of brushless doubly fed induction generator for fast and Smooth Grid synchronisation
Iet Renewable Power Generation, 2019Co-Authors: Xinchi Wei, Ming Cheng, Rensong Luo, Jianguo ZhuAbstract:This study presents a model predictive virtual power control (MPVPC) method for brushless doubly-fed induction generator (BDFIG) during the Grid synchronisation process. Predictive virtual power model is developed for the first time based on the defined virtual power and state-space equation of BDFIG. The control characteristics of virtual power are analysed to explain clearly how to realise Grid synchronisation condition through the control of virtual power. The MPVPC controller is then designed to unify the control structure during the transition from the Grid synchronisation mode to the Grid connected mode, and only flux feedback needs to be changed between these two modes. The consistency between theoretical analysis and actual performance is confirmed by the results of both numerical simulation and experimental tests. As demonstrated, the proposed MPVPC controller can achieve fast and Smooth Grid synchronisation and excellent decoupled control of active power and reactive power.
Glenn Platt - One of the best experts on this subject based on the ideXlab platform.
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predictive direct virtual torque and power control of doubly fed induction generators for fast and Smooth Grid synchronization and flexible power regulation
IEEE Transactions on Power Electronics, 2013Co-Authors: Jiefeng Hu, Yongchang Zhang, Glenn Platt, David G DorrellAbstract:Predictive direct torque control of the electric motors has been well developed. It is simple and has excellent steady state and transient performance. However, further developments are still under investigation for applications in the field of power generation. This paper presents a predictive direct virtual torque and power control strategy for a doubly fed induction generator, which allows fast and Smooth Grid synchronization, and flexible active and reactive power regulation. In the no-load mode, predictive direct virtual torque control is employed to meet the Grid synchronization conditions. In the Grid-connected mode, predictive direct power control is utilized to achieve flexible active and reactive power regulation. To simplify the control system structure and improve the reliability, a sensorless rotor position scheme is proposed. Furthermore, a model-based predictive scheme is introduced to compensate for a one-step delay in the digital implementation. The proposed control strategy is very simple and robust. There is constant switching frequency, while the requirement of Smooth and fast Grid synchronization is fulfilled. The transition from no load to flexible power regulation is achieved without changing the switching table. The proposed control strategy was tested by simulation using MATLAB/Simulink and experimentally validated on a 20-kW laboratory prototype.