Dao Zhou - Academia.edu (original) (raw)
Papers by Dao Zhou
Science of The Total Environment, May 1, 2023
Frontiers in Cardiovascular Medicine, Dec 22, 2021
IEEE Conference Proceedings, 2020
IEEE Conference Proceedings, 2016
IEEE Conference Proceedings, 2016
IEEE Transactions on Power Electronics, Nov 1, 2022
IEEE Transactions on Power Electronics, Dec 1, 2022
IEEE Transactions on Smart Grid, Nov 1, 2021
Journal of modern power systems and clean energy, Jul 1, 2016
2022 International Power Electronics Conference (IPEC-Himeji 2022- ECCE Asia), May 15, 2022
This paper presents a grid voltage sensorless control strategy for three-phase LCL-type grid-conn... more This paper presents a grid voltage sensorless control strategy for three-phase LCL-type grid-connected inverters by only using inverter current. The capacitor voltage is estimated based on linear regression of the multisampled current during zero voltage vectors, which is used for the grid synchronization in a phase-locked loop (PLL). Single-loop control with inverter current feedback is employed because the multisampling can reduce control delays and extend the stability range. Moreover, based on the fast response of multisampling control, the inverter current feedforward is utilized to compensate the impact of the grid on the inrush current. Finally, the effectiveness of the proposed method is verified through the simulation.
Microelectronics Reliability, Nov 1, 2020
Chinese Physics B, May 1, 2009
It is known that the strength of concrete is seriously affected by damage and cracking. In this p... more It is known that the strength of concrete is seriously affected by damage and cracking. In this paper, six concrete samples under different damage levels are studied. The experimental results show a linear dependence of the resonance frequency shift on strain amplitude at the fundamental frequency, and approximate quadratic dependence of the amplitudes of the second and third harmonics on strain amplitude at the fundamental frequency as well. In addition, the amplitude of the third harmonics is shown to increase with the increase of damage level, which is even higher than that of the second harmonics in samples with higher damage levels. These are three properties of non-classical nonlinear acoustics. The nonlinear parameters increase from 106 to 108 with damage level, and are more sensitive to the damage level of the concrete than the linear parameters obtained by using traditional acoustics methods. So, this method based on non-classical nonlinear acoustics may provide a better means of non-destructive testing (NDT) of concrete and other porous materials.
Springer eBooks, Sep 29, 2007
ABSTRACT
Due to the increasing performance and decreasing price of microcontrollers, applying a high sampl... more Due to the increasing performance and decreasing price of microcontrollers, applying a high sampling frequency becomes more feasible in modern control. This approach is known as multisampling technology. This paper tries to give an overview of the multisampling application in power electronics converters as it enables a lot of opportunities. First, the multisampling can reduce control delays and thereby break bandwidth limitations in power electronic controllers. Secondly, a smarter control strategy can be realized with more current, voltage and system information acquired through multisampling techniques. However, this approach may also introduce two major drawbacks: risk of dead bands and high-frequency switching ripples, which may degrade the system stability margin. To address these issues, different solutions are explored and illustrated in this paper.
Applied sciences, May 10, 2021
Due to its economical and environmental benefits to society and industry, integrating solar power... more Due to its economical and environmental benefits to society and industry, integrating solar power is continuously growing in many utilities and Independent System Operators (ISOs). However, the intermittent nature of the renewable energy brings new challenges to the system operators. One key to resolve this problem is to have a ubiquitously efficient solar power output forecasting system, so as to help enhance system reliability, improve power quality, achieve better generation scheduling and formulate superior bidding strategies in market. This paper proposes an ensemble learning method to forecast solar power output, combining the state-of-art statistical learning methods. The performance of the model is evaluated through comparing with a benchmark with different metrics, and the numerical results validate the effectiveness of the model.
Science of The Total Environment, May 1, 2023
Frontiers in Cardiovascular Medicine, Dec 22, 2021
IEEE Conference Proceedings, 2020
IEEE Conference Proceedings, 2016
IEEE Conference Proceedings, 2016
IEEE Transactions on Power Electronics, Nov 1, 2022
IEEE Transactions on Power Electronics, Dec 1, 2022
IEEE Transactions on Smart Grid, Nov 1, 2021
Journal of modern power systems and clean energy, Jul 1, 2016
2022 International Power Electronics Conference (IPEC-Himeji 2022- ECCE Asia), May 15, 2022
This paper presents a grid voltage sensorless control strategy for three-phase LCL-type grid-conn... more This paper presents a grid voltage sensorless control strategy for three-phase LCL-type grid-connected inverters by only using inverter current. The capacitor voltage is estimated based on linear regression of the multisampled current during zero voltage vectors, which is used for the grid synchronization in a phase-locked loop (PLL). Single-loop control with inverter current feedback is employed because the multisampling can reduce control delays and extend the stability range. Moreover, based on the fast response of multisampling control, the inverter current feedforward is utilized to compensate the impact of the grid on the inrush current. Finally, the effectiveness of the proposed method is verified through the simulation.
Microelectronics Reliability, Nov 1, 2020
Chinese Physics B, May 1, 2009
It is known that the strength of concrete is seriously affected by damage and cracking. In this p... more It is known that the strength of concrete is seriously affected by damage and cracking. In this paper, six concrete samples under different damage levels are studied. The experimental results show a linear dependence of the resonance frequency shift on strain amplitude at the fundamental frequency, and approximate quadratic dependence of the amplitudes of the second and third harmonics on strain amplitude at the fundamental frequency as well. In addition, the amplitude of the third harmonics is shown to increase with the increase of damage level, which is even higher than that of the second harmonics in samples with higher damage levels. These are three properties of non-classical nonlinear acoustics. The nonlinear parameters increase from 106 to 108 with damage level, and are more sensitive to the damage level of the concrete than the linear parameters obtained by using traditional acoustics methods. So, this method based on non-classical nonlinear acoustics may provide a better means of non-destructive testing (NDT) of concrete and other porous materials.
Springer eBooks, Sep 29, 2007
ABSTRACT
Due to the increasing performance and decreasing price of microcontrollers, applying a high sampl... more Due to the increasing performance and decreasing price of microcontrollers, applying a high sampling frequency becomes more feasible in modern control. This approach is known as multisampling technology. This paper tries to give an overview of the multisampling application in power electronics converters as it enables a lot of opportunities. First, the multisampling can reduce control delays and thereby break bandwidth limitations in power electronic controllers. Secondly, a smarter control strategy can be realized with more current, voltage and system information acquired through multisampling techniques. However, this approach may also introduce two major drawbacks: risk of dead bands and high-frequency switching ripples, which may degrade the system stability margin. To address these issues, different solutions are explored and illustrated in this paper.
Applied sciences, May 10, 2021
Due to its economical and environmental benefits to society and industry, integrating solar power... more Due to its economical and environmental benefits to society and industry, integrating solar power is continuously growing in many utilities and Independent System Operators (ISOs). However, the intermittent nature of the renewable energy brings new challenges to the system operators. One key to resolve this problem is to have a ubiquitously efficient solar power output forecasting system, so as to help enhance system reliability, improve power quality, achieve better generation scheduling and formulate superior bidding strategies in market. This paper proposes an ensemble learning method to forecast solar power output, combining the state-of-art statistical learning methods. The performance of the model is evaluated through comparing with a benchmark with different metrics, and the numerical results validate the effectiveness of the model.