Control of three-phase PWM boost rectifiers using proportional-resonant controllers

Rocha, Marco Auralio; Souza, Wallace Gabriel de; Serni, Paulo José Amaral; Andreoli, André Luiz; Clerice, Gulherme Augusto Marabezzi; Silva, Paulo Sérgio da

doi:10.1109/sbse.2018.8395803

Cited by 9 publications

(6 citation statements)

References 2 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…It is further used for studying fault ride through of grid-following inverters [36,37], and current limiting strategy under unbalanced grid condition [38]. However, the sequence component extraction from the measured currents and its control is a challenge in the PNSC method using dual "dq" frame [39,40]. Negative sequences in the conventional "dq" frame and positive sequences in a counter-clockwise "dq" frame appear as pulsating components with the frequency of 2ω0 [12].…”

Section: Grid-following Inverter Control Strategiesmentioning

confidence: 99%

Control of Grid-Following Inverters Under Unbalanced Grid Conditions

Zarei

Mokhtari

Ghasemi

et al. 2020

IEEE Trans. Energy Convers.

View full text Add to dashboard Cite

This paper proposes a new control scheme to eliminate the 3 rd harmonic in the output currents of grid-following inverters under unbalanced grid conditions. Unbalanced grids adversely affect the performance of grid-following inverters due to the oscillations appearing on the DC-link voltage with a frequency twice the line frequency. The paper is based on instantaneous active reactive control (IARC) technique due to its advantages over other existing methods. However, the presence of severe asymmetrical 3 rd harmonic distortions in the inverter output currents is the main challenge with IARC method, which impairs the power quality requirements. This paper enhances the IARC scheme by proposing a 3 rd harmonic elimination approach by adopting a current reference generation method using the symmetric sequence components concept. Furthermore, the proposed scheme complies with the grid code requirements by injecting the requested reactive current. Finally, the proposed approach is evaluated by theoretical and simulation analysis and validated experimentally using a hardware setup.

show abstract

Section: Grid-following Inverter Control Strategiesmentioning

confidence: 99%

Control of Grid-Following Inverters Under Unbalanced Grid Conditions

Zarei

Mokhtari

Ghasemi

et al. 2020

IEEE Trans. Energy Convers.

View full text Add to dashboard Cite

show abstract

“…1 shows the process of OCFs diagnosis system for 3-phase PWM VSRs, where the OCF happens in S a+ , and the D1 is still working normally. In this paper, the Proportional-Resonant (PR) controller is used to complete the control of 3-phase PWM VSRs, which can refer to [33].…”

Section: Ocfs Data Acquisition Based On Actual Experimentsmentioning

confidence: 99%

Fault diagnosis for three-phase PWM rectifier based on deep feedforward network with transient synthetic features

et al. 2020

View full text Add to dashboard Cite

“…2 shows the open‐circuit faults in S1 and S3. For the proportional–resonant controller used in this paper, refer to [32], and the control block diagram of the three‐phase PWM rectifier is shown in Fig. 3.…”

Section: Fault Data Acquisition and Features Analysismentioning

confidence: 99%

Data‐driven design of fault diagnosis for three‐phase PWM rectifier using random forests technique with transient synthetic features

Kou

Liu

Cai

et al. 2020

IET power electron.

View full text Add to dashboard Cite

A three-phase pulse-width modulation (PWM) rectifier can usually maintain operation when open-circuit faults occur in insulated-gate bipolar transistors (IGBTs), which will lead the system to be unstable and unsafe. Aiming at this problem, based on random forests with transient synthetic features, a data-driven online fault diagnosis method is proposed to locate the opencircuit faults of IGBTs timely and effectively in this study. Firstly, by analysing the open-circuit fault features of IGBTs in the three-phase PWM rectifier, it is found that the occurrence of the fault features is related to the fault location and time, and the fault features do not always appear immediately with the occurrence of the fault. Secondly, different data-driven fault diagnosis methods are compared and evaluated, the performance of random forests algorithm is better than that of support vector machine or artificial neural networks. Meanwhile, the accuracy of fault diagnosis classifier trained by transient synthetic features is higher than that trained by original features. Also, the random forests fault diagnosis classifier trained by multiplicative features is the best with fault diagnosis accuracy can reach 98.32%. Finally, the online fault diagnosis experiments are carried out and the results demonstrate the effectiveness of the proposed method, which can accurately locate the open-circuit faults in IGBTs while ensuring system safety.

show abstract

Control of three-phase PWM boost rectifiers using proportional-resonant controllers

Cited by 9 publications

References 2 publications

Control of Grid-Following Inverters Under Unbalanced Grid Conditions

Control of Grid-Following Inverters Under Unbalanced Grid Conditions

Fault diagnosis for three-phase PWM rectifier based on deep feedforward network with transient synthetic features

Data‐driven design of fault diagnosis for three‐phase PWM rectifier using random forests technique with transient synthetic features

Contact Info

Product

Resources

About