Model predictive control of nine-switch converter with output filter for independent control of two loads

Pang, Yutao; Zhang, Jingmei; Xu, Dongxing; Yin, Chang Yi; Wu, Zifeng; Sun, Hexu; Pan, Lei

doi:10.1007/s43236-020-00145-0

Cited by 4 publications

(1 citation statement)

References 18 publications

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“…However, there are many outfield disturbances (nonlinearity, modeling errors, parameter perturbations, and many other uncertainties) in practice, while the fault detection filter does not consider robustness. It is not conducive to solving practical problems [4][5][6].…”

Section: Introductionmentioning

confidence: 99%

Real-Time Monitoring of High Voltage Switch Based on CAD

Long¹,

Xiao²,

Hu³

et al. 2022

Advances in Multimedia

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In the process of online real-time monitoring of intelligent digital filter high-voltage switchgear, the mechanical state diagnosis of high-voltage circuit breaker is based on fully understanding the mechanical characteristics of each component of circuit breaker. In this paper, K-means clustering algorithm is applied to the mechanical state detection of digital filter high-voltage switchgear. The mechanical state of the digital filter high-voltage switchgear is monitored in real time by using 126 kV GIS. Through fault simulation experiment and mechanical stability experiment, the corresponding changes of characteristics of each mechanical component of circuit breaker in signal waveform and corresponding data changes are found. The experimental results show that this method has good running speed and stability and is more suitable for the real-time monitoring of intelligent digital filter high-voltage switchgear.

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Section: Introductionmentioning

confidence: 99%