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Discrete-Time Adaptive Decentralized Control for Interconnected Multi-Machine Power Systems with Input Quantization
2022
Machines
This study contrives a discrete-time adaptive decentralized control algorithm with input quantization for interconnected multi-machine power systems with SVC. First, a dynamic surface scheme is applied to the excitation controller design, in which first-order digital low-pass filters are used to predict the next virtual control law, which overcomes the model conversion problem in backstepping. Therefore, the controller design and structure are simplified. Further, an improved hysteresis
doi:10.3390/machines10100878
fatcat:ezl6dmz7jjebnpeq7j3seqc23y