Model-Independent Derivative Control Delay Compensation Methods for Power Systems
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Energies 2020, 13(2), 342; https://doi.org/10.3390/en13020342
Received: 5 December 2019
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Revised: 26 December 2019
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Accepted: 7 January 2020
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Published: 10 January 2020
(This article belongs to the Special Issue Advanced Solutions for Monitoring, Protection and Control of Modern Power Transmission System)
The paper examines the effectiveness of utilizing the derivatives of time delayed, wide-area signals in mitigating their destabilizing impact on power system dynamic response. In particular, the paper discusses two derivative control-based delay compensation methods, namely proportional-derivative (PD) and predictor-based delay compensation. The two methods are compared in terms of their open-loop signal fidelity and their impact on the closed-loop system stability. The paper also provides a technique to carry out small-signal stability analysis with inclusion of derivative control based compensation, which leads to a Neutral Time-Delay System (NTDS). In addition, we provide a new theorem on the stability of the NTDS. Finally, nonlinear time domain simulations and eigenvalue analysis based on the IEEE 14-bus and New England 39-bus systems were carried out for the sake of comparison of the two delay compensation methods.
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Keywords:
delay compensation; proportional-derivative (PD) control; predictor-based control; small-signal stability analysis; Neutral Time-Delay System (NTDS)
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MDPI and ACS Style
Liu, M.; Dassios, I.; Tzounas, G.; Milano, F. Model-Independent Derivative Control Delay Compensation Methods for Power Systems. Energies 2020, 13, 342. https://doi.org/10.3390/en13020342
AMA Style
Liu M, Dassios I, Tzounas G, Milano F. Model-Independent Derivative Control Delay Compensation Methods for Power Systems. Energies. 2020; 13(2):342. https://doi.org/10.3390/en13020342
Chicago/Turabian StyleLiu, Muyang, Ioannis Dassios, Georgios Tzounas, and Federico Milano. 2020. "Model-Independent Derivative Control Delay Compensation Methods for Power Systems" Energies 13, no. 2: 342. https://doi.org/10.3390/en13020342
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