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Adaptive phasor power oscillation damping controllers (APPODs) produce superior large signal performance with very little reliance on accurate system models. However, recursive phasor estimation, online frequency correction and adaptive phase-shift are involved which makes modeling such APPODs difficult in stability studies. Possible interaction with other controllers (e.g. lead-lag compensators)...
This paper illustrates the challenges towards achieving a robust phasor POD (power oscillation damping), a concept introduced and developed by ABB. A Phasor POD extracts the oscillatory part of the measured signal in the form of a phasor and applies a suitable phase shift to derive the damping control action. For a thyristor controlled series capacitor (TCSC), a phase shift of 90 degrees with respect...
Levenberg-Marquardt (LM) algorithm, a powerful off-line batch training method for neural networks, is adapted here for online estimation of power system dynamic behavior. A special form of neural network compatible with the feedback linearization framework is used to enable non-linear self-tuning control. Use of LM is shown to yield better closed-loop performance compared to conventional recursive...
This paper highlights the importance of considering the phase angle of the residues (residue angle) in addition to their magnitude while selecting appropriate feedback signals for damping control design. Residue angle is closely related to the phase compensation requirement at each modal frequency and hence should not differ significantly over adjacent frequencies. This is especially true when the...
An adaptive critic design (ACD)-based damping controller is developed for a thyristor-controlled series capacitor (TCSC) installed in a power system with multiple poorly damped interarea modes. The performance of this ACD computational intelligence-based method is compared with two classical techniques, which are observer-based state-feedback (SF) control and linear matrix inequality LMI-Hinfin robust...
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