2019
DOI: 10.1016/j.epsr.2018.11.007
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Residue phase optimization for power oscillations damping control revisited

Abstract: One of the most used way to tune the parameters of power oscillations damping controllers (like, e.g., the Power System Stabilizers (PSS) of generators) is to provide a phase compensation to 180 degrees of the phase of the residues of the inter-area modes to be damped and, next, to increase the gains of the controllers in order to obtain the desired damping for the aforementioned modes. It is shown here that this way of doing is suboptimal. First, from the physical point of view, there is no a priori reason to… Show more

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Cited by 6 publications
(1 citation statement)
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References 27 publications
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“…Artificial neural network (ANN) and their types are employed as they can robustly perform based on incomplete data tasks for complex problems while dealing with non-linear problems by easily learning from the historical data. Several network structures have been contemplated for PSS design that includes feedforward neural networks, recurrent neural network [33], and pole shifting method [34][35][36].…”
Section: Related Workmentioning
confidence: 99%
“…Artificial neural network (ANN) and their types are employed as they can robustly perform based on incomplete data tasks for complex problems while dealing with non-linear problems by easily learning from the historical data. Several network structures have been contemplated for PSS design that includes feedforward neural networks, recurrent neural network [33], and pole shifting method [34][35][36].…”
Section: Related Workmentioning
confidence: 99%