2021
DOI: 10.1016/j.epsr.2021.107536
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Impact of continuous stochastic and spatially distributed perturbations on power system frequency stability

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Cited by 9 publications
(4 citation statements)
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“…Notably, the parameter matrices A f , B f , C f , and G f in Equation ( 1) are fixed constants that cannot be changed once the state space model is determined. Therefore, the control delay τ is decomposed or reconstructed to optimize the output feedback controller (8).…”
Section: Controller Optimization Based On the Padé Approximationmentioning
confidence: 99%
See 1 more Smart Citation
“…Notably, the parameter matrices A f , B f , C f , and G f in Equation ( 1) are fixed constants that cannot be changed once the state space model is determined. Therefore, the control delay τ is decomposed or reconstructed to optimize the output feedback controller (8).…”
Section: Controller Optimization Based On the Padé Approximationmentioning
confidence: 99%
“…Therefore, the frequency dynamics in cases with uncertain fluctuations should be considered. The stochastic dynamics of system frequency in situations with spatially distributed disturbances were investigated in [8] using stochastic differential equations and the Fokker–Planck equations. The study showed that with increasing reactance distance, the probability of significant frequency dynamics occurring in modern power systems decreases.…”
Section: Introductionmentioning
confidence: 99%
“…Finally, the authors propose two optimization frameworks: optimize parameters for the piecewise function (find optimal values for threshold, load conditions and dead band values) and optimize parameters for SOC alpha values. For those optimization problems, two objective functions were defined: the root mean squared (rms) values for SOC in (15) and frequency deviation in (16).…”
Section: Frequency Controlmentioning
confidence: 99%
“…During the last decade, these challenges have been faced and extensive research has been published, allowing to find new operational structures, technical advantages, and also new questions to be answered. For example, multiple studies have shown how technically advantageous can be the implementation of DER in distribution networks in terms of power loss reduction, voltage regulation, network loadability, network capacity, system flexibility, frequency regulation, Demand Response, Curtailment, maximization of profit, or minimization of costs [10], [15] - [23]. However, analysis of DER in power systems is usually performed assuming certainty conditions (by means forecasts, study-cases, static behavior, or linearization), thus limiting the scope of obtained results, or by implementing variability compensation systems in the effort to increase the inertial response during electricity supply [24] or the stability [25], [26], for instance, using Battery Energy Storage Systems (BESS), flywheels or hydro-pumped storage [13].…”
Section: Introductionmentioning
confidence: 99%