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Frequency response

About: Frequency response is a research topic. Over the lifetime, 25705 publications have been published within this topic receiving 332249 citations.


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Journal ArticleDOI
TL;DR: Estimates of the dynamic phasor and its derivatives are obtained through the weighted least squares solution of a Taylor approximation using classical windows as weighting factors, which leads to differentiators with ideal frequency response around the fundamental frequency.
Abstract: Estimates of the dynamic phasor and its derivatives are obtained through the weighted least squares solution of a Taylor approximation using classical windows as weighting factors. This solution leads to differentiators with ideal frequency response around the fundamental frequency and to very low sidelobe level over the stopband, which implies low noise sensitivity. The differentiators are maximally flat in the interval centered at the fundamental frequency and have a linear phase response. Therefore, their estimates are free of amplitude and phase distortion and are obtained at once. No further patch is needed to improve their accuracy. Examples of dynamic phasor estimates are illustrated under transient conditions. Special emphasis is put on frequency measurements.

202 citations

Journal ArticleDOI
S.A. Ryder1
TL;DR: In this article, the authors measured the impedance of transformer windings over a wide frequency range and compared the results with reference data using a network analyzer to sweep the frequency range, make the measurements, and analyze the results.
Abstract: This technique measures the impedance of transformer windings over a wide frequency range and compares the results with reference data The author used a network analyzer to sweep the frequency range, make the measurements, and analyze the results

202 citations

Journal ArticleDOI
TL;DR: In this paper, an optimization problem is formulated to optimize the parameters and location of these devices in a power system to increase its resilience, and a case study based on a high-fidelity model of the South-East Australian system is used to illustrate the effectiveness of such devices.
Abstract: The electric power system is witnessing a shift in the technology of generation. Conventional thermal generation based on synchronous machines is gradually being replaced by power electronics interfaced renewable generation. This new mode of generation, however, lacks the natural inertia and governor damping, which are quintessential features of synchronous machines. The loss of these features results in increasing frequency excursions and, ultimately, system instability. Among the numerous studies on mitigating these undesirable effects, the main approach involves virtual inertia (VI) emulation to mimic the behavior of synchronous machines. In this paper, explicit models of grid-following and grid-forming VI devices are developed for inertia emulation and fast frequency response in low-inertia systems. An optimization problem is formulated to optimize the parameters and location of these devices in a power system to increase its resilience. Finally, a case study based on a high-fidelity model of the South-East Australian system is used to illustrate the effectiveness of such devices.

202 citations

Journal ArticleDOI
TL;DR: In this article, the problem of deriving so-called hard error bounds for estimated transfer functions is addressed, i.e., the true system Nyquist plot will be confined with certainty to a given region, provided that the underlying assumptions are satisfied.
Abstract: The problem of deriving so-called hard-error bounds for estimated transfer functions is addressed. A hard bound is one that is sure to be satisfied, i.e. the true system Nyquist plot will be confined with certainty to a given region, provided that the underlying assumptions are satisfied. By blending a priori knowledge and information obtained from measured data, it is shown how the uncertainty of transfer function estimates can be quantified. The emphasis is on errors due to model mismatch. The effects of unmodeled dynamics can be considered as bounded disturbances. Hence, techniques from set membership identification can be applied to this problem. The approach taken corresponds to weighted least-squares estimation, and provides hard frequency-domain transfer function error bounds. The main assumptions used in the current contribution are: that the measurement errors are bounded, that the true system is indeed linear with a certain degree of stability, and that there is some knowledge about the shape of the true frequency response. >

201 citations

01 Jan 2011
TL;DR: In this article, a new load frequency control (LFC) design using the model predictive control (MPC) technique in a multi-area power system is presented, where each local area controller is designed independently such that stability of the overall closed-loop system is guaranteed.
Abstract: This paper presents a new load frequency control (LFC) design using the model predictive control (MPC) technique in a multi-area power system. The MPC technique has been designed such that the effect of the uncertainty due to governor and turbine parameters variation and load disturbance is reduced. Each local area controller is designed independently such that stability of the overall closed-loop system is guaranteed. A frequency response model of multi-area power system is introduced, and physical constraints of the governors and turbines are considered. The model was employed in the MPC structures. Digital simulations for both two and three-area power systems are provided to validate the effectiveness of the proposed scheme. The results show that, with the proposed MPC technique, the overall closed-loop system performance demonstrated robustness in the face of uncertainties due to governors and turbines parameters variation and loads disturbances. A performance comparison between the proposed controller and a classical integral control scheme is carried out confirming the superiority of the

201 citations


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Performance
Metrics
No. of papers in the topic in previous years
YearPapers
2023154
2022389
2021857
20201,105
20191,212
20181,152