Response of Large Power Systems to Cyclic Load Variations

Ness, J. E. Van

doi:10.1109/tpas.1966.291699

Cited by 44 publications

(16 citation statements)

References 1 publication

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“…One of the first papers to discuss forced oscillations is [3]. The author simulated the response of a simplistic system to a cyclic load.…”

Section: Forced Oscillation Backgroundmentioning

confidence: 99%

“…The author simulated the response of a simplistic system to a cyclic load. Key notes in [3] are the harmonic nature of the response, and the resonance with the system. Noting that the paper was written in 1966 prior to the powerful simulation and analysis tools of today, the paper is very insightful.…”

Section: Forced Oscillation Backgroundmentioning

confidence: 99%

“…Several researchers have noted the harmonic nature of a forced oscillation (e.g., [3]- [7], [13]). Certainly, a harmonic response is a signature of a forced oscillation; but, not all forced oscillation inputs are harmonic in nature.…”

Section: Natural Versus Forced Oscillationsmentioning

confidence: 99%

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Distinguishing features of natural and forced oscillations

Xie

Trudnowski

2015

2015 IEEE Power &Amp; Energy Society General Meeting

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Synchronous power systems often experience two types of oscillatory responses: natural and forced. Natural oscillations are a transient response characterized by the electromechanical oscillation modes. If one or more of these modes are undamped, a sustained oscillation occurs with the system in a near unstable condition. Alternatively, forced oscillations are typically caused by some rouge input driving the system into a sustained oscillation. An example is an ill-operating power-plant steam valve oscillating in a limit-cycle. This paper examines the unique features that may allow one to distinguish between a very lightly-damped (or undamped) natural oscillation and a forced oscillation. We first provide a unique mathematical representation for forced versus natural oscillations. The model is then used to show that the noise response of the system under the undamped natural case is considerably different than under the forced case. We show a spectral approach for using this difference to distinguish between the oscillation types.

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“…One of the first papers to discuss forced oscillations is [3]. The author simulated the response of a simplistic system to a cyclic load.…”

Section: Forced Oscillation Backgroundmentioning

confidence: 99%

Section: Forced Oscillation Backgroundmentioning

confidence: 99%

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Distinguishing features of natural and forced oscillations

Xie

Trudnowski

2015

2015 IEEE Power &Amp; Energy Society General Meeting

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“…Different from the natural electromechanical modal oscillations, forced oscillations in power systems are caused by external sources such as cyclic loads and control failures in generator sites [1], [2]. The identification of these forced oscillations has been a significant problem for the industry.…”

Section: Introductionmentioning

confidence: 99%

Source Location of Forced Oscillations Using Synchrophasor and SCADA Data

O’Brien¹,

Venkatasubramanian

et al. 2017

Proceedings of the 50th Hawaii International Conference on System Sciences (2017)

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“…34,35 In this connection, electric load movement can also be a quasi-periodic signal to a certain extent as it is generally subject to cyclical variations. [15][16][17] However, the conventional Fourier analysis as the most common analysis method in the frequency domain cannot be directly used for prediction, and only producing the time-averaged spectrum is one disadvantage of the technique of Fourier transforms. The ST 22-27 provides a frequency dependent resolution, while it retains a direct relationship with the Fourier spectrum.…”

Section: Introductionmentioning

confidence: 99%

Complex matrix interpolation model of the S-transform for electric load movement forecast

Zhang

2014

Int. J. Model. Simul. Sci. Comput.

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Electric load movement forecast is increasingly importance for the industry. This study addresses the load movement forecast modeling based on complex matrix interpolation of the S-transform (ST). In complex matrix of time-frequency representation of the ST, each row follows conjugate symmetric property and each column appears a certain degree of similarity. Based on these characteristics, a complex matrix interpolation method for the time-frequency representation of the ST is proposed to interpolate each row of the complex matrix based on the conjugate symmetric property, and then to perform nearestneighbor interpolation on each column. Then with periodic extension for daily and yearly electric load movement, a forecast model employing the complex matrix interpolation of the ST is introduced. The forecast approach is applied to predict daily load movement of the European Network on Intelligent Technologies (EUNITE) load dataset and annual electric load movement of State Gird Corporation of China and its branches in 2005 and 2006. Result analysis indicates workability and effectiveness of the proposed method.

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Response of Large Power Systems to Cyclic Load Variations

Cited by 44 publications

References 1 publication

Distinguishing features of natural and forced oscillations

Distinguishing features of natural and forced oscillations

Source Location of Forced Oscillations Using Synchrophasor and SCADA Data

Complex matrix interpolation model of the S-transform for electric load movement forecast

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