2014
DOI: 10.1016/j.epsr.2013.10.014
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Adaptive scheme for local prediction of post-contingency power system frequency

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Cited by 17 publications
(13 citation statements)
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“…In adaptive schemes, the relay decision is made only on the basis of ROCOF. An adaptive under frequency load shedding scheme should possess the following characteristics that is, predicting the magnitude of disturbances, localization of that disturbance, derivation and distribution of the control action 43 . Various researchers have worked to form an adaptive protection scheme based on UFLS relays.…”
Section: Sips Applicationsmentioning
confidence: 99%
“…In adaptive schemes, the relay decision is made only on the basis of ROCOF. An adaptive under frequency load shedding scheme should possess the following characteristics that is, predicting the magnitude of disturbances, localization of that disturbance, derivation and distribution of the control action 43 . Various researchers have worked to form an adaptive protection scheme based on UFLS relays.…”
Section: Sips Applicationsmentioning
confidence: 99%
“…where timer snd is the timer amount after LS step s, time step n, and disturbance d. According to (13), binary variable u snd takes 1 if the time elapsed in load shedding step s has exceeded the specified delay time t s . UFLS relays operate once in each LS step.…”
Section: Minimizing Expected Amount Of Lsmentioning
confidence: 99%
“…A mixed‐integer linear programming (MILP) has been developed for minimizing the amount of LS after disturbances with optimal setting of the UFLS relays in Ceja‐Gomez et al In Chang et al regression tree method has been implemented for predicting the frequency deviation following a generator loss. The artificial neutral network (ANN) and support vector regression methods have been also applied for prediction of power system frequency response after disturbance occurrence . The power system frequency has been predicted using the online data obtained from phasor measurement units after disturbance occurs, and then, a LS method has been proposed .…”
Section: Introductionmentioning
confidence: 99%
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“…The use of Artificial Intelligence in power system stability analysis is an active research area that has received significant attention in the past few years. Beside the aforementioned works, AI have been successfully used for dynamic stability assessment such as frequency stability [17], [18], rotor angle stability [10], [19], [12], voltage stability [20], [21], [22] and fault location, detection and diagnosis [23], [24]. While in online applications the computational speed of the AI-based approach is a critical issue, for offline applications such as [10], [22], [12] the speed of simulation is not critical but desired as it increases productivity and minimizes costs [25].…”
Section: Introductionmentioning
confidence: 99%