Synchronized Phasor Measurement Applications in Power Systems

Ree, Jaime De La; Centeno, Virgilio; Thorp, James S.; Phadke, A.G.

doi:10.1109/tsg.2010.2044815

Cited by 916 publications

(353 citation statements)

References 23 publications

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“…The supervisory signal selects the logical combination used to determine the breaker trip signal from each individual relays trip signals. Adapted from [35].…”

Section: Adjusting the Balance Between The Security And Dependabilitymentioning

confidence: 99%

“…An example of how this can be achieved is the supervision of backup protection using pick up signals from remote PMUs [35]. An example of this is depicted in Fig.…”

Section: Supervision Of Back-up Zonesmentioning

confidence: 99%

“…4 Supervision of backup relay operation using remote PMUs to check for a fault in Zone 3 [35] are selected using transient simulation of various contingencies and system conditions [35].…”

Section: Adaptive Out-of-step Relayingmentioning

confidence: 99%

“…Based on these simulations two zones are defined for impedance relays that are installed close to the anticipated electrical center and any violation of the inner zone denotes an out of step condition [35].…”

Section: Adaptive Out-of-step Relayingmentioning

confidence: 99%

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Improving the performance of power system protection using wide area monitoring systems

Phadke

Wall

Ding

et al. 2016

J. Mod. Power Syst. Clean Energy

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Wide area monitoring (WAM) offers many opportunities to improve the performance of power system protection. This paper presents some of these opportunities and the motivation for their development. This methods include monitoring the suitability of relay characteristics, supervisory control of backup protection, more adaptive and intelligent system protection and the creation of novel system integrity protection scheme. The speed of response required for primary protection means that the role WAM in enhancing protection is limited to backup and system protection. The opportunities offered by WAM for enhancing protection are attractive because of the emerging challenges faced by the modern power system protection. The increasingly variable operating conditions of power systems are making it ever more difficult to select relay characteristics that will be a suitable compromise for all loading conditions and contingencies. The maloperation of relays has contributed to the inception and evolution of 70 % of blackouts, thus the supervision of the backup protection may prove a valuable tool for preventing or limiting the scale of blackouts. The increasing interconnection and complexity of modern power systems has made them more vulnerable to wide area disturbances and this has contributed to several recent blackouts. The proper management of these wide area disturbances is beyond the scope of most of the existing protection and new, adaptive system integrity protection schemes are needed to protect power system security.

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“…The supervisory signal selects the logical combination used to determine the breaker trip signal from each individual relays trip signals. Adapted from [35].…”

Section: Adjusting the Balance Between The Security And Dependabilitymentioning

confidence: 99%

“…An example of how this can be achieved is the supervision of backup protection using pick up signals from remote PMUs [35]. An example of this is depicted in Fig.…”

Section: Supervision Of Back-up Zonesmentioning

confidence: 99%

“…4 Supervision of backup relay operation using remote PMUs to check for a fault in Zone 3 [35] are selected using transient simulation of various contingencies and system conditions [35].…”

Section: Adaptive Out-of-step Relayingmentioning

confidence: 99%

Section: Adaptive Out-of-step Relayingmentioning

confidence: 99%

See 2 more Smart Citations

Improving the performance of power system protection using wide area monitoring systems

Phadke

Wall

Ding

et al. 2016

J. Mod. Power Syst. Clean Energy

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show abstract

“…However, the deployment of phasor measurement units (PMUs) provides a promising way to improve awareness ability of control centers for the disturbed operation scenarios. PMUs, the infrastructure of wide-area monitoring system (WAMS) of power system, is able to measure synchronized phasor data with much higher sampling frequency compared with supervisory control and data acquisition (SCADA) [4]. The measurement accuracy is also reported to be sufficiently satisfactory.…”

Section: Introductionmentioning

confidence: 99%

High-performance predictor for critical unstable generators based on scalable parallelized neural networks

Liu¹,

Yang²,

et al. 2016

J. Mod. Power Syst. Clean Energy

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A high-performance predictor for critical unstable generators (CUGs) of power systems is presented in this paper. The predictor is driven by the MapReduce based parallelized neural networks. Specifically, a group of back propagation neural networks (BPNNs), fed by massive response trajectories data, are efficiently organized and concurrently trained in Hadoop to identify dynamic behavior of individual generator. Rather than simply classifying global stability of power systems, the presented approach is able to distinguish unstable generators accurately with a few cycles of synchronized trajectories after fault clearing, enabling more in-depth emergency awareness based on wide-area implementation. In addition, the technique is of rich scalability due to Hadoop framework, which can be deployed in the control centers as a high-performance computing infrastructure for real-time instability alert. Numerical examples are studied using NPCC 48-machines test system and a realistic power system of China.

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2017

Smart Grid Using Big Data Analytics

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Synchronized Phasor Measurement Applications in Power Systems

Cited by 916 publications

References 23 publications

Improving the performance of power system protection using wide area monitoring systems

Improving the performance of power system protection using wide area monitoring systems

High-performance predictor for critical unstable generators based on scalable parallelized neural networks

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