Event Detection From PMU Generated Big Data using R Programming

Vishwajit Roy; Subrina Sultana Noureen; Stephen Bayne; Argenis Bilbao; Michael Giesselmann

Event Detection From PMU Generated Big Data using R Programming

Vishwajit Roy, Subrina Sultana Noureen, Stephen Bayne, Argenis Bilbao, Michael Giesselmann

Electrical and Computer Engineering

Research output: Contribution to conference › Paper › peer-review

Abstract

Recent advancement in Power System Analysis shows that implementation of PMU (Phasor Measurement Unit) in Smart Grid playing a significant role over SCADA. The main reasoning for that is more sampling data than traditional SCADA system. Every PMU data like voltage, current and Phase angle gives more samples in every second which is helpful for event detection. The enormous data send by each PMU in every second energies the big data issue. To find out and predict the transient situation and even small disturbances or anomalies from big data analysis within the specified short period of time is a challenge for near future. Because introduction of new smart electrical devices will boost up the big data issue. Processing of big data for post disturbance analysis is also an important task. This paper gives a scenario of PMU measurements received to PDC (Phasor Data Concentrator) from PMUs placed in distinct locations and detection of transient events for post disturbance analysis. In this

Original language	English
State	Published - Mar 21 2019

Cite this

@conference{e4ae00a7283f412bba24afd688b258d0,

title = "Event Detection From PMU Generated Big Data using R Programming",

abstract = "Recent advancement in Power System Analysis shows that implementation of PMU (Phasor Measurement Unit) in Smart Grid playing a significant role over SCADA. The main reasoning for that is more sampling data than traditional SCADA system. Every PMU data like voltage, current and Phase angle gives more samples in every second which is helpful for event detection. The enormous data send by each PMU in every second energies the big data issue. To find out and predict the transient situation and even small disturbances or anomalies from big data analysis within the specified short period of time is a challenge for near future. Because introduction of new smart electrical devices will boost up the big data issue. Processing of big data for post disturbance analysis is also an important task. This paper gives a scenario of PMU measurements received to PDC (Phasor Data Concentrator) from PMUs placed in distinct locations and detection of transient events for post disturbance analysis. In this",

author = "Vishwajit Roy and Noureen, {Subrina Sultana} and Stephen Bayne and Argenis Bilbao and Michael Giesselmann",

year = "2019",

month = mar,

day = "21",

language = "English",

}

TY - CONF

T1 - Event Detection From PMU Generated Big Data using R Programming

AU - Roy, Vishwajit

AU - Noureen, Subrina Sultana

AU - Bayne, Stephen

AU - Bilbao, Argenis

AU - Giesselmann, Michael

PY - 2019/3/21

Y1 - 2019/3/21

N2 - Recent advancement in Power System Analysis shows that implementation of PMU (Phasor Measurement Unit) in Smart Grid playing a significant role over SCADA. The main reasoning for that is more sampling data than traditional SCADA system. Every PMU data like voltage, current and Phase angle gives more samples in every second which is helpful for event detection. The enormous data send by each PMU in every second energies the big data issue. To find out and predict the transient situation and even small disturbances or anomalies from big data analysis within the specified short period of time is a challenge for near future. Because introduction of new smart electrical devices will boost up the big data issue. Processing of big data for post disturbance analysis is also an important task. This paper gives a scenario of PMU measurements received to PDC (Phasor Data Concentrator) from PMUs placed in distinct locations and detection of transient events for post disturbance analysis. In this

AB - Recent advancement in Power System Analysis shows that implementation of PMU (Phasor Measurement Unit) in Smart Grid playing a significant role over SCADA. The main reasoning for that is more sampling data than traditional SCADA system. Every PMU data like voltage, current and Phase angle gives more samples in every second which is helpful for event detection. The enormous data send by each PMU in every second energies the big data issue. To find out and predict the transient situation and even small disturbances or anomalies from big data analysis within the specified short period of time is a challenge for near future. Because introduction of new smart electrical devices will boost up the big data issue. Processing of big data for post disturbance analysis is also an important task. This paper gives a scenario of PMU measurements received to PDC (Phasor Data Concentrator) from PMUs placed in distinct locations and detection of transient events for post disturbance analysis. In this

M3 - Paper

ER -

Event Detection From PMU Generated Big Data using R Programming

Abstract

Fingerprint

Cite this