ARMAX-Based Transfer Function Model Identification Using Wide-Area Measurement for Adaptive and Coordinated Damping Control

Liu, Hesen; Zhu, Lin; Pan, Zhuohong; Bai, Feifei; Liu, Yong; Liu, Yilu; Patel, Mahendra; Farantatos, Evangelos; Bhatt, Navin

doi:10.1109/TSG.2015.2470648

Title: ARMAX-Based Transfer Function Model Identification Using Wide-Area Measurement for Adaptive and Coordinated Damping Control

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Abstract

One of the main drawbacks of the existing oscillation damping controllers that are designed based on offline dynamic models is adaptivity to the power system operating condition. With the increasing availability of wide-area measurements and the rapid development of system identification techniques, it is possible to identify a measurement-based transfer function model online that can be used to tune the oscillation damping controller. Such a model could capture all dominant oscillation modes for adaptive and coordinated oscillation damping control. our paper describes a comprehensive approach to identify a low-order transfer function model of a power system using a multi-input multi-output (MIMO) autoregressive moving average exogenous (ARMAX) model. This methodology consists of five steps: 1) input selection; 2) output selection; 3) identification trigger; 4) model estimation; and 5) model validation. The proposed method is validated by using ambient data and ring-down data in the 16-machine 68-bus Northeast Power Coordinating Council system. Our results demonstrate that the measurement-based model using MIMO ARMAX can capture all the dominant oscillation modes. Compared with the MIMO subspace state space model, the MIMO ARMAX model has equivalent accuracy but lower order and improved computational efficiency. The proposed model can be applied for adaptive and coordinated oscillationmore » damping control.« less

Authors:

Liu, Hesen ^[1]; Zhu, Lin ^[1];

^[1]; Bai, Feifei ^[1]; Liu, Yong ^[1]; Liu, Yilu ^[1]; Patel, Mahendra ^[2]; Farantatos, Evangelos ^[2]; Bhatt, Navin ^[2]

Univ. of Tennessee, Knoxville, TN (United States). Dept. of Electrical Engineering and Computer Science
Electric Power Research Inst. (EPRI), Palo Alto, CA (United States)

Publication Date:: Mon Sep 14 00:00:00 EDT 2015

Research Org.:: Oak Ridge National Lab. (ORNL), Oak Ridge, TN (United States)

Sponsoring Org.:: USDOE; National Science Foundation (NSF)

OSTI Identifier:: 1399389

Grant/Contract Number:: AC05-00OR22725; EEC1041877

Resource Type:: Accepted Manuscript

Journal Name:: IEEE Transactions on Smart Grid

Additional Journal Information:: Journal Volume: 8; Journal Issue: 3; Journal ID: ISSN 1949-3053

Publisher:: IEEE

Country of Publication:: United States

Language:: English

Subject:: 24 POWER TRANSMISSION AND DISTRIBUTION; autoregressive moving average exogenous (ARMAX); correlation coefficient index; subspace state-space system identification (N2SID); oscillation damping control; subspace state space; system identification; transfer function model; wide-area measurement system

Citation Formats


                    Liu, Hesen, Zhu, Lin, Pan, Zhuohong, Bai, Feifei, Liu, Yong, Liu, Yilu, Patel, Mahendra, Farantatos, Evangelos, and Bhatt, Navin. ARMAX-Based Transfer Function Model Identification Using Wide-Area Measurement for Adaptive and Coordinated Damping Control.  United States: N. p., 2015. 
Web.  doi:10.1109/TSG.2015.2470648.

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                    Liu, Hesen, Zhu, Lin, Pan, Zhuohong, Bai, Feifei, Liu, Yong, Liu, Yilu, Patel, Mahendra, Farantatos, Evangelos, & Bhatt, Navin. ARMAX-Based Transfer Function Model Identification Using Wide-Area Measurement for Adaptive and Coordinated Damping Control.  United States.  https://doi.org/10.1109/TSG.2015.2470648

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                    Liu, Hesen, Zhu, Lin, Pan, Zhuohong, Bai, Feifei, Liu, Yong, Liu, Yilu, Patel, Mahendra, Farantatos, Evangelos, and Bhatt, Navin. Mon .  
"ARMAX-Based Transfer Function Model Identification Using Wide-Area Measurement for Adaptive and Coordinated Damping Control".  United States.  https://doi.org/10.1109/TSG.2015.2470648.  https://www.osti.gov/servlets/purl/1399389.

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@article{osti_1399389,

  title        = {ARMAX-Based Transfer Function Model Identification Using Wide-Area Measurement for Adaptive and Coordinated Damping Control},

  author       = {Liu, Hesen and Zhu, Lin and Pan, Zhuohong and Bai, Feifei and Liu, Yong and Liu, Yilu and Patel, Mahendra and Farantatos, Evangelos and Bhatt, Navin},

  abstractNote = {One of the main drawbacks of the existing oscillation damping controllers that are designed based on offline dynamic models is adaptivity to the power system operating condition. With the increasing availability of wide-area measurements and the rapid development of system identification techniques, it is possible to identify a measurement-based transfer function model online that can be used to tune the oscillation damping controller. Such a model could capture all dominant oscillation modes for adaptive and coordinated oscillation damping control. our paper describes a comprehensive approach to identify a low-order transfer function model of a power system using a multi-input multi-output (MIMO) autoregressive moving average exogenous (ARMAX) model. This methodology consists of five steps: 1) input selection; 2) output selection; 3) identification trigger; 4) model estimation; and 5) model validation. The proposed method is validated by using ambient data and ring-down data in the 16-machine 68-bus Northeast Power Coordinating Council system. Our results demonstrate that the measurement-based model using MIMO ARMAX can capture all the dominant oscillation modes. Compared with the MIMO subspace state space model, the MIMO ARMAX model has equivalent accuracy but lower order and improved computational efficiency. The proposed model can be applied for adaptive and coordinated oscillation damping control.},

  doi          = {10.1109/TSG.2015.2470648},

  journal      = {IEEE Transactions on Smart Grid},

  number       = 3,

  volume       = 8,

  place        = {United States},

  year         = {Mon Sep 14 00:00:00 EDT 2015},

  month        = {Mon Sep 14 00:00:00 EDT 2015}

}

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