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

Journal Article · Mon Sep 14 00:00:00 EDT 2015 · IEEE Transactions on Smart Grid

DOI:https://doi.org/10.1109/TSG.2015.2470648· OSTI ID:1399389

Liu, Hesen ^[1]; Zhu, Lin ^[1]; Pan, Zhuohong ^[1]; Bai, Feifei ^[1]; Liu, Yong ^[1]; Liu, Yilu ^[1]; Patel, Mahendra ^[2]; Farantatos, Evangelos ^[2]; Bhatt, Navin ^[2]

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

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.

• Research Organization: Oak Ridge National Laboratory (ORNL), Oak Ridge, TN (United States)
• Sponsoring Organization: National Science Foundation (NSF); USDOE
• Grant/Contract Number: AC05-00OR22725
• OSTI ID: 1399389
• Journal Information: IEEE Transactions on Smart Grid, Journal Name: IEEE Transactions on Smart Grid Journal Issue: 3 Vol. 8; ISSN 1949-3053
• Publisher: IEEE
• Country of Publication: United States
• Language: English

Related Subjects

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