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Distributed Prony analysis for real-world PMU data
2016
Electric power systems research
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For a single PMU signal with 30 Hz sampling rate, merely applying Prony analysis cannot give accurate results of oscillating modes of power systems. ...
Prony analysis has been applied in power system oscillation identification for decades. ...
Acknowledgement This research was funded in part by MISO Energy under project "System Identification Using PMU Data". ...
doi:10.1016/j.epsr.2015.12.008
fatcat:altfnggtbnarvjkgdycxth32yq
Wireless Multiple Access and Analog Oscillation Analysis in Microgrids: A Prony Approach
2012
International Journal of Distributed Sensor Networks
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In both schemes, the Prony-based algorithms using the received signal to estimate the system modal characteristics, including the eigenvalues of the linear system and the amplitudes of different response ...
A key challenge in smart grid is to monitor the system modal characteristics of disturbance over a microgrid for system stability and diagnosis. ...
Therefore, for the reliability of a power system, it is important to estimate the power system state, detect and identify oscillation modes accurately and as early as possible. ...
doi:10.1155/2012/932683
fatcat:dvphizhubjfanipkuz5b3lsve4
A Hybrid Coordinated Design Method for Power System Stabilizer and FACTS Device Based on Synchrosqueezed Wavelet Transform and Stochastic Subspace Identification
2021
Journal of Modern Power Systems and Clean Energy
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Then, the estimated modes of the power system are used for the design of the power system stabilizer and the flexible alternating current transmission system (FACTS) device. ...
The occurrence of low-frequency electromechanical oscillations is a major problem in the effective operation of power systems. ...
CONCLUSION In this paper, a new method of time-frequency analysis is presented to estimate low-frequency oscillation modes, residue values, and transfer function of power system. ...
doi:10.35833/mpce.2019.000496
fatcat:mlq727hylrcj3bzlsojdoweaii
Extracting inter-area oscillation modes using local measurements and data-driven stochastic subspace technique
2017
Journal of Modern Power Systems and Clean Energy
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In this paper, a data-driven stochastic subspace identification (SSI-DATA) technique is proposed as an advanced stochastic system identification (SSI) to extract the inter-area oscillation modes of a power ...
For accurate and robust extraction of the modes' parameters (frequency, damping and mode shape), SSI has already been verified as an effective identification algorithm for output-only modal analysis. ...
Open Access This article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http:// creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution ...
doi:10.1007/s40565-017-0271-6
fatcat:xazhzpuevvedlnqltowlvfyvlu
Distributed Optimization Algorithms for Wide-Area Oscillation Monitoring in Power Systems Using Interregional PMU-PDC Architectures
2015
IEEE Transactions on Smart Grid
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In this paper, we present a set of distributed algorithms for estimating the electro-mechanical oscillation modes of large power system networks using Synchrophasors. ...
Each architecture integrates a centralized Prony-based algorithm with several variants of Alternating Direction Method of Multipliers (ADMM). ...
For this purpose, we next describe how the commonly used Prony algorithm for modal estimation can be cast as a distributed optimization problem. ...
doi:10.1109/tsg.2015.2406578
fatcat:udw5gjb5vze5rdswldp4wgpwoy
An Augmented Prony Method for Power System Oscillation Analysis Using Synchrophasor Data
2019
Energies
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This paper proposes an augmented Prony method for power system oscillation analysis using synchrophasor data obtained from a wide-area measurement system (WAMS). ...
In the proposed method, in addition to the estimation of the modal information, IMFs are extracted using a new explicit mathematical formulation. ...
In this paper, we propose an augmented Prony based framework for real-time power system oscillation monitoring and analysis using synchrophasor data. ...
doi:10.3390/en12071267
fatcat:wmen4ji3pjevvknxist7jxvwy4
Data fusion-based distributed Prony analysis
2017
Electric power systems research
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Prony analysis for multiple channels which requires a bandwidth of 30 Hz. ...
Distributed optimization algorithms, e.g., alternating direction method of multipliers (ADMM), suitable for constrained optimization problems, have been proposed in the previous literature to develop distributed ...
To mitigate oscillations, oscillations should be identified and studied in a timely manner. There are two separate approaches to identify power system oscillations. ...
doi:10.1016/j.epsr.2016.10.052
fatcat:bf227euqhzheto2jviksxdhjn4
A Dynamic Mode Decomposition Framework for Global Power System Oscillation Analysis
2015
IEEE Transactions on Power Systems
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The technique is well suited for fast wide-area monitoring and assessment of global instability in the context of modern data fusion-based estimation techniques. ...
A global multiscale method based on a dynamic mode decomposition (DMD) algorithm to characterize the global behavior of transient processes recorded using wide-area sensors is proposed. ...
INTRODUCTION OWER system dynamic monitoring for a near real-time control has received increased importance in the past 5-10 years because of two primary reasons. ...
doi:10.1109/tpwrs.2014.2368078
fatcat:6gnm5bqjenb7jec5vsypyj6g3e
Online Low Frequency Oscillation Detection and Analysis System with an Ensemble Filter
[article]
2020
arXiv
pre-print
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A novel algorithm based on density-based spatial clustering of applications with noise (DBSCAN) is proposed to classify oscillation modes as well as to group their corresponding buses/monitoring sites. ...
This paper presents an online low-frequency oscillation detection and analysis (LFODA) system, which has the merit of significantly reducing the chance of false alarm via a voting schema and a time-serial ...
Such a design can provide system operators with effective real-time and historical information about grid oscillations, modal analysis, location of oscillation and others. ...
arXiv:1812.11266v4
fatcat:5awqobv4mbf5zowx2ljpr6nfee
Low Frequency Oscillation Mode Estimation Using Synchrophasor Data
2020
IEEE Access
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This paper proposed a spatiotemporal deep learning-based low frequency oscillation mode estimation method using synchrophasor data. ...
Deep learning techniques have been widely used for power system operations as a very hot topic in recent years. ...
[8] extended the Prony analysis for multiple LFEO signals to improve the accuracy of power system LFEO modal estimates. ...
doi:10.1109/access.2020.2982979
fatcat:qk67uqkl2rbx5cywetwujutsd4
Synchronized Measurements Processing Methodology as a Tool for Monitoring Power System Oscillations
2020
Tehnički Vjesnik
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The oscillatory phenomena of active power and frequency as a case study of one disturbance in the power system are analyzed. ...
Monitoring, protection and control of the electrical power system require the design and implementation of specific applications that are based on analytical methods for the processing of synchronized ...
PROPOSED METHODOLOGY FOR POWER SYSTEM OSCILLATION MONITORING 3.1 Mathematical Methods The described real-time monitoring applications for real-time monitoring with relevant input data and mathematical ...
doi:10.17559/tv-20191217235337
fatcat:yiixzwr72bgh5an7rptor6kbh4
Self-Correction Strategies for Frequency Domain Ringdown Analysis
2015
2015 48th Hawaii International Conference on System Sciences
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This paper introduces a set of self-correction strategies for improved oscillation modal analysis of ringdown responses from synchrophasors in frequency domain analysis. ...
It is shown that the modal estimates of frequency, damping ratio and mode shape using the improved frequency domain algorithms of the paper match well with other time-domain algorithms while preserving ...
Assuming linearity of power system responses, most of these algorithms provide excellent modal estimation results. ...
doi:10.1109/hicss.2015.324
dblp:conf/hicss/RezaeiZV15
fatcat:ylcycptqtbctxg2hadqsaqrssy
Stability of Power Grids: State-of-the-art and Future Trends
2019
EPJ Web of Conferences
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We discuss steady state stability in power systems, and using Prony's modal analysis for evaluating small signal stability for the 7 Bus Test system and real French power system. ...
Function; estimation of the ROA of IEEE 39-bus system using Gaussian process and Converse Lyapunov function. ...
systems based on spectral and structural analysis". ...
doi:10.1051/epjconf/201921701017
fatcat:dwtqr3lcabby3jecdvc2m3luay
Review on Oscillatory Stability in Power Grids with Renewable Energy Sources: Monitoring, Analysis, and Control using Synchrophasor Technology
2020
IEEE transactions on industrial electronics (1982. Print)
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Synchrophasor technology offers superior capability to measure and monitor power systems in real time, and power system operators require better understanding of how it can be used to effectively analyze ...
An updated classification is presented for power system oscillations with a special emphasis on oscillations induced from PEC-interfaced renewable energy generation. ...
A. Dynamic Event Detection These algorithms are designed for large streams of synchrophasor data for real-time detection of dynamic events in power networks [113] - [115] . ...
doi:10.1109/tie.2020.2965455
fatcat:elqzlzh2mbeujbsux7gmuexjui
A high-resolution spectral analysis algorithm for power-system disturbance monitoring
2002
IEEE Transactions on Power Systems
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In a previous paper, the author presented a Fourier-based algorithm for monitoring the characteristics of the damped oscillating "modes" which are set up after a disturbance in an electric power-distribution ...
A theoretical justification for the new method is presented, and simulations are provided to confirm the theory. The scheme is also tested on a real power-system example. ...
ACKNOWLEDGMENT Part of this work was performed at the School of Electrical and Computer Systems Engineering, RMIT University. ...
doi:10.1109/tpwrs.2002.800911
fatcat:qzbatvm4lzdithvwydj6peiuii
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