Dynamic State Estimation for Power System Control and Protection IEEE Task Force on Power System Dynamic State and Parameter Estimation

Liu, Yu; Singh, Abhinav Kumar; Zhao, Junbo; Meliopoulos, A. P. Sakis; Pal, Bikash; Ariff, Mohd Aifaa Bin Mohd; Van Cutsem, Thierry; Glavic, Mevludin; Huang, Zhenyu; Kamwa, Innocent; Mili, Lamine; Mir, Abdul Saleem; Taha, Ahmad; Terzija, Vladimir; Yu, Shenglong

doi:10.1109/TPWRS.2021.3079395

Article (Scientific journals)

Dynamic State Estimation for Power System Control and Protection IEEE Task Force on Power System Dynamic State and Parameter Estimation

Liu, Yu; Singh, Abhinav Kumar; Zhao, Junbo et al.

2021 • In IEEE Transactions on Power Systems, 36 (6), p. 5909 - 5921

Peer Reviewed verified by ORBi

Permalink
https://hdl.handle.net/2268/295560

DOI
10.1109/TPWRS.2021.3079395

Files (1)Send to Details Statistics Bibliography Similar publications

Files

Full Text

Paper2_TF_DSE_Control_and_Protection_Applications_TPWRS_Final.pdf

Author postprint (1.12 MB)

Download

All documents in ORBi are protected by a user license.

Send to

RIS BibTex APA Chicago Permalink X Linkedin

Details

Keywords :

control; converter-based resources; Dynamic state estimation; Kalman filter; parameter estimation; protection; sampled value measurements; stability; synchronous generation; synchrophasor measurements; Comprehensive comparisons; Control and protection; Power system controls; Protection and security; Real time; Sampled values; System state; Energy Engineering and Power Technology; Electrical and Electronic Engineering

Abstract :

[en] Dynamic state estimation (DSE) accurately tracks the dynamics of a power system and provides the evolution of the system state in real-time. This paper focuses on the control and protection applications of DSE, comprehensively presenting different facets of control and protection challenges arising in modern power systems. It is demonstrated how these challenges are effectively addressed with DSE-enabled solutions. As precursors to these solutions, reformulation of DSE considering both synchrophasor and sampled value measurements and comprehensive comparisons of DSE and observers have been presented. The usefulness and necessity of DSE based solutions in ensuring system stability, reliable protection and security, and resilience by revamping of control and protection methods are shown through examples, practical applications, and suggestions for further development.

Disciplines :

Electrical & electronics engineering

Author, co-author :

Liu, Yu ; ShanghaiTech University, Shanghai, China

Singh, Abhinav Kumar ; University of Southampton, Southampton, United Kingdom

Zhao, Junbo ; Department of Electrical and Computer Engineering, Mississippi State University, Starkville, United States

Meliopoulos, A. P. Sakis ; School of Electrical and Computer Engineering, Georgia Institute of Technology, Atlanta, United States

Pal, Bikash ; Department of Electrical and Electronic Engineering, Imperial College London, London, United Kingdom

Ariff, Mohd Aifaa Bin Mohd ; Electrical and Electronic Engineering, Universiti Tun Hussein Onn Malaysia (UTHM), Batu Pahat, Malaysia

Van Cutsem, Thierry ; Université de Liège - ULiège > Département d'électricité, électronique et informatique (Institut Montefiore) > Systèmes et modélisation

Glavic, Mevludin ; Department of Electrical Engineering and Computer Science, University of Liege, Liege, Belgium

Huang, Zhenyu ; Pacific Northwest National Laboratory, Richland, United States

Kamwa, Innocent ; Laval University, Quebec, Canada

More authors (5 more)

Language :

English

Title :

Dynamic State Estimation for Power System Control and Protection IEEE Task Force on Power System Dynamic State and Parameter Estimation

Publication date :

November 2021

Journal title :

IEEE Transactions on Power Systems

ISSN :

0885-8950

Publisher :

Institute of Electrical and Electronics Engineers Inc.

Volume :

Issue :

Pages :

5909 - 5921

Peer reviewed :

Peer Reviewed verified by ORBi

Additional URL :

http://xplorestaging.ieee.org/ielx7/59/9580179/09429932.pdf?arnumber=9429932

Funders :

F.R.S.-FNRS - Fonds de la Recherche Scientifique

Available on ORBi :

since 10 October 2022

Statistics

Number of views

72 (2 by ULiège)

Number of downloads

50 (0 by ULiège)

More statistics

Scopus citations^®

111

Scopus citations^®
without self-citations

OpenCitations

OpenAlex citations

109

Bibliography

J. Zhao et al., "Power system dynamic state estimation: Motivations, definitions, methodologies, and future work," IEEE Trans. Power Syst., vol. 34, no. 4, pp. 3188-3198, Jul. 2019.
J. Zhao et al., "Roles of dynamic state estimation in power system modeling, monitoring and operation," IEEE Trans. Power Syst., vol. 36, no. 3, pp. 2462-2472, May 2021.
N. Hatziargyriou et al., "Definition and classification of power system stability revisited &extended," IEEE Trans. Power Syst., to be published, doi: 10.1109/TPWRS.2020.3041774.
V. Telukunta, J. Pradhan, A. Agrawal, M. Singh, and S. G. Srivani, "Protection challenges under bulk penetration of renewable energy resources in power systems: A review," CSEE J. Power Energy Syst., vol. 3, no. 4, pp. 365-379, Dec. 2017.
Protection System Misoperation Task Force, "Misoperations report," in NERC Planning Committee, Atlanta, GA, USA, North American Electric Reliability Corporation (NERC), 2014.
Stability definitions and characterization of dynamic behavior in systems with high penetration of power electronic interfaced technologies," IEEE Technical Report, IEEE Power and Energy Society, Power System Dynamic Performance Committee, 2020.
IEC Std 61850, "Communication networks and systems in substations," 2003.
A. P. Meliopoulos et al., "Dynamic state estimation-based protection: Status and promise," IEEE Trans. Power Del., vol. 32, no. 1, pp. 320-330, Feb. 2017.
1,200 MW fault induced solar photovoltaic resource interruption disturbance report: Southern california 8/16/2016 event," in NERC,Atlanta, GA, Jun. 2017.
Z. Huang, H. Krishnaswami, G. Yuan, and R. Huang, "Ubiquitous power electronics in future power systems," IEEE Electrific. Magzine, vol. 8, no. 3, pp. 18-27, Sep. 2020.
V.Venkatasubramanian,H. Schattler, and J. Zaborszky, "Fast time-varying phasor analysis in the balanced three-phase large electric power system," IEEE Trans. Autom. Control, vol. 40, no. 11, pp. 1975-1982, Nov. 1995.
S. R. Sanders, J.M. Noworolski, X. Z. Liu, and G. C. Verghese, "Generalized averaging method for power conversion circuits," IEEE Trans. Power Elec., vol. 6, no. 3, pp. 251-259, Apr. 1991.
H. K. Khalil, Nonlinear Systems, 3rd ed., Hoboken, NJ: Prentice-Hall, 2002.
M. Korda, and I. Mezíc, "Linear predictors for nonlinear dynamical systems: Koopman operator meets model predictive control," Automatica, vol. 93, pp. 149-160, Jul. 2018.
M. Nicolai, L. Lorenz-Meyer, A. Bobtsov, R. Ortega, N. Nikolaev, and J. Chiffer, "PMU-based decentralized mixed algebraic and dynamic state observation in multi-machine power systems," IET Gener. Transm. Distrib., accepted.
J. B. Zhao, and L. Mili, "A robust generalized-maximum likelihood unscented kalman filter for power system dynamic state estimation," IEEE J. Sel. Topics Signal Process., vol. 12, no. 4, pp. 578-592, Aug. 2018.
J. Qi, A. F. Taha, and J. Wang, "Comparing kalman filters and observers for power system dynamic state estimation with model uncertainty and malicious cyber-attacks," IEEE Access, vol. 6, pp. 77155-77168, 2018.
S. Nugroho, A. F. Taha, and J. Qi, "Robust dynamic state estimation of synchronous machines with asymptotic state estimation error performance guarantees," IEEE Trans. Power Syst., vol. 35, no. 3, pp. 1923-1935, May 2020.
S. Stefani, and H. Savant, Design of Feedback Systems, New York, NY, USA: Oxford Univ. Press, 2002.
J. A. de la O Serna, "Dynamic phasor estimates for power system oscillations," IEEE Trans. Instrum. Meas., vol. 56, no. 5, pp. 1648-1657, Oct. 2007.
A. F. Taha, M. Bazrafshan, S. A. Nugroho, N. Gatsis, and J. Qi, "Robust control for renewable-integrated power networks considering input bound constraints andworst-case uncertainty measure," IEEE Trans.Contr. Netw. Syst., vol. 6, no. 3, pp. 1210-1222, Sep. 2019.
A. K. Singh, R. Singh, and B. C. Pal, "Stability analysis of networked control in smart grids," IEEE Trans. Smart Grid, vol. 6, no. 1, pp. 381-390, Jan. 2015.
A. M. Ersdal, L. Imsland, and K. Uhlen, "Model predictive load frequency control," IEEE Trans. Power Syst., vol. 31, no. 1, pp. 777-785, Jan. 2016.
A. Paul, I. Kamwa, and G. Jóos, "Centralized dynamic state estimation using a federation of extended Kalman filters with intermittent PMU data from generator terminals," IEEE Trans. Power Syst., vol. 33, no. 6, pp. 6109-6119, Nov. 2018.
E. Ghahremani, and I. Kamwa, "Local and wide-area PMU-based decentralized DSE in multi-machine power systems," IEEE Trans. Power Syst., vol. 31, no. 1, pp. 547-562, Jan. 2016.
W. Yao, L. Jiang, J. Wen, Q. H. Wu, and S. Cheng, "Wide-area damping controller of FACTS devices for inter-area oscillations considering communication time delays," IEEE Trans. Power Syst., vol. 29, no. 1, pp. 318-329, Jan. 2014.
A. Paul, I. Kamwa, and G. Joos, "PMU signals responses-based RAS for instability mitigation through on\-The fly identification and shedding of the run-away generators," IEEE Trans. Power Syst., vol. 35, no. 3, pp. 1707-1717, May 2020.
A. K. Singh, and B. C. Pal, "Decentralized control of oscillatory dynamics in power systems using an extended LQR," IEEE Trans. Power Syst., vol. 31, no. 3, pp. 1715-1728, May 2016.
M. A. Pai, and P. W. Sauer, Power System Dynamics and Stability, NJ, USA: Prentice Hall, 1998.
A. K. Singh, and B. C. Pal, "Decentralized nonlinear control for power systems using normal forms and detailed models," IEEE Trans. Power Syst., vol. 33, no. 2, pp. 1160-1172, Mar. 2018.
S. Liu, X. Li, and D. Chen, "Wide-area-signals-based nonlinear excitation control in multi-machine power systems," IEEJ Trans. Elec. Electron. Eng., vol. 14, pp. 366-375, 2019.
H. Liu, J. Su, J. Qi, N.Wang, and C. Li, "Decentralized voltage and power control ofmulti-machine power systems with global asymptotic stability," IEEE Access, vol. 7, pp. 14273-14282, 2019.
A. S. Mir, S. Bhasin, and N. Senroy, "Decentralized nonlinear adaptive optimal control scheme for enhancement of power system stability," IEEE Trans. Power. Syst, vol. 35, no. 2, pp. 1400-1410, Mar. 2020.
A. K. Singh, and B. C. Pal, "Rate of change of frequency estimation for power systems using interpolated DFT and Kalman filter," IEEE Trans. Power Syst., vol. 34, no. 4, pp. 2509-2517, Jul. 2019.
H. Bevrani, Robust Power System Frequency Control. New York, NY, USA: Springer, 2009.
P. Bhui, N. Senroy, A. K. Singh, and B. C. Pal, "Estimation of inherent governor dead-band and regulation using unscented Kalman filter," IEEE Trans. Power Syst., vol. 33, no. 4, pp. 3546-3558, Jul. 2018.
C. Nichita, D. Luca, B. Dakyo, and E. Ceanga, "Large band simulation of the wind speed for real time wind turbine simulators," IEEE Trans. Energy Convers., vol. 17, no. 4, pp. 523-529, Dec. 2002.
A. S. Mir, and N. Senroy, "Self-tuning neural predictive control scheme for ultra-battery to emulate a virtual synchronous machine in autonomous power systems," IEEE Trans. Neural Netw. Learn. Syst., vol. 31, no. 1, pp. 136-147, Jan. 2020.
K. Emami, T. Fernando, H. H. Iu, B. D. Nener, and K. P. Wong, "Application of unscented transform in frequency control of a complex power system using noisy PMU data" IEEE Trans. Ind. Informat., vol. 12, no. 2, pp. 853-863, Apr. 2016.
H. Trinh, T. Fernando, H. H. C. Iu, and K. P. Wong, "Quasi-decentralized functional observers for the LFC of interconnected power systems," IEEE Trans. Power Syst., vol. 28, no. 3, pp. 3513-3514, Aug. 2013.
H. Bevrani, P. R. Daneshmand, P. Babahajyani, Y. Mitani, and T. Hiyama, "Intelligent LFC concerning high penetration of wind power: Synthesis and real-time application," IEEE Trans. Sustain. Energy, vol. 5, no. 2, pp. 655-662, Apr. 2014.
X. Yang, H. He, and X. Zhong, "Adaptive dynamic programming for robust regulation and its application to power systems," IEEE Trans. Ind. Electron., vol. 65, no. 7, pp. 5722-5732, Jul. 2018.
M. Glavic, and T. Van Cutsem, "Wide-area detection on voltage instability from synchronized phasor measurements. Part I: Principle," IEEE Trans. Power Syst., vol. 24, no. 3, pp. 1408-1416, Aug. 2009.
B. A. Alcaide-Moreno, C. R. Fuerte-Esquivel, M. Glavic, and T. Van Cutsem, "Electric power network state tracking from multirate measurements," IEEE Trans. Instrum. Meas., vol. 67, no. 1, pp. 33-44, Jan. 2018.
G. K. Morison, B. Gao, and P. Kundur, "Voltage stability analysis using static and dynamic approaches," IEEE Trans. Power Syst., vol. 8, no. 3, pp. 1159-1171, Aug. 1993.
M. Glavic, and T. Van Cutsem, "Some reflections on model predictive control of transmission voltages," in Proc. 38th North Amer. Power Symp., Carbondale, IL, USA, 2006, pp. 1-8.
B. Otomega, M. Glavic, and T. Van Cutsem, "A two-level emergency control scheme against power system voltage instability," Control Eng. Pract., vol. 30, pp. 93-104, 2014.
S.Yu, T. Fernando, K. Emami, andH. H.-C. Iu, "Dynamic state estimationbased control strategy for DFIG wind turbine connected to complex power systems," IEEE Trans. Power Syst., vol. 32, no. 2, pp. 1272-1281, Mar. 2017.
A. S. Mir, and N. Senroy, "DFIG damping controller design using robust CKFbased adaptive dynamic programming," IEEE Trans. Sustain.Energy, vol. 11, no. 2, pp. 839-850, Apr. 2020.
S. Yu, G. Zhang, T. Fernando, and H. H.-C. Iu, "A DSE-based SMC method of sensorless DFIG wind turbines connected to power grids for energy extraction and power quality enhancement," IEEE Access, no. 6, pp. 76596-76605, 2018.
S. Yu, L. Zhang, H. H. Lu, T. Fernando, and K. P. Wong, "A DSE-based power system frequency restoration strategy for PV-integrated power systems considering solar irradiance variations," IEEE Trans. Ind. Inform., vol. 13, no. 5, pp. 2511-2518, Oct. 2017.
Wind energy systems subsynchronous oscillations: Events and modeling," IEEE PES Wind SSO Taskforce, Technical Report, PES-TR80, 2020.
A. P. Meliopoulos,V.Vittal, M. Saeedifard, and R.Data, "Stability, protection and control of systems with high penetration of converter interfaced generation," PSERC Publication pp. 16-03, Mar. 2016.
Y. Liu, A. P. Meliopoulos, L. Sun, and S. Choi, "Protection and control of microgrids using dynamic state estimation," Protection Control Modern Power Syst, vol. 3, no. 31, pp. 1-13, Oct. 2018.
R. Grondin et al.et al., "Loss of synchronism detection a strategic function for power system protection," in Proc. CIGRE Session, 2006, vol. 41, pp. B5-205.
North American Electric Reliability Corporation, "State of reliability 2016," May 2016.
E. Farantatos, R. Huang, G. J. Cokkinides, and A. P. Meliopoulos, "A predictive generator out-of-step protection and transient stability monitoring scheme enabled by a distributed dynamic state estimator," IEEE Trans. Power Del., vol. 31, no. 4, pp. 1826-1835, Aug. 2016.
Y. Cui, R. G. Kavasseri, and S. M. Brahma, "Dynamic state estimation assisted out-of-step detection for generators using angular difference," IEEE Trans. Power Del., vol. 32, no. 3, pp. 1441-1449, Jun. 2017.
M. A. M. Ariff, B. C. Pal, and A. K. Singh, "Estimating dynamic model parameters for adaptive protection and control in power system," IEEE Trans. Power Syst., vol. 30, no. 2, pp. 829-839, Mar. 2015.
M. A. M. Ariff, and B. C. Pal, "Adaptive protection and control in the power system forwide-area blackout prevention," IEEE Trans. Power Del., vol. 31, no. 4, pp. 1815-1825, Aug. 2016.
Y. Liu, A. P. Meliopoulos, R. Fan, L. Sun, and Z. Tan, "Dynamic state estimation based protection on series compensated transmission lines," IEEE Trans. Power Del., vol. 32, no. 5, pp. 2199-2209, Oct. 2017.
Y. Liu, A. P. Meliopoulos, L. Sun, and R. Fan, "Dynamic state estimation based protection on mutually coupled transmission lines," CSEE J. Power Energy Syst, vol. 2, no. 4, pp. 6-14, Dec. 2016.
R. Fan, Y. Liu, A. P. Meliopoulos, L. Sun, Z. Tan, and R. Huang, "Comparison of transformer legacy protective functions and a dynamic state estimation-based approach," Electric Power Syst. Res., vol. 184, Jul. 2020, Art. no. 106301.
V. Terzija, G. Preston, V. Stanojevíc, N. I. Elkalashy, and M. Popov, "Synchronized measurements-based algorithm for short transmission line fault analysis," IEEE Trans Smart Grid, vol. 6, no. 17, pp. 2639-2648, Nov. 2015.
Y. Liu, A. P. Meliopoulos, Z. Tan, L. Sun, and R. Fan, "Dynamic state estimation-based fault locating on transmission lines," IETGener. Transm. Distrib., vol. 11, no. 17, pp. 4184-4192, Nov. 2017.
R. Fan, Y. Liu, R. Huang, R. Diao, and S. Wang, "Precise fault location on transmission lines using ensemble kalman filter," IEEE Trans. Power Del., vol. 33, no. 6, pp. 3252-3255, Dec. 2018.
B. Wang, Y. Liu, D. Lu, K. Yue, and R. Fan, "Transmission line fault location in MMC-HVDC grids based on dynamic state estimation and gradient descent," IEEE Trans. Power Del., to be published, doi: 10.1109/TPWRD. 2020.3013755.
M. B. Djuric, Z. M. Radojevic, and V. V. Terzija. "Time domain solution of fault distance estimation and arcing faults detection on overhead lines," IEEE Trans. Power Del., vol. 14, no. 1, pp. 60-67, Feb. 1999.
H. F. Albinali, andA. P.Meliopoulos, "Resilient protection system through centralized substation protection," IEEE Trans. Power Del., vol. 33, no. 3, pp. 1418-1427, Jun. 2018.
A. P. Deshpande, S. C. Patwardhan, and S. S. Narasimhan, "Intelligent state estimation for fault tolerant nonlinear predictive control," J. Process Control, vol. 19, pp. 187-204, 2009.