• 대한전기학회
Mobile QR Code QR CODE : The Transactions of the Korean Institute of Electrical Engineers
  • COPE
  • kcse
  • 한국과학기술단체총연합회
  • 한국학술지인용색인
  • Scopus
  • crossref
  • orcid

References

1 
A. Abur and A. Gomez-Exposito, Power System State Estimation: Theory and Implementation. New York, NY, USA: Marcel Dekker, 2004. DOI:10.1201/9780203913673DOI
2 
C. Jaewon, G. N. Taranto and J. H. Chow, “Dynamic State Estimation in Power System Using a Gain-scheduled Nonlinear Observer,” Proceedings. of International Conference on Control Applications, pp. 221-226, 1995. DOI:10.1109/CCA.1995.555706DOI
3 
W. Gao and S. Wang, “On-line Dynamic State Estimation of Power Systems,” North American Power Symposium 2010, pp. 1-6, 2010. DOI:10.1109/NAPS.2010.5619951DOI
4 
E. Farantatos, G. K. Stefopoulos, G. J. Cokkinides and A. P. Meliopoulos, “PMU-Based Dynamic State Estimation for Electric Power Systems,” 2009 IEEE PES General Meeting, pp. 1-8, 2009. DOI:10.1109/PES.2009.5275407DOI
5 
H. Tebianian and B. Jeyasurya, “Dynamic state estimation in power systems: Modeling and challenges,” Electric Power Systems Research, vol. 121, pp. 109-114, 2014. DOI:10.1016/j.epsr.2014.12.005DOI
6 
V. Terzija et al., “Wide-Area Monitoring, Protection, and Control of Future Electric Power Networks,” Proceedings of the IEEE, vol. 99, no. 1, pp. 80-93, 2011. DOI:10.1109/JPROC.2010.2060450DOI
7 
G. Cheng, Y. Lin, A. Abur, A. Gómez-Expósito and W. Wu, “A Survey of Power System State Estimation Using Multiple Data Sources: PMUs, SCADA, AMI, and Beyond,” IEEE Transactions on Smart Grid, vol. 15, no. 1, pp. 1129-1151, 2024. DOI:10.1109/TSG.2023.3286401DOI
8 
J. Zhao et al., “Roles of Dynamic State Estimation in Power System Modeling, Monitoring and Operation,” IEEE Transactions on Power Systems, vol. 36, no. 3, pp. 2462-2472, 2021. DOI:10.1109/TPWRS.2020.3028047DOI
9 
A. P. S. Meliopoulos et al., “Dynamic State Estimation-Based Protection: Status and Promise,” IEEE Transactions on Power Delivery, vol. 32, no. 1, pp. 320-330, 2017. DOI:10.1109/TPWRD.2016.2613411DOI
10 
Y. Chakhchoukh, H. Lei and B. K. Johnson, “Diagnosis of Outliers and Cyber Attacks in Dynamic PMU-Based Power State Estimation,” IEEE Transactions on Power Systems, vol. 35, no. 2, pp. 1188-1197, 2020. DOI:10.1109/TPWRS.2019.2939192DOI
11 
Yu Liu et al., “Dynamic State Estimation for Power System Control and Protection,” IEEE Transactions on Power Systems, vol. 36, no. 6, pp. 5909-5921, 2021. DOI:10.1109/TPWRS.2021.3079395DOI
12 
Junbo Zhao et al., “Power System Dynamic State Estimation: Motivations, Definitions, Methodologies, and Future Work,” IEEE Transactions on Power Systems, vol. 34, no. 4, pp. 3188-3198, 2019. DOI:10.1109/TPWRS.2019.2894769DOI
13 
E. Ghahremani and I. Kamwa, “Local and Wide-Area PMU-Based Decentralized Dynamic State Estimation in Multi-Machine Power Systems,” IEEE Transactions on Power Systems, vol. 31, no. 1, pp. 547-562, 2016. DOI:10.1109/TPWRS.2015.2400633DOI
14 
Shaobu Wang, Wenzhong Gao and A. P. Sakis Meliopoulos, “An Alternative Method for Power System Dynamic State Estimation Based on Unscented Transform,” IEEE Transactions on Power Systems, vol. 27, no. 2, pp. 942-950, 2012. DOI:10.1109/TPWRS.2011.2175255DOI
15 
Byoung-Ho Kim, Hongrae Kim, “PMU Optimal Placement Algorithm Using Topological Observability Analysis,” Journal of Electrical Engineering & Technology, vol. 16, pp. 2909~2916, 2021. DOI:10.1007/s42835-021-00822-5DOI
16 
I. Arasaratnam and S. Haykin, “Cubature Kalman Filters,” IEEE Transactions on Automatic Control, vol. 54, no. 6, pp. 1254-1269, 2009. DOI:10.1109/TAC.2009.2019800DOI
17 
S. J. Julier and J. K. Uhlmann, “New Extension of the Kalman Filter to Nonlinear Systems,” Proceedings of Signal Processing, Sensor Fusion, and Target Recognition VI, vol. 3068, pp. 182-193, 1997. DOI:10.1117/12.280797DOI
18 
E. Ghahremani and I. Kamwa, “Local and Wide-Area PMU-Based Decentralized Dynamic State Estimation in Multi-Machine Power Systems,” IEEE Transactions on Power Systems, vol. 31, no. 1, pp. 547-562, 2016. DOI:10.1109/TPWRS.2015.2400633DOI
19 
E. Ghahremani and I. Kamwa, “Online State Estimation of a Synchronous Generator Using Unscented Kalman Filter from Phasor Measurements Units,” IEEE Transactions on Energy Conversion, vol. 26, no. 4, pp. 1099-1108, 2011. DOI:10.1109/TEC.2011.2168225DOI
20 
IEEE Standard for Synchrophasor Measurements for Power Systems, IEEE Standard C37.118.1-2011, Dec. 2011. [Online]. Available: https://ieeexplore.ieee.org/document/6111219 DOI:10.1109/IEEESTD.2011.6111219DOI
21 
Illinois Center for a Smarter Electric Grid. “WSCC 9-Bus System.” llinois.edu. Accessed May. 5, 2025. [Online.] Available: https://icseg.iti.illinois.edu/wscc-9-bus-system/URL
22 
Illinois Center for a Smarter Electric Grid. “IEEE 39-Bus System,” llinois.edu. Accessed May. 5, 2025. [Online.] Available: https://icseg.iti.illinois.edu/ieee-39-bus-system/URL