TY - GEN
T1 - Two stability theorems concerning power networks
AU - Weiss, George
AU - Dorfler, Florian
AU - Levron, Yoash
N1 - Publisher Copyright:
© 2019 IEEE.
PY - 2019/11
Y1 - 2019/11
N2 - We explain two recent mathematical stability results that are relevant fory models of power systems. The first (due to V. Natarajan and G. Weiss, 2018) concerns a 4th order model of a synchronous generator with constant field current, connected to an infinite bus. The result is that under certain verifiable conditions on the parameters of the model, the system is almost globally asymptotically stable. We indicate how this result is useful in tuning the parameters of inverters working as virtual synchronous machines. The second result (first version due to F. Dörfler and F. Bullo, 2012) concerns a network of several synchronous generators modelled as second order systems, with a quasi-static model for the interconnection network. The result is that under certain conditions, the state trajectory of a power network is close to the trajectory of the corresponding Kuramoto model (that is obtained by setting the inertias of the generators to zero), if both start from the same initial angles. The Kuramoto model is exponentially stable, so that this gives us useful indications on the behavior of the power network. Based on our recent paper (to appear in SCL, with proofs) we explain how the second result can be generalized and strengthened in several aspects, and we also point out some lack of precision in the original formulation of the result. We briefly indicate how this result can be useful for analyzing the stability of microgrids containing inverters.
AB - We explain two recent mathematical stability results that are relevant fory models of power systems. The first (due to V. Natarajan and G. Weiss, 2018) concerns a 4th order model of a synchronous generator with constant field current, connected to an infinite bus. The result is that under certain verifiable conditions on the parameters of the model, the system is almost globally asymptotically stable. We indicate how this result is useful in tuning the parameters of inverters working as virtual synchronous machines. The second result (first version due to F. Dörfler and F. Bullo, 2012) concerns a network of several synchronous generators modelled as second order systems, with a quasi-static model for the interconnection network. The result is that under certain conditions, the state trajectory of a power network is close to the trajectory of the corresponding Kuramoto model (that is obtained by setting the inertias of the generators to zero), if both start from the same initial angles. The Kuramoto model is exponentially stable, so that this gives us useful indications on the behavior of the power network. Based on our recent paper (to appear in SCL, with proofs) we explain how the second result can be generalized and strengthened in several aspects, and we also point out some lack of precision in the original formulation of the result. We briefly indicate how this result can be useful for analyzing the stability of microgrids containing inverters.
UR - http://www.scopus.com/inward/record.url?scp=85086631223&partnerID=8YFLogxK
U2 - 10.1109/CINTI-MACRo49179.2019.9105185
DO - 10.1109/CINTI-MACRo49179.2019.9105185
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AN - SCOPUS:85086631223
T3 - IEEE Joint 19th International Symposium on Computational Intelligence and Informatics and 7th International Conference on Recent Achievements in Mechatronics, Automation, Computer Sciences and Robotics, CINTI-MACRo 2019 - Proceedings
SP - 15
EP - 20
BT - IEEE Joint 19th International Symposium on Computational Intelligence and Informatics and 7th International Conference on Recent Achievements in Mechatronics, Automation, Computer Sciences and Robotics, CINTI-MACRo 2019 - Proceedings
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 19th IEEE Joint International Symposium on Computational Intelligence and Informatics and 7th International Conference on Recent Achievements in Mechatronics, Automation, Computer Sciences and Robotics, CINTI-MACRo 2019 - Proceedings
Y2 - 14 November 2019 through 16 November 2019
ER -