Our papers on grid-forming frequency shaping control [1] and on reduced order model for coherent generators [2] have been accepted to the IEEE Control Systems Letters (L-CSS)!
[Bibtex] [Abstract] [Download PDF]
As power systems transit to a state of high renewable penetration, little or no presence of synchronous generators makes the prerequisite of well-regulated frequency for grid-following inverters unrealistic. Thus, there is a trend to resort to grid-forming inverters which set frequency directly. We propose a novel grid-forming frequency shaping control that is able to shape the aggregate system frequency dynamics into a first-order one with the desired steady-state frequency deviation and Rate of Change of Frequency (RoCoF) after a sudden power imbalance. The no overshoot property resulting from the first-order dynamics allows the system frequency to monoton- ically move towards its new steady-state without experiencing frequency Nadir, which largely improves frequency security. We prove that our grid-forming frequency-shaping control renders the system internally stable under mild assumptions. The performance of the proposed control is verified via numerical simulations on a modified Icelandic Power Network test case.
@article{jbvm2021lcss,
abstract = {As power systems transit to a state of high renewable penetration, little or no presence of synchronous generators makes the prerequisite of well-regulated frequency for grid-following inverters unrealistic. Thus, there is a trend to resort to grid-forming inverters which set frequency directly. We propose a novel grid-forming frequency shaping control that is able to shape the aggregate system frequency dynamics into a first-order one with the desired steady-state frequency deviation and Rate of Change of Frequency (RoCoF) after a sudden power imbalance. The no overshoot property resulting from the first-order dynamics allows the system frequency to monoton- ically move towards its new steady-state without experiencing frequency Nadir, which largely improves frequency security. We prove that our grid-forming frequency-shaping control renders the system internally stable under mild assumptions. The performance of the proposed control is verified via numerical simulations on a modified Icelandic Power Network test case.},
author = {Jiang, Yan and Bernstein, Andrey and Vorobev, Petr and Mallada, Enrique},
bdsk-url-3 = {https://doi.org/10.1109/LCSYS.2020.3044551},
doi = {10.1109/LCSYS.2020.3044551},
grants = {CAREER-1752362, AMPS-1736448, TRIPODS-1934979, EPCN-1711188, CPS-2136324},
journal = {IEEE Control Systems Letters (L-CSS)},
month = {12},
note = {also in ACC 2021},
number = {6},
pages = {1988-1993},
record = {early access Dec 2020, accepted Nov 2020, revised Nov 2020, submitted Sep 2020},
title = {Grid-forming frequency shaping control in low inertia power systems},
url = {https://mallada.ece.jhu.edu/pubs/2021-LCSS-JBVM.pdf},
volume = {5},
year = {2021}
}
[Bibtex] [Abstract] [Download PDF]
We introduce a novel framework to approximate the aggregate frequency dynamics of coherent synchronous generators. By leveraging recent results on dynamics concentration of tightly connected networks, we develop a hierarchy of reduced order models –based on frequency weighted balanced truncation– that accurately approximate the aggregate system response. Our results outperform existing aggregation techniques and can be shown to monotonically improve the approximation as the hierarchy order increases.
@article{mpm2021lcss,
abstract = {We introduce a novel framework to approximate the aggregate frequency dynamics of coherent synchronous generators. By leveraging recent results on dynamics concentration of tightly connected networks, we develop a hierarchy of reduced order models --based on frequency weighted balanced truncation-- that accurately approximate the aggregate system response. Our results outperform existing aggregation techniques and can be shown to monotonically improve the approximation as the hierarchy order increases.},
author = {Min, Hancheng and Paganini, Fernando and Mallada, Enrique},
bdsk-url-3 = {https://doi.org/10.1109/LCSYS.2020.3043733},
doi = {10.1109/LCSYS.2020.3043733},
grants = {CAREER-1752362, CPS-1544771, ENERGISE-DE-EE0008006, AMPS-1736448, TRIPODS-1934979, EPCN-1711188, ARO-W911NF-17-1-0092},
journal = {IEEE Control Systems Letters (L-CSS)},
month = {11},
note = {also in ACC 2021},
number = {5},
pages = {1741-1746},
record = {early accesss Nov 2020, accepted Nov 2020, revised Nov 2020, submitted Sep 2020},
title = {Accurate Reduced Order Models for Coherent Heterogeneous Generators},
url = {https://mallada.ece.jhu.edu/pubs/2021-LCSS-MPM.pdf},
volume = {5},
year = {2021}
}