TY - JOUR
T1 - Distributed Robust Adaptive Frequency Control of Power Systems with Dynamic Loads
AU - Kim, Hunmin
AU - Zhu, Minghui
AU - Lian, Jianming
N1 - Funding Information:
Manuscript received November 15, 2017; revised September 15, 2018 and May 5, 2019; accepted December 10, 2019. Date of publication December 25, 2019; date of current version October 21, 2020. This work was supported in part by the technical area of Sensing and Measurements within Grid Modernization Initiative funded by the U.S. DOE. Recommended by Associate Editor U. V. Shanbhag. (Corresponding author: Jianming Lian.) H. Kim is with the Department of Mechanical Science and Engineering, University of Illinois at Urbana-Champaign, Urbana, IL 61801 USA (e-mail: [email protected]).
Publisher Copyright:
© 2019 IEEE.
PY - 2020/11
Y1 - 2020/11
N2 - This article investigates the frequency control of multimachine power systems subject to uncertain and dynamic net loads. We propose distributed internal model controllers that coordinate synchronous generators and demand response to tackle the unpredictable nature of net loads. Frequency stability is formally guaranteed via Lyapunov analysis. Numerical simulations on the IEEE 68-bus test system demonstrate the effectiveness of the controllers.
AB - This article investigates the frequency control of multimachine power systems subject to uncertain and dynamic net loads. We propose distributed internal model controllers that coordinate synchronous generators and demand response to tackle the unpredictable nature of net loads. Frequency stability is formally guaranteed via Lyapunov analysis. Numerical simulations on the IEEE 68-bus test system demonstrate the effectiveness of the controllers.
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U2 - 10.1109/TAC.2019.2962356
DO - 10.1109/TAC.2019.2962356
M3 - Article
AN - SCOPUS:85077254841
SN - 0018-9286
VL - 65
SP - 4887
EP - 4894
JO - IEEE Transactions on Automatic Control
JF - IEEE Transactions on Automatic Control
IS - 11
M1 - 8943305
ER -