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Multi‐Agent Method Based H∞ Supplementary Turbine/Governor Control to Enhance Power System Stability
Author(s) -
Meng Qingwei,
Xiao Yao,
Zhang Susu,
Zhang Lixia
Publication year - 2020
Publication title -
ieej transactions on electrical and electronic engineering
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.254
H-Index - 30
eISSN - 1931-4981
pISSN - 1931-4973
DOI - 10.1002/tee.23034
Subject(s) - governor , control theory (sociology) , controller (irrigation) , electric power system , control engineering , turbine , power (physics) , lyapunov function , lyapunov stability , stability (learning theory) , computer science , engineering , control (management) , nonlinear system , mechanical engineering , agronomy , physics , quantum mechanics , artificial intelligence , machine learning , biology , aerospace engineering
The stability of a power system has always been of concern. Now, wide‐area measurement systems are used widely. In this paper, we focus on supplementary turbine/governor control to enhance the stability of a power system with wide‐area measurement information. An H∞ supplementary turbine/governor controller based on the multi‐agent method is introduced to enhance power system stability. First, the synchronous generator is modeled as a second‐order agent. The information of communication topology and power network topology are used to build the system model and the controller design. Then, a linear output feedback controller is adopted. With a suitable Lyapunov function and by solving the linear matrix inequality, the parameters of the controller are tuned by the H∞ synthesis method. Finally, numerical simulations are presented on a Western Systems Coordinating Council three‐generator nine‐bus power system, validating the proposed design. © 2019 Institute of Electrical Engineers of Japan. Published by John Wiley & Sons, Inc.