Open AccessClassification and regression tree‐based adaptive damping control of inter‐area oscillations using wide‐area signals
Author(s) -
Wang Tong,
Wang Zengping,
Liu Jizhen,
Thorp James S.,
Yang Yuan
Publication year - 2014
Publication title -
iet generation, transmission and distribution
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.92
H-Index - 110
eISSN - 1751-8695
pISSN - 1751-8687
DOI - 10.1049/iet-gtd.2013.0601
Subject(s) - control theory (sociology) , operating point , electric power system , phasor measurement unit , robustness (evolution) , phasor , computer science , controller (irrigation) , engineering , control engineering , power (physics) , electronic engineering , control (management) , agronomy , artificial intelligence , biochemistry , physics , chemistry , quantum mechanics , biology , gene
An adaptive damping control scheme based on classification and regression tree (CART) using wide‐area signals is proposed in this study. A family of robust controllers is designed off‐line and are used in real‐time after the corresponding operating point is retrieved from phasor measurement unit (PMU) data with CART interpolation. When the power system is operating precisely at a pre‐selected operating point, only the corresponding controller is active. When the power system is not exactly at the operating point, a combined controller is formed for damping. A 68‐bus, 16‐generator system is used as a test system. A thyristor‐controlled series capacitor, a static var compensator and an energy storage device are used as actuators, and remote PMUs frequencies as added inputs are employed as the example control. The simulation results demonstrate the effectiveness and robustness against the wider range of operating changes even without knowing precisely the model of disturbances that occurred in the dynamic system.