Open AccessClassification and regression tree‐based adaptive damping control of inter‐area oscillations using wide‐area signals
Author(s) -
Ma Jing,
Wang Tong,
Gao Xiang,
Wang Shangxing,
Wang Zengping
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.2013.0506
Subject(s) - control theory (sociology) , operating point , controller (irrigation) , phasor measurement unit , phasor , electric power system , computer science , compensation (psychology) , power (physics) , engineering , electronic engineering , control (management) , artificial intelligence , biology , psychology , agronomy , physics , quantum mechanics , psychoanalysis
An adaptive damping control scheme based on the classification and regression tree (CART) using wide‐area signals is proposed. A family of robust multiple‐input multiple‐output controllers are designed offline and used in real‐time after the current operating point is retrieved from phasor measurement unit (PMU) data with CART interpolation. When the power system is operating close to a previously set operating point, only the corresponding controller is active. When the power system is not close to any previously set operating point, a combined controller is formed. A 16‐machine 68‐bus system is used for simulation test. Thyristor controlled series compensation, static var compensator and energy storage device are used as actuators and the remote PMUs frequencies are employed as added inputs in the example control. Simulation results demonstrate good damping performance of the proposed control method against a wide range of changes in operating state.