Classification and regression tree‐based adaptive damping control of inter‐area oscillations using wide‐area signals. Issue 6 (1st June 2014)

• Record Type: Journal Article
• Authors: Ma, Jing; Wang, Tong; Gao, Xiang; Wang, Shangxing; Wang, Zengping
• Is Part Of: IET generation, transmission & distribution. Volume 8:Issue 6(2014)
• Page Start: 1177
• Page End: 1186
• Publication Date: 2014-06-01
• Subjects: adaptive control -- control system synthesis -- damping -- electric actuators -- energy storage -- interpolation -- MIMO systems -- power system control -- regression analysis -- robust control -- static VAr compensators -- thyristor applications -- phasor measurement; interarea oscillation -- wide‐area signal -- adaptive damping control scheme -- classification and regression tree interpolation -- robust multiple‐input multiple‐output controller design -- phasor measurement unit -- CART interpolation -- power system -- 16‐machine 68‐bus system -- thyristor controlled series compensation -- static VAr compensator -- energy storage device -- actuator -- remote PMU; Electric power production -- Periodicals; Electric power transmission -- Periodicals; Electric power distribution -- Periodicals; 621.3105
• DOI: 10.1049/iet-gtd.2013.0506
• Languages: English
• ISSNs: 1751-8687

Abstract

Abstract : 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.