Multi-Polytope-Based Adaptive Robust Damping Control in Power Systems Using CART

Author

Tong Wang ; Pal, Anamitra ; Thorp, James S. ; Zengping Wang ; Jizhen Liu ; Yuan Yang

Author_Institution

Electr. & Comput. Eng. Dept., Virginia Polytech. Inst. & State Univ., Blacksburg, VA, USA

Volume

30

Issue

4

fYear

2015

fDate

Jul-15

Firstpage

2063

Lastpage

2072

Abstract

An adaptive damping control scheme based on classification and regression tree (CART) using wide-area signals is proposed in this paper. Different polytopes are chosen using classification trees. Next, a family of robust polytopic controllers is designed off-line. Finally, using regression trees and PMU data, the desired polytopic controller is identified in real time. A 16-generator, 68-bus system is used as the test system. Remote signals obtained from PMUs are employed for control purposes. The simulation results demonstrate that the proposed adaptive control scheme is able to provide adequate damping for the oscillation modes of interest with respect to varying operating conditions without any prior knowledge of the post-disturbance state.

Keywords

adaptive control; damping; power system control; regression analysis; robust control; trees (mathematics); CART; PMU data; classification and regression tree; multipolytope based adaptive robust damping control; power system control; robust polytopic controller; wide area signals; Adaptive control; Current measurement; Damping; Oscillators; Power system stability; Robust control; Robustness; Adaptive damping control; classification and regression tree (CART); inter-area oscillations; linear matrix inequalities (LMIs); polytopic control; wide-area measurements;

fLanguage

English

Journal_Title

Power Systems, IEEE Transactions on

Publisher

ieee

ISSN

0885-8950

Type

jour

DOI

10.1109/TPWRS.2014.2352855

Filename

6902835