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

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

Research output: Contribution to journalArticlepeer-review

17 Scopus citations

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.

Original languageEnglish (US)
Article number6902835
Pages (from-to)2063-2072
Number of pages10
JournalIEEE Transactions on Power Systems
Volume30
Issue number4
DOIs
StatePublished - Jul 1 2015
Externally publishedYes

Keywords

  • Adaptive damping control
  • Classification and regression tree (CART)
  • Inter-area oscillations
  • Linear matrix inequalities (LMIs)
  • Polytopic control
  • Wide-area measurements

ASJC Scopus subject areas

  • Energy Engineering and Power Technology
  • Electrical and Electronic Engineering

Fingerprint Dive into the research topics of 'Multi-Polytope-Based Adaptive Robust Damping Control in Power Systems Using CART'. Together they form a unique fingerprint.

Cite this