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 language | English (US) |
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Article number | 6902835 |
Pages (from-to) | 2063-2072 |
Number of pages | 10 |
Journal | IEEE Transactions on Power Systems |
Volume | 30 |
Issue number | 4 |
DOIs | |
State | Published - Jul 1 2015 |
Externally published | Yes |
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