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

doi:10.1109/TPWRS.2014.2352855

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 journal › Article › peer-review

26 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 language	English (US)
Article number	6902835
Pages (from-to)	2063-2072
Number of pages	10
Journal	IEEE Transactions on Power Systems
Volume	30
Issue number	4
DOIs	https://doi.org/10.1109/TPWRS.2014.2352855
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

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10.1109/TPWRS.2014.2352855

Cite this

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title = "Multi-Polytope-Based Adaptive Robust Damping Control in Power Systems Using CART",

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

author = "Tong Wang and Anamitra Pal and Thorp, {James S.} and Zengping Wang and Jizhen Liu and Yuan Yang",

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T1 - Multi-Polytope-Based Adaptive Robust Damping Control in Power Systems Using CART

AU - Wang, Tong

AU - Pal, Anamitra

AU - Thorp, James S.

AU - Wang, Zengping

AU - Liu, Jizhen

AU - Yang, Yuan

PY - 2015/7/1

Y1 - 2015/7/1

N2 - 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.

AB - 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.

KW - Adaptive damping control

KW - Classification and regression tree (CART)

KW - Inter-area oscillations

KW - Linear matrix inequalities (LMIs)

KW - Polytopic control

KW - Wide-area measurements

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

Abstract

Keywords

ASJC Scopus subject areas

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