A robust decentralized control framework for enhancing smart grid transient stability
| Autor: | Arturo S. Bretas, Muharrem Ayar, Serhat Obuz, Rodrigo D. Trevizan, Haniph A. Latchman |
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| Rok vydání: | 2017 |
| Předmět: |
Lyapunov stability
0209 industrial biotechnology Computer science 020209 energy 02 engineering and technology Decentralised system Flywheel Tracking error Electric power system Nonlinear system 020901 industrial engineering & automation Smart grid Control theory Distributed data store 0202 electrical engineering electronic engineering information engineering |
| Zdroj: | 2017 IEEE Power & Energy Society General Meeting. |
| Popis: | In this paper, we present a decentralized nonlinear robust controller to enhance the transient stability margin of synchronous generators. Although, the trend in power system control is shifting towards centralized or distributed controller approaches, the remote data dependency of these schemes fuels cyber-physical security issues. Since the excessive delay or losing remote data affect severely the operation of those controllers, the designed controller emerges as an alternative for stabilization of Smart Grids in case of unavailability of remote data and in the presence of plant parametric uncertainties. The proposed controller actuates distributed storage systems such as flywheels in order to reduce stabilization time and it implements a novel input time delay compensation technique. Lyapunov stability analysis proves that all the tracking error signals are globally uniformly ultimately bounded. Furthermore, the simulation results demonstrate that the proposed controller outperforms traditional local power systems controllers such as Power System Stabilizers. |
| Databáze: | OpenAIRE |
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