Design of an adaptive robust controller based on explorized policy iteration for the stabilization of multimachine power systems

Tae Yoon Chun, Jin Bae Park

Research output: Contribution to journalArticle

Abstract

This paper proposes a novel controller design scheme for multimachine power systems based on the explorized policy iteration. Power systems have several uncertainties on system dynamics due to the various effects of interconnections between generators. To solve this problem, the proposed method solves the LQR (Linear Quadratic Regulation) problem of isolated subsystems without the knowledge of a system matrix and the interconnection parameters of multimachine power systems. By selecting the proper performance indices, it guarantees the stability and convergence of the LQ optimal control. To implement the proposed scheme, the least squares based online method is also investigated in terms of PE (Persistency of Excitation), interconnection parameters and exploration signals. Finally, the performance and effectiveness of the proposed algorithm are demonstrated by numerical simulations of three-machine power systems with governor controllers.

Original languageKorean
Pages (from-to)1118-1124
Number of pages7
JournalJournal of Institute of Control, Robotics and Systems
Volume20
Issue number11
DOIs
Publication statusPublished - 2014 Jan 1

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Least squares approximations
Policy Iteration
Least Squares Approximation
Iterative methods
Dynamic programming
Power System
Dynamic Programming
Optimal Control
Stabilization
Interconnection
Controller
Iteration
Controllers
Governors
Dynamical systems
Computer simulation
Stability and Convergence
Performance Index
Controller Design
System Dynamics

All Science Journal Classification (ASJC) codes

  • Software
  • Control and Systems Engineering
  • Applied Mathematics

Cite this

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