Article ID | Journal | Published Year | Pages | File Type |
---|---|---|---|---|
705529 | Electric Power Systems Research | 2009 | 10 Pages |
Abstract
This paper proposes a reinforcement learning based backstepping control technique for damping oscillations in electric power systems using the generators excitation systems. Decentralized controllers are first designed using the backstepping technique. Then, reinforcement learning is used to tune the gains of these controllers to adapt to various operating conditions. Simulation results for a two area power system show that the proposed control technique provides better damping than (i) conventional power system stabilizers and (ii) backstepping fixed gain controllers.
Related Topics
Physical Sciences and Engineering
Energy
Energy Engineering and Power Technology
Authors
Ali Karimi, Sara Eftekharnejad, Ali Feliachi,