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Design of a resistive brake controller for power system stability enhancement using reinforcement learning

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1 Author(s)
Glavic, M. ; Dept. of Electr. Eng. & Comput. Sci., Univ. of Liege, Belgium

Computation of the closed-loop control laws, capable to realize multiple switching operations of a resistive brake (RB) aimed to enhance power system stability, is the primary topic of this brief. The problem is formulated as a multistage decision problem and use of a model-based reinforcement learning (RL) method, known as prioritized sweeping, to compute the control law is considered. To illustrate the performances of the proposed approach results obtained using the model of a synthetic four-machine power system are given. Handling measurement transmission delays is discussed and illustrated.

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Control Systems Technology, IEEE Transactions on  (Volume:13 ,  Issue: 5 )