Stable reinforcement learning for optimal frequency control: a distributed averaging-based integral approach

HIGHLIGHTS

  • who: Distributed Averaging-Based Integral and colleagues from the Department of Electrical and Computer Engineering, University of Washington, Seattle, WA , USA have published the research work: Stable Reinforcement Learning for Optimal Frequency Control: A Distributed Averaging-Based Integral Approach, in the Journal: (JOURNAL)
  • what: Compared to existing methods the authors provide provable guarantees on the stability of the learned controllers and extend the set of allowable cost functions to a much larger class. The works- focus on optimizing the steady-state frequency and economic performance using a principled design of fixed updating rules involving agent . . .

     

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