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This paper incorporates plug in hybrid electric vehicles (PHEV) with thermal unit commitment problem. The integration of PHEV can significantly enhance the reliability of power system operation. When there is enough amount of renewable energy (solar and wind) on a particular day that can be stored through PHEV and whenever there is crisis of power during peak load the same power can be inject to grid...
This paper proposes a Lyapunov constrained neural network based reinforcement learning (RL) controller with guaranteed stability for non linear systems. Neural networks have been used as universal function approximators to deal with one of the core problem faced in RL commonly known as ‘The Curse of Dimensionality’. We propose to constrain controller action set to the one dictated by the Lyapunov...
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