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Historically, wholesale and retail electricity markets have been designed and maintained as separate markets, without any mechanisms for interactions between participants in the distinct marketplaces. Growing interest in developing responsive demand brings into question the logic of this separation, as retail customers could begin to play a role in maintaining a stable power grid and market price...
A Reinforcement Learning (RL) method applied to the dynamic load allocation in AGC system is presented. The problem can be modeled as a Markov Decision Process (MDP). The Q-learning algorithm as a model-free learning algorithm is introduced. It learns an optimal action strategy by experience from exploring an unknown system and getting rewards. Rewards are chosen to express how well actions control...
Set the date range to filter the displayed results. You can set a starting date, ending date or both. You can enter the dates manually or choose them from the calendar.