Patent ID: 11861702
Assignee: NATIONAL TSING HUA UNIVERSITY
Field: Computer technology (Electrical engineering)
Classification: CPC G | IPC G

Claim 0:
1. A method for renewable-energy allocation based on reinforcement learning, adapted for an energy aggregator having an energy storage system to coordinate renewable-energy allocation between a plurality of energy suppliers and a plurality of energy demanders, the method comprising:
collecting historical power-generation data of each of the energy suppliers, so as to generate a renewable-energy index representing uncertainty of renewable energy;
collecting at least one market index related to renewable-energy market dynamics and integrating the at least one market index with the renewable-energy index and electricity information of the energy storage system into a plurality of states of a Markov decision process;
inputting the states to a reinforcement learning model, so as to determine a price bid for each of the energy suppliers and the energy demanders through computation of the reinforcement learning model; and
according to a supply amount and a demand amount proposed by the energy suppliers and the energy demanders in response to the price bids, adjusting the energy storage system to coordinate supply and demand of the renewable energy between the energy suppliers and the energy demanders, and updating the reinforcement learning model.