BESS aided renewable energy supply using deep reinforcement learning for 5G and beyond
US11431170B1 · kind B1 · utility
Assignee
Inventors
Key dates
| Filing date | Jul 8, 2021 |
| Grant date | Aug 30, 2022 |
| Priority date | — |
| Expiry date | Jul 8, 2041 |
Classification
- Technology area (CPC H)Electricity
- CPC primaryH02J2300/28
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
A battery energy storage system (BESS) including: a battery storage configured to store surplus renewable energy; a controller coupled to the battery storage and configured to control charging operations and discharging operations of the battery storage; a generation meter coupled to the controller and configured to measure renewable energy; a renewable energy generator coupled to the generation meter and configured to generate renewable energy; and a standard meter coupled to the controller and configured to measure energy provided by a power grid; wherein the controller is configured to manage energy expenditure of the BESS according to the following steps: initializing a replay buffer configured to store state transition samples; initializing a main net configured to generate a current Q-value; initializing a target net configured to generate a target Q-value; obtaining an environment state of the BESS; and selecting an action based on an ϵ-greedy policy.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.