Reinforcement learning techniques for optimal power control in grid-connected microgrids: A comprehensive review

EO Arwa, KA Folly - Ieee Access, 2020 - ieeexplore.ieee.org
Utility grids are undergoing several upgrades. Distributed generators that are supplied by
intermittent renewable energy sources (RES) are being connected to the grids. As RES get …

Reinforcement learning approaches to power management in grid-tied microgrids: A review

AO Erick, KA Folly - 2020 Clemson University Power Systems …, 2020 - ieeexplore.ieee.org
Modern power systems are characterized by bidirectional power flows, smart metering
schemes capable of net metering applications and several renewable energy-based …

Power flow management in electric vehicles charging station using reinforcement learning

AO Erick, KA Folly - 2020 IEEE Congress on Evolutionary …, 2020 - ieeexplore.ieee.org
This paper investigates optimal power flow management problem in an electric vehicle
charging station. The charging station is powered by solar PV and is tied to the grid and a …

Improved Q-learning for Energy Management in a Grid-tied PV Microgrid

EO Arwa, KA Folly - SAIEE Africa Research Journal, 2021 - ieeexplore.ieee.org
This paper proposes an improved Q-learning method to obtain near-optimal schedules for
grid and battery power in a grid-connected electric vehicle charging station for a 24-hour …

Learning and Planning with the Average-Reward Formulation

Y Wan - 2023 - era.library.ualberta.ca
The average-reward formulation is a natural and important formulation of learning and
planning problems, yet has received much less attention than the episodic and discounted …

Reinforcement learning for power scheduling in a grid-tied pv-battery electric vehicles charging station

EO Arwa - 2021 - open.uct.ac.za
Grid-tied renewable energy sources (RES) based electric vehicle (EV) charging stations are
an example of a distributed generator behind the meter system (DGBMS) which …