Optimal Scheduling of Electric Vehicle Charging with Deep Reinforcement Learning considering End Users Flexibility

no code implementations • 13 Oct 2023 • Christoforos Menos-Aikateriniadis, Stavros Sykiotis, Pavlos S. Georgilakis

The rapid growth of decentralized energy resources and especially Electric Vehicles (EV), that are expected to increase sharply over the next decade, will put further stress on existing power distribution networks, increasing the need for higher system reliability and flexibility.

Scheduling

Solar Power driven EV Charging Optimization with Deep Reinforcement Learning

no code implementations • 17 Nov 2022 • Stavros Sykiotis, Christoforos Menos-Aikateriniadis, Anastasios Doulamis, Nikolaos Doulamis, Pavlos S. Georgilakis

Power sector decarbonization plays a vital role in the upcoming energy transition towards a more sustainable future.

reinforcement-learning Reinforcement Learning (RL)

Voltage Regulation Support Along a Distribution Line by a Virtual Power Plant Based on a Center of Mass Load Modeling

no code implementations • 13 May 2021 • Panayiotis Moutis, Pavlos S. Georgilakis, Nikos D. Hatziargyriou

A voltage regulation method for slow voltage variations at distribution level is proposed, based on a view of the loads, generators and storage along a distribution line as point weights.