Coordinated Multi-Agent Reinforcement Learning for Swarm Battery Control

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Details zur Publikation

Autorinnen und Autoren: Ebell N, Pruckner M
Jahr der Veröffentlichung: 2018
Tagungsband: 2018 IEEE Canadian Conference on Electrical Computer Engineering (CCECE)
Seitenbereich: 1-4
ISBN: 978-1-5386-2410-4
ISSN: 2576-7046
Sprache: Englisch


Abstract

New ideas supporting the transition of the energy system are needed. To keep the electric grid in stable operation at times of high volatile supply from renewable energy sources one possibility is seen in distributed battery energy storage systems. They provide flexibility as a ancillary service for transmission system operators as well as improving self-sufficiency for residential buildings with photovoltaic systems. This research-in-progress paper presents an approach towards a coordinated multi-agent reinforcement learning-based swarm battery control. The goal is to use reinforcement learning to manage the battery’s power flows between the battery, a photovoltaic system, a household’s electric load and the electric grid. Our approach includes the use of the battery to offer frequency containment reserve as well as to improve energy self-sufficiency. As a last step, we compare the performance of our algorithm with a rule-based approach defining the same system configuration and objective.


FAU-Autorinnen und Autoren / FAU-Herausgeberinnen und Herausgeber

Ebell, Niklas
Juniorprofessur für Energieinformatik
Pruckner, Marco Prof. Dr.-Ing.
Juniorprofessur für Energieinformatik


Zitierweisen

APA:
Ebell, N., & Pruckner, M. (2018). Coordinated Multi-Agent Reinforcement Learning for Swarm Battery Control. In 2018 IEEE Canadian Conference on Electrical Computer Engineering (CCECE) (pp. 1-4). Quebec Stadt, Quebec, CA.

MLA:
Ebell, Niklas, and Marco Pruckner. "Coordinated Multi-Agent Reinforcement Learning for Swarm Battery Control." Proceedings of the 2018 IEEE Canadian Conference on Electrical & Computer Engineering (CCECE), Quebec Stadt, Quebec 2018. 1-4.

BibTeX: 

Zuletzt aktualisiert 2019-08-01 um 18:10