Real-Time Bidding Strategies from Micro-Grids Using Reinforcement Learning

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CIRED 2018 Ljubljana WS - 0440 - 21014.pdf (233.72 KB)

Paper number

0440

Working Group Number

Conference name

CIRED 2018 Ljubljana Workshop

Conference date

7 - 8 June 2018

Conference location

Ljubljana, Slovenia

Peer-reviewed

Yes

Short title

Convener

Authors

Boukas, Ioannis, University of Liège, Belgium
Ernst, Damien, University of Liège, Belgium
Cornélusse, Bertrand, University of Liège, Belgium

Abstract

We address the problem faced by the operator of a microgrid participating in a continuous real-time market. Themicrogrid consists of distributed generation, flexible loadsand a storage device. The goal of the microgrid operatoris the maximization of the profits over the entire tradinghorizon, while taking into account operational constraints.The variability of the Renewable Energy Sources (RES) isconsidered and the energy trading is modeled as a MarkovDecision Process. The problem is solved using reinforcement learning (RL). The resulting optimal real time bidding strategy of a microgrid is discussed.

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Keywords

Publisher

AIM

Date

2018-06-07

Published in

CIRED 2018 Ljubljana Workshop on Microgrids and Local Energy Communities

Permanent link to this record

https://www.cired-repository.org/handle/20.500.12455/1129
http://dx.doi.org/10.34890/163

ISSN

2032-9628

ISBN

978-2-9602415-1-8