Simulation of Hydro Power Plants in the Iberian Market using an Agent-Based Model and Q-Learning

• Type: Article in International Conference Proceedings Book
• Date: 2020

Authors

Sousa, JC (Author) Other; João Tomé Saraiva (Author) FEUP

Conference proceedings International

Title: International Conference on the European Energy Market, EEM

17th International Conference on the European Energy Market, EEM 2020

16 September 2020 through 18 September 2020

Indexing

Scopus - 0 Citations

Other information

Authenticus ID: P-00T-0PH

DOI: 10.1109/eem49802.2020.9221913

Abstract (EN): This paper presents the results of an Agent-Based Model developed to simulate the Iberian Electricity Market, with special focus on the modelling of hydro power plants. To simulate the agent's dynamics in the day-ahead market, it was developed a bidding strategy based on a Q-Learning procedure. In the computation area, the recent years brought the discussion around artificial intelligence to a new upper level to complement traditional models, driven by the increased hardware computer capabilities, as well as new developments in the machine learning area. Reinforcement Learning models, as Q-Learning, are being widely used to represent complex systems such as electricity markets. The developed model is designed to simulate in a detailed way the hydro units that have a large impact in the electricity market common to Portugal and Spain. Apart from describing the developed model, this paper also includes results from its application to the Iberian Market case along 2018. © 2020 IEEE.

Language: English

Type (Professor's evaluation): Scientific