Bidding a Battery on Electricity Markets and Minimizing Battery Aging Costs: A Reinforcement Learning Approach

Bidding a Battery on Electricity Markets and Minimizing Battery Aging Costs: A Reinforcement Learning Approach

Battery storage is emerging as a key component of intelligent green electricitiy systems. The battery is monetized through market participation, which usually involves bidding. Bidding is a multi-objective optimization problem, involving targets such as maximizing market compensation and minimizing...

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Bibliographic Details
Main Authors: Harri Aaltonen, Seppo Sierla, Ville Kyrki, Mahdi Pourakbari-Kasmaei, Valeriy Vyatkin
Format: Article
Language:English
Published: MDPI AG 2022-07-01
Series:Energies
Subjects:
battery storage
reinforcement learning
machine learning
primary frequency reserve
frequency containment reserve
simulation
Online Access:https://www.mdpi.com/1996-1073/15/14/4960

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https://www.mdpi.com/1996-1073/15/14/4960

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