A Mean-Field Game Model of Electricity Market Dynamics

Research output: Chapter in Book/Report/Conference proceedingChapterpeer-review

Abstract

We develop a model for the long-term dynamics of electricity market, based on mean-field games of optimal stopping. Our paper extends the recent contribution (Aïd et al., J. Dyn. Games 8(4):331, 2021) in several ways, making the model much more realistic, especially for describing the medium-term impacts of energy transition on electricity markets. In particular, we allow for an arbitrary number of technologies with endogenous fuel prices, introduce plant construction time and enable the agents to both invest and divest. This makes it possible to describe the role of gas generation as a medium-term substitute for coal, to be replaced by renewable generation in the long term, and enables us to model the events like the 2022 energy price crisis.

Original languageEnglish
Title of host publicationQuantitative Energy Finance
Subtitle of host publicationRecent Trends and Developments
PublisherSpringer Nature
Pages181-219
Number of pages39
ISBN (Electronic)9783031505973
ISBN (Print)9783031505966
DOIs
Publication statusPublished - 1 Jan 2024

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

  1. SDG 7 - Affordable and Clean Energy
    SDG 7 Affordable and Clean Energy

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