Integer constraints in a Cournot model - an application to electricity market modelling

Abstract The costs associated with electricity generation include costs that are independent of their marginal output, such as the cost of starting their units, and constraints such as minimum generation levels. Modelling these costs and constraints requires integer formulation of the units, and so they have typically been ignored in electricity market modelling and simulation to date. We present a stochastic equilibrium model to include these costs and constraints in a Cournot game. We solve it using the Gauss-Seidel diagonalization algorithm and apply it to a model of the power system of the island of Ireland for varying levels of variable renewable power generation. We find that the impacts of integer modelling are non-trivial, and are heterogeneous across firms and wind levels. Furthermore, excluding integer modelling exaggerates the impact of price-making behaviour. We conclude that neglecting integer constraints in power system market models leads to inaccurate results, particularly at high penetrations of renewable energy sources.

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Publication Details

Journal
OR Spectrum
Published
2025-05-22
DOI
https://doi.org/10.1007/s00291-025-00819-w
Citations
1
Primary Topic
Electric Power System Optimization
Type
article
Field-Weighted Citation Impact
0.73

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article

Integer constraints in a Cournot model - an application to electricity market modelling

Mel T. Devine, Muireann Á. Lynch
1 citations
OR Spectrum
Electric Power System Optimization
0.73
article

Integer constraints in a Cournot model - an application to electricity market modelling

Mel T. Devine, Muireann Á. Lynch
article en
1 citations

Abstract

Abstract The costs associated with electricity generation include costs that are independent of their marginal output, such as the cost of starting their units, and constraints such as minimum generation levels. Modelling these costs and constraints requires integer formulation of the units, and so they have typically been ignored in electricity market modelling and simulation to date. We present a stochastic equilibrium model to include these costs and constraints in a Cournot game. We solve it using the Gauss-Seidel diagonalization algorithm and apply it to a model of the power system of the island of Ireland for varying levels of variable renewable power generation. We find that the impacts of integer modelling are non-trivial, and are heterogeneous across firms and wind levels. Furthermore, excluding integer modelling exaggerates the impact of price-making behaviour. We conclude that neglecting integer constraints in power system market models leads to inaccurate results, particularly at high penetrations of renewable energy sources.

OR SpectrumVol. 47(4)
University College Dublin (IE), Economic and Social Research Institute (IE), Johns Hopkins University (US), Trinity College Dublin (IE)
Irish Research eLibrary, Economic and Social Research Institute, Science Foundation Ireland, University College Dublin
Openalex Percentile: Top 28%
Electric Power System Optimization
0.73
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