<abstract xmlns="http://www.w3.org/1999/xhtml">

<p>Amidst the ongoing evolution and substantial reforms within the electric power market, the development of an auxiliary service pricing model grounded in game theory emerges as crucial. This study delineates the construction of an electricity auxiliary service pricing model, utilizing a dual mechanism approach: a cooperative game-based electricity price formation mechanism and a Stackelberg game-based time-sharing pricing mechanism. Furthermore, it incorporates demand response technology to conduct a detailed analysis of optimization results and the applicability of the proposed electricity service pricing model. The pricing scheme designated as Scheme 4, derived from the proposed model, demonstrates notable superiority in terms of economic efficiency and environmental sustainability when juxtaposed with three alternative schemes. Specifically, Scheme 4 yields a net profit of $13,267.6, achieves clean energy utilization amounting to 89.67 MWh, and minimizes wind abandonment to 17.35 MWh, outperforming all other considered scenarios in these metrics. Operational analysis reveals that the model's execution time varies between 15 and 50 seconds across different sample sizes, exhibiting minimal fluctuations. Additionally, the Monte Carlo simulations consistently produce values inferior to the objective function value of the developed model, with the discrepancy narrowing from 38 to 20, indicating the model's robust adaptability.</p>
</abstract>

Amidst the ongoing evolution and substantial reforms within the electric power market, the development of an auxiliary service pricing model grounded in game theory emerges as crucial. This study delineates the construction of an electricity auxiliary service pricing model, utilizing a dual mechanism approach: a cooperative game-based electricity price formation mechanism and a Stackelberg game-based time-sharing pricing mechanism. Furthermore, it incorporates demand response technology to conduct a detailed analysis of optimization results and the applicability of the proposed electricity service pricing model. The pricing scheme designated as Scheme 4, derived from the proposed model, demonstrates notable superiority in terms of economic efficiency and environmental sustainability when juxtaposed with three alternative schemes. Specifically, Scheme 4 yields a net profit of $13,267.6, achieves clean energy utilization amounting to 89.67 MWh, and minimizes wind abandonment to 17.35 MWh, outperforming all other considered scenarios in these metrics. Operational analysis reveals that the model's execution time varies between 15 and 50 seconds across different sample sizes, exhibiting minimal fluctuations. Additionally, the Monte Carlo simulations consistently produce values inferior to the objective function value of the developed model, with the discrepancy narrowing from 38 to 20, indicating the model's robust adaptability.

A game theory-based pricing model for ancillary services in electricity markets

Applied Mathematics and Nonlinear Sciences

This work is licensed under the Creative Commons Attribution 4.0 International License.

{"article-title":"A game theory-based pricing model for ancillary services in electricity markets"}

Amidst the ongoing evolution and substantial reforms within the electric power market, the development of an auxiliary service pricing model grounded in game...

A game theory-based pricing model for ancillary services in electricity markets

Publié en ligne: 09 juil. 2024

Pages: -

Reçu: 04 mars 2024

Accepté: 31 mai 2024

DOI: https://doi.org/10.2478/amns-2024-1743

Mots clés
Game theory, Stackelberg game, Time-sharing pricing, Electricity pricing

© 2024 Yang Wu et al., published by Sciendo

This work is licensed under the Creative Commons Attribution 4.0 International License.

A game theory-based pricing model for ancillary services in electricity markets

Publié en ligne: 09 juil. 2024

Pages: -

Reçu: 04 mars 2024

Accepté: 31 mai 2024

DOI: https://doi.org/10.2478/amns-2024-1743

Mots clésGame theory, Stackelberg game, Time-sharing pricing, Electricity pricing

© 2024 Yang Wu et al., published by Sciendo

This work is licensed under the Creative Commons Attribution 4.0 International License.

Mots clés
Game theory, Stackelberg game, Time-sharing pricing, Electricity pricing