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

[1] Hu, Z., Bi, X., Wang, K., Hu, H., & Guo, X. (2019). Design of peak regulation auxiliary service market for east china power grid to promote inter-provincial sharing of negative reserve. Dianli Xitong Zidonghua/Automation of Electric Power Systems, 43(5), 175-182. Search in Google Scholar

[2] Pollitt, M. G., & Richter, L. L. (2018). Which smart electricity service contracts will consumers accept? the demand for compensation in a platform market. Energy economics(72-May). Search in Google Scholar

[3] Jang, H., Moon, S., & Kim, J. (2024). Effects of time-of-use pricing for residential customers and wholesale market consequences in south korea. Energy Economics, 134. Search in Google Scholar

[4] Xiao, X., Wang, J. X., & Hill, D. J. (2022). Impact of large-scale concentrated solar power on energy and auxiliary markets. Applied Energy, 318. Search in Google Scholar

[5] Alma, H., & Karan, M. B. (2017). Valuations of electricity distribution and retail companies in an emerging market. International Journal of Energy Sector Management, 11(2), 329-349. Search in Google Scholar

[6] Guo, H., Chen, Q., Xia, Q., & Zou, P. (2017). Flexible ramping product in electricity markets:basic concept, equilibrium model and research prospect. Zhongguo Dianji Gongcheng Xuebao/Proceedings of the Chinese Society of Electrical Engineering, 37(11). Search in Google Scholar

[7] Pownall, T., Soutar, I., & Mitchell, C. (2021). Re-designing gb's electricity market design: a conceptual framework which recognises the value of distributed energy resources. Energies, 14(4), 1124. Search in Google Scholar

[8] Tian, L., Xie, Y., Hu, B., Liu, X., & Li, F. (2019). A deep peak regulation auxiliary service bidding strategy for chp units based on a risk-averse model and district heating network energy storage. Energies, 12(17), 3314-. Search in Google Scholar

[9] Bohland, M., & Schwenen, S. (2022). Renewable support and strategic pricing in electricity markets. International Journal of Industrial Organization, 80, 102792-. Search in Google Scholar

[10] Ghiani, E., Galici, M., Mureddu, M., & Pilo, F. (2020). Impact on electricity consumption and market pricing of energy and ancillary services during pandemic of covid-19 in italy. Energies, 13. Search in Google Scholar

[11] Villalobos, C., Negrete-Pincetic, Matías, Figueroa, Nicolás, Lorca, L., & Olivares, D. (2021). The impact of short-term pricing on flexible generation investments in electricity markets. Energy Economics, 98. Search in Google Scholar

[12] Kiran, P., Chandrakala, K. R. M. V., & Nambiar, P. (2019). Agent based locational marginal pricing and its impact on market clearing price in a deregulated electricity market. Journal of Electrical Systems, 15(3), 405-416. Search in Google Scholar

[13] Naemi, M., Davis, D., & Brear, M. J. (2022). Optimisation and analysis of battery storage integrated into a wind power plant participating in a wholesale electricity market with energy and ancillary services. Journal of cleaner production. Search in Google Scholar

[14] Shah, D., & Chatterjee, S. (2020). A comprehensive review on day head electricity market and important features of world's major electric power exchanges. International Transactions on Electrical Energy Systems(3). Search in Google Scholar

[15] Muoz, F. D., Suazo-Martínez, Carlos, Pereira, E., & Moreno, R. (2021). Electricity market design for low-carbon and flexible systems: room for improvement in chile. Energy Policy, 148. Search in Google Scholar

[16] Samuel, O., Javaid, S., Javaid, N., Ahmed, S. H., Afzal, M. K., & Ishmanov, F. (2018). An efficient power scheduling in smart homes using jaya based optimization with time-of-use and critical peak pricing schemes. Energies, 11(11), 3155-. Search in Google Scholar

[17] Lihong, F. (2017). Strategy of electricity market and its influence analysis. Electrical Engineering. Search in Google Scholar

[18] Fabio Lilliu & Diego Reforgiato Recupero. (2024). A cooperative game-theory approach for incentive systems in local energy communities. Sustainable Energy, Grids and Networks101391-. Search in Google Scholar

[19] MARIA J. REVECO, JUAN ZOLEZZI C. & HUGH RUDNICK V. (2006). Cost Allocations of Transmission Network by Cooperative Game Theory: Nucleolus method. WSEAS Transactions on Business and Economics(1),26-31. Search in Google Scholar

[20] Zhangwei Feng, Na Luo, Sihong Wu & Zheng Joseph Yan. (2024). Navigating the recycling intention of electronics manufacturers in collaborating with a third-party collector: A Stackelberg game analysis. Journal of Cleaner Production142460-. Search in Google Scholar

[21] Xiaoqing Zeng, Zilin He, Yali Wang, Yongfei Wu & Ao Liu. (2024). An Effective Method of Equivalent Load-Based Time of Use Electricity Pricing to Promote Renewable Energy Consumption. Mathematics(9). Search in Google Scholar