Two-population Asymmetric Evolutionary Game Dynamics-based Decision-making Behavior Analysis for A Supply-side Electric Power Bidding Market

Kaiwen Zeng; Lefeng Cheng; Jianing Liu; Haizhu Wang; Tao Yu

doi:10.1051/e3sconf/202019403009

All issues

Volume 194 (2020)

E3S Web Conf., 194 (2020) 03009

References

Open Access

Issue		E3S Web Conf. Volume 194, 2020 2020 5^th International Conference on Advances in Energy and Environment Research (ICAEER 2020)


Article Number		03009
Number of page(s)		6
Section		Power Engineering and Power Generation Technology
DOI		https://doi.org/10.1051/e3sconf/202019403009
Published online		15 October 2020

L.F. Cheng, T. Yu, X.S. Zhang, L.F. Yin, and K.Q. Qu, “Cyber-physical-social systems based smart energy robotic dispatcher and its knowledge automation: framework, techniques and challenges,” Proceedings of the CSEE, vol. 38, no. 1, pp. 25-40, Jan. 2018. [Google Scholar]
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L.F. Cheng and T. Yu, “Game-theoretic approaches applied to transactions in the open and ever-growing electricity markets from the perspective of power demand response: An overview,” IEEE Access, vol. 7, no. 1, pp. 25727-25762, Mar. 2019. [Google Scholar]
L.F. Cheng and T. Yu, “Nash equilibrium-based asymptotic stability analysis of multi-group asymmetric evolutionary games in typical scenario of electricity market,” IEEE Access, vol. 6, no. 1, pp. 32064-32086, Dec. 2018. [Google Scholar]
J Von Neumann and O Morgenstern. The theory of games and economic behavior. 2nd edition, Princeton: Princeton University Press, 1947, pp. 1-15. [Google Scholar]
J.H. Wang, Z. Zhou, and A. Botterud, “An evolutionary game approach to analyzing bidding strategies in electricity markets with elastic demand,” Energy, vol. 36, pp. 3459-3467, Apr. 2011. [CrossRef] [Google Scholar]
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L.F. Cheng and T. Yu, “Typical scenario analysis of equilibrium stability of multi-group asymmetric evolutionary games in the open and ever-growing electricity market,” Proceedings of the CSEE, vol. 38, no. 19, pp. 5687-5703, Oct. 2018. [Google Scholar]
L.F. Cheng and T. Yu, “Decision-making behavior investigation for general multi-strategy evolutionary games in the spontaneous formation of long-term bidding equilibria of a power generation market,” Proceedings of the CSEE, accepted, doi: 10.13334/j.0258-8013.pcsee.191237. [Google Scholar]
L.F. Cheng, T. Yu, X.S. Zhang, and L.F. Yin, “Machine learning for energy and electric power systems: state of the art and prospects,” Autom. Electr. Power Syst., vol. 43, no. 1, pp. 15-31, Jan. 2019. [Google Scholar]

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[1] L.F. Cheng, T. Yu, X.S. Zhang, L.F. Yin, and K.Q. Qu, “Cyber-physical-social systems based smart energy robotic dispatcher and its knowledge automation: framework, techniques and challenges,” Proceedings of the CSEE, vol. 38, no. 1, pp. 25-40, Jan. 2018. [Google Scholar]

[2] Monitoring analytics. Reports: PJM state of the market. 2017-01-09. http://www.monitoringanalytics.com/reports/PJM_State_ of_the_Market/2016.shtml. [Google Scholar]

[3] L.J. Shi, B. Pang, D.N. Liu, G.Y. Qin, G.D. Li, and Q. Zhang, “Power market transaction analysis of index of Beijing electric power exchange center under new electricity reform,” Automation of Electric Power Systems, vol. 43, no. 6, pp. 163-170, Mar. 2019. [Google Scholar]

[4] L.F. Cheng and T. Yu, “Game-theoretic approaches applied to transactions in the open and ever-growing electricity markets from the perspective of power demand response: An overview,” IEEE Access, vol. 7, no. 1, pp. 25727-25762, Mar. 2019. [Google Scholar]

[5] L.F. Cheng and T. Yu, “Nash equilibrium-based asymptotic stability analysis of multi-group asymmetric evolutionary games in typical scenario of electricity market,” IEEE Access, vol. 6, no. 1, pp. 32064-32086, Dec. 2018. [Google Scholar]

[6] J Von Neumann and O Morgenstern. The theory of games and economic behavior. 2nd edition, Princeton: Princeton University Press, 1947, pp. 1-15. [Google Scholar]

[7] J.H. Wang, Z. Zhou, and A. Botterud, “An evolutionary game approach to analyzing bidding strategies in electricity markets with elastic demand,” Energy, vol. 36, pp. 3459-3467, Apr. 2011. [CrossRef] [Google Scholar]

[8] B. Bahmani-Firouzi, S. Sharifinia, R. Azizipanah-Abarghooee, and T. Niknam, “Scenario-based optimal bidding strategies of GENCOs in the incomplete information electricity market using a new improved prey-predator optimization algorithm,” IEEE Syst. J., vol. 9, no. 4, pp. 1485-1495, Dec. 2015. [Google Scholar]

[9] J. Vijaya Kumar and D.M. Vinod Kumar, “Generation bidding strategy in a pool based electricity market using Shuffled Frog Leaping algorithm,” Appl. Soft Comput., vol. 21, pp. 407-414, Apr. 2014. [Google Scholar]

[10] S. Abapour, M. Nazari-Heris, B. Mohammadi-lvatloo, and M.T. Hagh. “Game theory approaches for the solution of power system problems: a comprehensive review,” Arch. Computat. Methods Eng., to be published, pp. 1-23, Nov. 2018. https://doi.org/10.1007/s11831-018-9299-7 [Google Scholar]

[11] V. Krivan, T.E. Galanthay, and R. Cressman, “Beyond replicator dynamics: From frequency to density dependent models of evolutionary games,” J. Theor. Biol., vol. 455, pp. 232-248, 2018. [CrossRef] [PubMed] [Google Scholar]

[12] L.F. Cheng and T. Yu, “Typical scenario analysis of equilibrium stability of multi-group asymmetric evolutionary games in the open and ever-growing electricity market,” Proceedings of the CSEE, vol. 38, no. 19, pp. 5687-5703, Oct. 2018. [Google Scholar]

[13] L.F. Cheng and T. Yu, “Decision-making behavior investigation for general multi-strategy evolutionary games in the spontaneous formation of long-term bidding equilibria of a power generation market,” Proceedings of the CSEE, accepted, doi: 10.13334/j.0258-8013.pcsee.191237. [Google Scholar]

[14] L.F. Cheng, T. Yu, X.S. Zhang, and L.F. Yin, “Machine learning for energy and electric power systems: state of the art and prospects,” Autom. Electr. Power Syst., vol. 43, no. 1, pp. 15-31, Jan. 2019. [Google Scholar]