Abstract
In order to deeply understand the interactive process of various subjects in the park's integrated energy system, effectively guide the demand-side load optimization and promote energy low-carbon, this paper puts forward a master-slave game optimization scheduling model of the park's integrated energy system based on ladder demand response, with the park operator as the leader and the user aggregator as the follower. First of all, a master-slave game structure with park operators and user aggregators as the main body is constructed, and a stepped demand response incentive mechanism is established to guide the energy use behavior of the user side; Secondly, based on the Stackelberg game theory and taking into account the carbon trading mechanism, with the goal of maximizing the comprehensive income of the park operators and the consumer surplus of the user aggregators, the optimal scheduling model of the comprehensive energy system considering the master-slave game of the park operators and the user aggregators is constructed; Finally, the theoretical research is analyzed and demonstrated through a numerical example, and the results show that the game interaction model proposed in this paper can effectively improve the benefits of the principal and subordinate parties, and reduce the carbon emission level of the system.
This is a preview of subscription content, log in via an institution to check access.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
References
Lewandowska-Bernat, A., Desideri, U.: Opportunities of power-to-gas technology in different energy systems architectures. Appl. Energy 228, 57–67 (2018)
Jia, H., Wang, D., Xu, X., et al.: Research on some key problems related to integrated energy systems. Autom. Electric Power Syst. 39(7), 198–207 (2015). (in Chinese)
Jia, H., Xiao, Q., He, J.: An improved grid current and DC capacitor voltage balancing method for three-terminal hybrid AC/DC microgrid. IEEE Trans Smart Grid 10(6), 5876–5888 (2019)
Jiang, Z., Ai, Q., Hao, R.: Integrated demand response mechanism for industrial energy system based on multi-energy interaction. IEEE Access 7, 66336–66346 (2019)
Chen, J., Hu, Z., Chen, J., et al.: Optimal dispatch of integrated energy system considering ladder-type carbon trading and flexible double response of supply and demand. High Volt. Eng. 47(9), 3094–3104 (2021). (in Chinese)
Zeng, A., Zou, Y., Hao, S., et al.: Comprehensive demand response strategy of industrial users in the park considering the stepped carbon trading mechanism. High Volt. Eng. 48(11) (2022). (in Chinese)
Shuai, X., Ma, Z., Wang, X., et al.: Research on optimal operation of shared energy storage and integrated energy microgrid based on master-slave game theory, pp. 1–12, 27 November 2022. (in Chinese)
Wu, L., Jing, Z., Wu, Q., et al.: Equilibrium strategies for integrated energy systems based on stackelberg game mode. Autom. Electr. Power Syst. 42(4), 142–150 (2018). (in Chinese)
Maharjan, S., Zhu, Q., Zhang, Y., et al.: Dependable demand response management in the smart grid: a Stackelberg game approach. IEEE Trans. Smart Grid 4(1), 120–132 (2013)
Zugno, M., Morales, J.M., Pinson, P., et al.: A bilevel model for electricity retailers’ participation in a demand response market environment. Energy Econ. 36, 182–197 (2013)
Lozano, M.A., Serra, L.M., Pina, E.A.: Optimal design of trigeneration systems for buildings considering cooperative game theory for allocating production cost to energy services. Energy 261, 125299 (2022)
Bashir, A.A., Lund, A., Pourakbari-Kasmaei, M., et al.: Minimizing wind power curtailment and carbon emissions by power to heat sector coupling-a Stackelberg game approach. IEEE Access 8, 211892–211911 (2020)
Acknowledgments
This work was funded by State Grid Technology Project, China (5400-202218162A-1-1-ZN).
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2024 Beijing Paike Culture Commu. Co., Ltd.
About this paper
Cite this paper
Zhang, X., Wang, S., Xu, Y., Yu, X., Xia, C., Xing, A. (2024). Master Slave Game Optimization Scheduling of Park Comprehensive Energy System Based on Stepped Demand Response. In: Cai, C., Qu, X., Mai, R., Zhang, P., Chai, W., Wu, S. (eds) The Proceedings of 2023 International Conference on Wireless Power Transfer (ICWPT2023). ICWPT 2023. Lecture Notes in Electrical Engineering, vol 1159. Springer, Singapore. https://doi.org/10.1007/978-981-97-0877-2_46
Download citation
DOI: https://doi.org/10.1007/978-981-97-0877-2_46
Published:
Publisher Name: Springer, Singapore
Print ISBN: 978-981-97-0876-5
Online ISBN: 978-981-97-0877-2
eBook Packages: EngineeringEngineering (R0)