Dynamic pricing and energy management of electric heating integrated energy system based on Stackelberg game
Автор: Wang Yibo, Feng Guozeng
Журнал: Бюллетень науки и практики @bulletennauki
Рубрика: Технические науки
Статья в выпуске: 8 т.8, 2022 года.
Бесплатный доступ
This paper investigates the dynamic pricing and energy management of integrated electric and thermal energy systems through the Stackelberg game approach, for the upper tier leader problem, the revenue of the integrated energy system as a whole is used as the objective function, taking into account the electricity price and related constraints such as the heat price, for the lower follower problem, a leader-follower Stackelberg game model is constructed with the highest user satisfaction as the objective function, Constraints such as power balance conditions and thermal balance conditions of the system are also taken into account, The upper level of the model is solved using a differential evolutionary algorithm, Lower level solver using CPLEX solver. The simulation results show that the proposed model not only effectively weighs the interests of the integrated energy system and the customer aggregator, but also achieves a win-win situation for both the customer aggregator and the external grid, and the solution algorithm used protects the data privacy between the integrated energy system and the customer aggregator.
Stackelberg game, integrated energy systems, dynamic pricing, energy management
Короткий адрес: https://sciup.org/14125296
IDR: 14125296 | DOI: 10.33619/2414-2948/81/28
Список литературы Dynamic pricing and energy management of electric heating integrated energy system based on Stackelberg game
- Li, H., Liu, D., & Yao, D. Y. (2021). Analysis and reflection on the development of power system towards the goal of carbon emission peak and carbon neutrality. Proc. CSEE, 41, 6245-6259.
- Li, X., Ai, X., Hu, J., Zhou, B., & Lin, Z. (2019). Three-stage combined peak regulation strategy for nuclear-thermal-virtual power plant considering carbon trading mechanism. Power Syst. Technol, 43, 2460-2470.
- Wu, C., Lin, S., Xia, C., & Guan, L. (2020). Distributed optimal dispatch of microgrid cluster based on model predictive control. Power Syst. Technol., 44(2), 530-538.
- Khan, M. R. B., Jidin, R., & Pasupuleti, J. (2016). Multi-agent based distributed control architecture for microgrid energy management and optimization. Energy Conversion and Management, 112, 288-307. https://doi.org/10.1016Zj.enconman.2016.01.011
- Dou, C., Jia, X., & Heng, L. I. (2016). Multi-agent-system-based market bidding strategy for distributed generation in microgrid. Power System Technology, 40(2), 579-586.
- Lee, J., Guo, J., Choi, J. K., & Zukerman, M. (2015). Distributed energy trading in microgrids: A game-theoretic model and its equilibrium analysis. IEEE Transactions on Industrial Electronics, 62(6), 3524-3533. https://doi.org/10.1109/TIE.2014.2387340
- Jadhav, A. M., & Patne, N. R. (2017). Priority-based energy scheduling in a smart distributed network with multiple microgrids. IEEE Transactions on Industrial Informatics, 13(6), 3134-3143. https://doi.org/10.1109/TII.2017.2671923
- Jadhav, A. M., Patne, N. R., & Guerrero, J. M. (2018). A novel approach to neighborhood fair energy trading in a distribution network of multiple microgrid clusters. IEEE Transactions on Industrial Electronics, 66(2), 1520-1531. https://doi.org/10.1109/TIE.2018.2815945
- Zhong, W., Xie, S., Xie, K., Yang, Q., & Xie, L. (2020). Cooperative P2P energy trading in active distribution networks: An MILP-based Nash bargaining solution. IEEE Transactions on Smart Grid, 12(2), 1264-1276. https://doi.org/10.1109/TSG.2020.3031013
- Sheng, W., Wu, M., Ji, Y., Kou, L., Pan, J., Shi, H., ... & Wang, Z. G. (2019, April). Key techniques and engineering practice of distributed renewable generation clusters integration. In Proceedings of the CSEE (Vol. 39, No. 8, pp. 2175-2186).
- Mu, C., Ding, T., Dong, J., Ning, K., Dong, X., & He, Y. (2021). Development of decentralized peer-to-peer multi-energy trading system based on private blockchain technology. Journal of Proceedings of the CSEE.
- Doan, H. T., Cho, J., & Kim, D. (2021). Peer-to-peer energy trading in smart grid through blockchain: A double auction-based game theoretic approach. Ieee Access, 9, 49206-49218. https://doi.org/10.1109/ACCESS.2021.3068730
- Yang, Z., Peng, S., Liao, Q., Liu, D., Xu, Y., & Zhang, Y. J. (2018). Non-cooperative trading method for three market entities in integrated community energy system. Autom. Electr. Power Syst, 42(14), 32-39.
- Park, S., Lee, J., Bae, S., Hwang, G., & Choi, J. K. (2016). Contribution-based energy-trading mechanism in microgrids for future smart grid: A game theoretic approach. IEEE Transactions on Industrial Electronics, 63(7), 4255-4265. https://doi.org/10.1109/TIE.2016.2532842
- Liu, N., Cheng, M., Yu, X., Zhong, J., & Lei, J. (2018). Energy-sharing provider for PV prosumer clusters: A hybrid approach using stochastic programming and stackelberg game. IEEE Transactions on Industrial Electronics, 65(8), 6740-6750. https://doi.org/10.1109/TIE.2018.2793181
- Cui, S., Wang, Y. W., Shi, Y., & Xiao, J. W. (2020). Community energy cooperation with the presence of cheating behaviors. IEEE Transactions on Smart Grid, 12(1), 561-573. https://doi.org/10.1109/TSG.2020.3022792
- Mei, Shengwei, Liu, Feng, Wei, Wei. (2016). Fundamentals of engineering game theory and power system application. Beijing Science Press.
- Paudel, A., Chaudhari, K., Long, C., & Gooi, H. B. (2018). Peer-to-peer energy trading in a prosumer-based community microgrid: A game-theoretic model. IEEE Transactions on Industrial electronics, 66(8), 6087-6097. https://doi.org/10.1109/TIE.2018.2874578
- Liu, N., Yu, X., Wang, C., Li, C., Ma, L., & Lei, J. (2017). Energy-sharing model with price-based demand response for microgrids of peer-to-peer prosumers. IEEE Transactions on Power Systems, 32(5), 3569-3583. https://doi.org/10.1109/TPWRS.2017.2649558
- Xu, Y., Liao, Q., Liu, D., Peng, S., Yang, Z., Zou, H., & Zhang, L. (2019). Multi-player intraday optimal dispatch of integrated energy system based on integrated demand response and games. Power System Technology, 43(7), 2506-2518.