Abstract
Due to the pressure of environmental pollution and energy crisis, the integrated energy system (IES) with multiple energy hubs (EH) has been widely promoted. This paper proposes a distributed coordinated robust optimal scheduling method for multi-EH-based IES. Firstly, a two-stage robust optimization (TRO) model is developed for multi-EH-based IES with uncertain wind power. To solve the min-max-min model of TRO, the column and constraint generation (C&CG) method is employed, which transforms the TRO model into master problem (MP) and subproblem (SP). Secondly, the alternating direction method of multipliers (ADMM) is used to solve MP to guarantee the information privacy of subsystems. Furthermore, an acceleration strategy is developed to improve the convergence performance of ADMM. The proposed distributed coordinated robust optimization strategy has the advantages of privacy protection and higher economy. Simulation results in a three-EH-based IES are presented to illustrate the effectiveness of proposed method for optimal synergy of multiple EHs with uncertainty.
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References
Krause, T., Andersson, G., FroHlich, K., et al.: Multiple-energy carriers: Modeling of production, delivery, and consumption. Proc. IEEE 99(1), 15–27 (2010)
Geidl, M., Koeppel, G., Favreperro, D., et al.: Energy hubs for the future. IEEE Power Energ. Mag. 5(1), 24–30 (2007)
Najafi, A., Falaghi, H., Contreras, J., et al.: A Stochastic bilevel model for the energy hub manager problem. IEEE Trans. Smart Grid 8(5), 2394–2404 (2017)
Meng, B., Guo, F., Hu, L., et al.: Wind abandonment analysis of multi-energy systems considering gas-electricity coupling. Electr. Power Eng. Technol. 38(06), 2–8 (2019)
Yong, L., Yao, Z., Yi, T., et al.: Optimal stochastic operation of integrated low-carbon electric power, natural gas and heat delivery system. IEEE Trans. Sustain. Energ. 9(1), 273–283 (2017)
Su, Y., Nie, W., Tan, M.: Day-ahead interval optimization of integrated energy system considering wind power integration and gas-electricity transformation. Autom. Electr. Power Syst. 43(17), 63–71 (2019)
Bai, M., Wang, Y., Tang, W., et al.: Day-ahead optimal dispatching of regional integrated energy system based on interval linear programming. Power Syst. Technol. 41(12), 3963–3970 (2017)
He, C., Liu, T., Wu, L., et al.: Robust coordination of interdependent electricity and natural gas systems in day-ahead scheduling for facilitating volatile renewable generations via power-to-gas technology. J. Mod. Power Syst. Clean Energy 5(3), 375–388 (2017)
Shui, Y., Liu, J., Gao, H., et al.: A distributionally robust coordinated dispatch model for integrated electricity and heating systems considering uncertainty of wind power. Proc. Chin. Soc. Electr. Eng. 38(24), 7235–7247 (2018)
Boyd, S., Parikh, N., Chu, E., et al.: Distributed optimization and statistical learning via the alternating direction method of multipliers. Found. Trends Mach. Learn. 3(1), 1–122 (2010)
Chen, F., Deng, H., Shao, Z.: Distributed robust synergistic scheduling of electricity, natural gas, heating and cooling systems via alternating direction method of multipliers. Int. J. Energy Res. 45(6), 8456–8473 (2021)
Zeng, B., Zhao, L.: Solving two-stage robust optimization problems by a constraint-and-column generation method. Oper. Res. Lett. 41(5), 457–461 (2013)
Wang, Y., Zhang, N., Kang, C., et al.: Standardized matrix modeling of multiple energy systems. IEEE Trans. Smart Grid 10(1), 257–270 (2019)
Acknowledgments
This work was supported in part by the National Natural Science Foundation of China (No. 52107080), Natural Science Foundation of Fujian Province (No. 2021J05135), Science and Technology Innovation Platform of Fuzhou City (No. 2020-PT-143) and the Education and Scientific Research Project of Young and Middle-aged Teachers of Fujian Province (No. JAT190039).
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Chen, Y., Deng, H., Chen, F., Xu, Z., Shao, Z. (2023). Distributed Coordinated Robust Optimal Scheduling of Multi-EH-Based Integrated Energy System. In: Ren, Z., Wang, M., Hua, Y. (eds) Proceedings of 2021 5th Chinese Conference on Swarm Intelligence and Cooperative Control. Lecture Notes in Electrical Engineering, vol 934. Springer, Singapore. https://doi.org/10.1007/978-981-19-3998-3_69
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DOI: https://doi.org/10.1007/978-981-19-3998-3_69
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