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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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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