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Capacity Optimization Allocation of Multi-Energy-Coupled Integrated Energy System Based on Energy Storage Priority Strategy

Author

Listed:
  • Xiang Liao

    (Hubei Key Laboratory for High-Efficiency Utilization of Solar Energy and Operation Control of Energy Storage System, School of Electrical & Electronic Engineering, Hubei University of Technology, Wuhan 430068, China)

  • Runjie Lei

    (Hubei Key Laboratory for High-Efficiency Utilization of Solar Energy and Operation Control of Energy Storage System, School of Electrical & Electronic Engineering, Hubei University of Technology, Wuhan 430068, China)

  • Shuo Ouyang

    (Changjiang Water Resources Committee, Wuhan 430010, China)

  • Wei Huang

    (Hubei Energy Group New Energy Development Co., Wuhan 430077, China)

Abstract

As the global focus on environmental conservation and energy stability intensifies, enhancing energy efficiency and mitigating pollution emissions have emerged as pivotal issues that cannot be overlooked. In order to make a multi-energy-coupled integrated energy system (IES) that can meet the demand of load diversity under low-carbon economic operation, an optimal capacity allocation model of an electricity–heat–hydrogen multi-energy-coupled IES is proposed, with the objectives of minimizing operating costs and pollutant emissions and minimizing peak-to-valley loads on the grid side. Different Energy management strategies with different storage priorities are proposed, and the proposed NSNGO algorithm is used to solve the above model. The results show that the total profit after optimization is 5.91% higher on average compared to the comparison type, and the pollutant emission scalar function is reduced by 980.64 (g), which is 7.48% lower. The peak–valley difference of the regional power system before optimization is 0.5952, and the peak–valley difference of the regional power system after optimization is 0.4142, which is reduced by 30.40%, and the proposed capacity allocation method can realize the economic operation of the multi-energy-coupled integrated energy system.

Suggested Citation

  • Xiang Liao & Runjie Lei & Shuo Ouyang & Wei Huang, 2024. "Capacity Optimization Allocation of Multi-Energy-Coupled Integrated Energy System Based on Energy Storage Priority Strategy," Energies, MDPI, vol. 17(21), pages 1-34, October.
    • Handle: RePEc:gam:jeners:v:17:y:2024:i:21:p:5261-:d:1504244
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    References listed on IDEAS

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    1. Bartolini, Andrea & Carducci, Francesco & Muñoz, Carlos Boigues & Comodi, Gabriele, 2020. "Energy storage and multi energy systems in local energy communities with high renewable energy penetration," Renewable Energy, Elsevier, vol. 159(C), pages 595-609.
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    3. Liu, Jia & Cao, Sunliang & Chen, Xi & Yang, Hongxing & Peng, Jinqing, 2021. "Energy planning of renewable applications in high-rise residential buildings integrating battery and hydrogen vehicle storage," Applied Energy, Elsevier, vol. 281(C).
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    1. Qiaoqiao Xing & Shidong Li & Da Qiu & Yang Long & Qinyi Liao & Xiangjin Yin & Yunxiang Li & Kai Qian, 2025. "A Bi-Level Capacity Optimization Method for Hybrid Energy Storage Systems Combining the IBWO and MVMD Algorithms," Energies, MDPI, vol. 18(7), pages 1-24, April.

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