Journal of Shanghai Jiao Tong University

Journal of Shanghai Jiaotong University >

2024 , Vol. 58 >Issue 9: 1344 - 1356

DOI: https://doi.org/10.16183/j.cnki.jsjtu.2022.428

New Type Power System and the Integrated Energy

Optimal Allocation of Electric-Thermal Hybrid Energy Storage for Seaport Integrated Energy System Considering Carbon Trading Mechanism

  • LIN Sen ,
  • WEN Shuli ,
  • ZHU Miao ,
  • DAI Qun ,
  • YAN Lun ,
  • ZHAO Yao ,
  • YE Huili
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  • 1. College of Electrical Engineering, Shanghai University of Electric Power, Shanghai 200090, China
    2. Key Laboratory of Control of Power Transmission and Conversion of the Ministry of Education, Shanghai Jiao Tong University, Shanghai 200240, China
    3. China Shipbuilding Power (Group) Co., Ltd., Shanghai 200129, China
    4. Wuhan Second Ship Design and Research Institute, Wuhan 430064, China

Received date: 2022-10-28

  Revised date: 2022-11-18

  Accepted date: 2022-12-05

  Online published: 2023-03-23

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Abstract

With the continuous increase of electrification in seaports, the single energy supply mode of seaport microgrid is evolving towards multi-energy integration. Aimed to achieve the goals of peak carbon and carbon neutrality, an optimal carbon trading mechanism-based allocation scheme of hybrid electric and thermal storage system is proposed to further maximize the economic and environmental benefits. First, the integrated energy system model of a seaport is established, incorporating a scheme within the carbon trading market. Then, a bi-level optimization framework is proposed, in which the upper layer is utilized to optimize the allocation of the hybrid energy storage system and the lower layer is employed to optimize the operation. Afterwards, a combination algorithm of the mesh adaptive direct search and the adaptive chaotic particle swarm optimization is developed to solve the proposed problem. Finally, the real-world data of Tianjing port is utilized to verify the method. The numerical results demonstrate that with the help of the proposed method, both the cost and carbon emissions are dramatically reduced.

Key words： seaport integrated energy system; carbon trading mechanism; hybrid energy storage; mesh adaptive direct search algorithm; adaptive chaotic particle swarm optimization algorithm

Cite this article

LIN Sen , WEN Shuli , ZHU Miao , DAI Qun , YAN Lun , ZHAO Yao , YE Huili . Optimal Allocation of Electric-Thermal Hybrid Energy Storage for Seaport Integrated Energy System Considering Carbon Trading Mechanism[J]. Journal of Shanghai Jiaotong University, 2024 , 58(9) : 1344 -1356 . DOI: 10.16183/j.cnki.jsjtu.2022.428

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