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

被引：0

作者：

Lin, Sen ^{[1
]}

Wen, Shuli ^{[2
]}

Zhu, Miao ^{[2
]}

Dai, Qun ^{[3
]}

Yan, Lun ^{[4
]}

Zhao, Yao ^{[1
]}

Ye, Huili ^{[2
]}

机构：

[1] College of Electrical Engineering, Shanghai University of Electric Power, Shanghai

[2] Key Laboratory of Control of Power Transmission and Conversion, The Ministry of Education, Shanghai Jiao Tong University, Shanghai

[3] China Shipbuilding Power (Group) Co., Ltd., Shanghai

[4] Wuhan Second Ship Design and Research Institute, Wuhan

来源：

Shanghai Jiaotong Daxue Xuebao/Journal of Shanghai Jiaotong University | 2024年 / 58卷 / 09期

关键词：

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

D O I：

10.16183/j.cnki.jsjtu.2022.428

中图分类号：

学科分类号：

摘要：

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. © 2024 Shanghai Jiaotong University. All rights reserved.

引用

页码：1344 / 1356

页数：12

共 27 条

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