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ORIGINAL RESEARCH article

Front. Energy Res.

Sec. Process and Energy Systems Engineering

Volume 13 - 2025 | doi: 10.3389/fenrg.2025.1617362

This article is part of the Research TopicOcean and Offshore Systems Engineering for Renewable Energy ApplicationsView all articles

Virtual power plant load aggregation optimization scheduling strategy for port adjustable resources

Provisionally accepted
Yun  ZhangYun Zhang*Jie  PanJie PanShuiming  JiangShuiming JiangHui  ZhuHui ZhuFeng  ChenFeng ChenQuanyan  ShuQuanyan ShuJian  ZhaoJian Zhao
  • State Grid Jiangsu Electric Power Co., Ltd Yancheng Power Supply Company, Jiangsu Province/Yancheng, China

The final, formatted version of the article will be published soon.

In order to respond to the call of double carbon and further follow up the port energy construction in the new era, a virtual power plant load aggregation optimization scheduling strategy for port adjustable resources was proposed in view of the uncertainty of port adjustable resources and the insufficient consumption of new energy. Firstly, a port multi-energy coupling virtual power plant model including electricity, cold, heat and gas is constructed. Secondly, according to the load response law and demand characteristics, the load model of ship power change and electric heavy truck is added. Finally, considering the stepped carbon trading mechanism, the carbon emission cost of buildings is optimized by adjusting energy output, the carbon emission of buildings is improved, the clean transformation of energy structure is promoted, and the economic and environmental benefits of system operation are optimized. Through the comparative analysis of three scenarios, the introduction of flexible load and carbon trading mechanism in the energy system of intelligent buildings can give full play to the interaction and plasticity of the energy structure of intelligent buildings, effectively promote the consumption of clean energy, and realize the low-carbon economic operation of the energy system.

Keywords: Virtual power plant, Port loads, adjustable resources, Carbon trading, Optimal scheduling

Received: 24 Apr 2025; Accepted: 23 Jul 2025.

Copyright: © 2025 Zhang, Pan, Jiang, Zhu, Chen, Shu and Zhao. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) or licensor are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.

* Correspondence: Yun Zhang, State Grid Jiangsu Electric Power Co., Ltd Yancheng Power Supply Company, Jiangsu Province/Yancheng, China

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