Track Ⅱ

Track Ⅱ

Application of Artificial Intelligence Methods and Other Advanced Technologies in the Planning and Operation of 

Multi Energy Systems

人工智能方法及其他先进技术在多能源系统规划运行中的应用


Chair:

Co-chairs:


Chenhui SongSiyuan ChenHao Wu

Changsha University of Science and 

Technology, China

Wuhan University, ChinaTianjin University, China


Keywords:

  • Artificial Intelligence

    (人工智能)

  • Multi-energy System

    (多能源系统)

  • Electric Vehicle

    (电动汽车)

  • Energy Storage

    (储能)

  • Distributed Generation

    (分布式发电)

  • Collaborative Planning and Operation

    (协同运行规划)


Topics:

  • Analysis of the Operational Characteristics and Mechanisms of Flexible Resources, such as Eelectric Vehicles, Energy Storage, and Distributed Generators

    (电动汽车、储能、分布式电源等灵活性资源的运行特性与机理分析)

  • Risk and Benefit Assessment of Incorporating Scaled Flexible Resources into MES

    (灵活性资源规模化接入多能源系统的风险与收益评估)

  • Adaptability and Interactive Potential of Scaled Flexible Resources Integrated into MES

    (灵活性资源接入多能源系统的适应性与互动潜力分析)

  • Analysis of the Coupling Characteristics of Flexible Resources and Multi-energy Loads, and Their Aggregation Methods

    (灵活性资源和多能负荷的耦合特性分析及聚合集成方法)

  • Low Carbon and Carbon Reduction Technology Under the Coordination of Flexible Resources and MES

    (灵活性资源和多能源系统协同时的低碳降碳技术)

  • Collaborative Planning and Operation Methods for MES Under Multiple Uncertainties

    (多重不确定环境下的多能源系统协同规划与运行方法)

  • Interactive Method between Flexible Resources and MES, and the Self-balancing Technology for Source and Load

    (灵活性资源与多能源的互动方法及源荷功率自平衡技术)

  • Energy Market Mechanism and Business Model for Scaled Flexible Resources Integration

    (考虑灵活性资源规模化接入的能源市场机制与商业模式)


Summary: 

  • With the rapid development of industries such as electric vehicles, energy storage, and distributed generation, a large number of flexible resources will be integrated into the multi-energy system (MES). Renewable energy sources such as wind and solar have characteristics such as randomness, volatility, and intermittency; electric vehicle users have disordered charging and discharging characteristics, and their charging and discharging behavior often deviates from the fluctuation trend of the load curves of energy systems, which has brought certain problems of the security, reliable and low-carbon operation of energy systems. Firstly, the operating mechanisms of flexible resources are different, and the adaptability and potential for carbon reduction and efficiency enhancement of decentralized integration into MES need to be explored. Secondly, there is a lack of planning and operation methods that can fully leverage the collaborative benefits of scaled flexible resources. Flexible resources integration can effectively reduce the operational risks brought by its access to the MES, and flexible interaction with various energy systems can effectively improve the economy and reliability of MES. Therefore, this special issue invites numerous authors from academic, industrial, and consulting backgrounds to showcase their latest research Application of Artificial Intelligence Methods and Other Advanced Technologies in the Planning and Operation of MES.


  • 随着电动汽车、储能、分布式电源等产业快速发展，大量灵活性资源将规模化接入综合能源系统，其中风光等可再生能源具有随机性、波动性、间歇性等特点，电动汽车用户存在无序充放电特性，其充放电行为往往与能源系统固有负荷曲线的波动趋势背离，给能源网络的安全可靠低碳运行带来了一定问题：一是灵活性资源的运行机理各异，其分散接入综合能源系统的适应性与降碳增效潜力有待挖掘；二是灵活性资源规模化接入后，尚缺乏能充分发挥协同效益的规划与运行方法。而灵活性资源集成可有效降低其接入能源系统带来的运行风险，与各能源系统的灵活互动可有效提升系统的经济性和可靠性。因此，本专题拟邀请来自学术、工业和咨询背景的众多作者，来展示其在人工智能方法及其他先进技术在多能源系统规划运行中的应用方面的最新研究成果。


DDL: Nov. 1, 2025