Session 19: Secure and Efficient Operation of Multi-Agent Energy Systems with Privacy Data Governance

Secure and Efficient Operation of Multi-Agent Energy Systems with Privacy Data Governance
“多主体能源系统安全高效运行与隐私数据监管”

The multi-agent energy system is a complex and highly integrated system that extensively encompasses a wide range of diverse entities, including power generation enterprises, grid companies, distributed energy users, and energy storage operators. With the digital and intelligent transformation and upgrading, a vast amount of real-time operational data covering all aspects of energy production, transmission, distribution, and consumption is collected, transmitted, and stored within the cyber-physical fusion system. Data-driven artificial intelligence technologies have been deeply applied to the energy system, enabling accurate prediction of energy demand, optimization of energy production plans, realization of intelligent scheduling and control, etc., which have significantly enhanced the operational efficiency and intelligence level of the energy system. However, in the context of multiple uncertain operating conditions and an open, free-market environment, the reliability of AI and the security of energy data have emerged as crucial issues for ensuring the safe and efficient operation of multi-agent energy systems. This forum will focus on cutting-edge technologies in multi-agent energy systems, such as multi-energy flow optimization, multi-agent decision-making, and intelligent coordinated scheduling, and explore the latest research findings and practical experiences.

多主体能源系统是一个复杂且高度集成的体系，它广泛涵盖了发电企业、电网公司、分布式能源用户、储能运营商等众多不同类型主体。随着数字化智能化转型升级，涵盖了能源生产、传输、分配和消费各个环节的大量实时运行数据在信息物理融合系统中采集、传输与存储。数据驱动的人工智能技术得以深度应用于能源系统之中，精准预测能源需求、优化能源生产计划、实现智能调度与控制等，极大地提升了能源系统的运行效率和智能化水平。然而，多重不确定性工况和开放自由市场环境中，人工智能的可靠性和能源数据的安全性，已成为保障多主体能源系统安全高效运行的重要议题。本次论坛将聚焦多主体能源系统在多能流优化、多主体决策、智能协同调度等前沿技术，探讨最新的研究成果与实践经验。  

Topics (Including but not limited to) 

• Modeling mechanism and value evaluation of data driven model in multi-agent energy system
  多主体能源系统数据驱动模型的建模机制与价值评估
• Intelligent management of energy storage systems under multi-scale uncertainties
  多尺度不确定性下的储能系统智能管控
• Multi-energy flow fault tolerant optimal control for multi agent energy system
  多主体能源系统的多能流协同容错优化控制
• Multi agent distributed decision making and benefit allocation based on blockchain
  基于区块链的多智能体分布式优化决策与利益分配
• Monitoring and diagnosis of cyber-physical fusion risk from artificial intelligence
  人工智能信息物理融合风险的监测与诊断
• Circulation, utilization, and privacy protection of energy data resources
  能源数据要素流通利用与隐私保护