With integration of large-scale renewable energy,new controllable devices,and required reinforcement of power grids,modern power systems have typical characteristics such as uncertainty,vulnerability and openness,whic...With integration of large-scale renewable energy,new controllable devices,and required reinforcement of power grids,modern power systems have typical characteristics such as uncertainty,vulnerability and openness,which makes operation and control of power grids face severe security challenges.Application of artificial intelligence(AI)technologies represented by machine learning in power grid regulation is limited by reliability,interpretability and generalization ability of complex modeling.Mode of hybrid-augmented intelligence(HAI)based on human-machine collaboration(HMC)is a pivotal direction for future development of AI technology in this field.Based on characteristics of applications in power grid regulation,this paper discusses system architecture and key technologies of human-machine hybrid-augmented intelligence(HHI)system for large-scale power grid dispatching and control(PGDC).First,theory and application scenarios of HHI are introduced and analyzed;then physical and functional architectures of HHI system and human-machine collaborative regulation process are proposed.Key technologies are discussed to achieve a thorough integration of human/machine intelligence.Finally,state-of-theart and future development of HHI in power grid regulation are summarized,aiming to efficiently improve the intelligent level of power grid regulation in a human-machine interactive and collaborative way.展开更多
针对调配一体化电网调度控制系统,分析了集中式一体化、分布式一体化、离散式一体化三种可行的建设模式。在此基础上提出了适用于超大型地调的"采用分布式调度自动化系统(supervisory control and data acquisition,SCADA)和模型...针对调配一体化电网调度控制系统,分析了集中式一体化、分布式一体化、离散式一体化三种可行的建设模式。在此基础上提出了适用于超大型地调的"采用分布式调度自动化系统(supervisory control and data acquisition,SCADA)和模型中心的调配一体化电网调度控制系统"技术方案。该技术方案的关键技术包括调配一体化系统支撑平台、分布式SCADA、调配一体化分析计算与决策支持以及调配一体化电网模型中心。对上述建设模式和技术方案进行技术经济性进行比较得出:对不同的电网规模,采用不同的调配一体化建设模式和方案可实现系统全生命周期的技术经济性最佳。展开更多
基金supported by the National Key R&D Program of China(2018AAA0101500).
文摘With integration of large-scale renewable energy,new controllable devices,and required reinforcement of power grids,modern power systems have typical characteristics such as uncertainty,vulnerability and openness,which makes operation and control of power grids face severe security challenges.Application of artificial intelligence(AI)technologies represented by machine learning in power grid regulation is limited by reliability,interpretability and generalization ability of complex modeling.Mode of hybrid-augmented intelligence(HAI)based on human-machine collaboration(HMC)is a pivotal direction for future development of AI technology in this field.Based on characteristics of applications in power grid regulation,this paper discusses system architecture and key technologies of human-machine hybrid-augmented intelligence(HHI)system for large-scale power grid dispatching and control(PGDC).First,theory and application scenarios of HHI are introduced and analyzed;then physical and functional architectures of HHI system and human-machine collaborative regulation process are proposed.Key technologies are discussed to achieve a thorough integration of human/machine intelligence.Finally,state-of-theart and future development of HHI in power grid regulation are summarized,aiming to efficiently improve the intelligent level of power grid regulation in a human-machine interactive and collaborative way.
文摘针对调配一体化电网调度控制系统,分析了集中式一体化、分布式一体化、离散式一体化三种可行的建设模式。在此基础上提出了适用于超大型地调的"采用分布式调度自动化系统(supervisory control and data acquisition,SCADA)和模型中心的调配一体化电网调度控制系统"技术方案。该技术方案的关键技术包括调配一体化系统支撑平台、分布式SCADA、调配一体化分析计算与决策支持以及调配一体化电网模型中心。对上述建设模式和技术方案进行技术经济性进行比较得出:对不同的电网规模,采用不同的调配一体化建设模式和方案可实现系统全生命周期的技术经济性最佳。
