中国电机工程学报2024，Vol.44Issue(16)：6347-6366,20.DOI:10.13334/j.0258-8013.pcsee.231797
人机混合增强决策智能在新型电力系统调控中的应用与展望
Application and Prospect of Hybrid Human-machine Decision Intelligence in the Dispatch and Control of Next-era Power Systems
摘要
Abstract
The dispatch and operation of next-era power system faces challenges such as increased system scale and randomness,and difficulty in coordinating massive and diverse resources.Existing optimization-based and manual dispatch methods are difficult to tackle these challenges.Although decision intelligence represented by reinforcement learning has significant advantages in representation capability and decision speed,its application in power systems still faces critical bottlenecks.The hybrid human-machine intelligence(HHMI)has great potential to break through these bottlenecks and support the efficient and intelligent system dispatch and adjustments.At present,the research on HHMI is still in its infancy and its application lacks.To explore the potential and applications of HHMI,considering the needs of power system dispatch and adjustments,the advantages and limitations of decision intelligence are analyzed.On this basis,the overall framework,key methods,application solutions,and key problems in the practical application of HHMI are discussed,and its future practices are prospected.This provides ideas for the research and application of HHMI in the dispatch and control of next-era power systems.关键词
人机混合/人在回路/人机交互/电力系统调度/电网运行控制/智能决策/强化学习Key words
hybrid human-machine/human-in-the-loop/human-computer interaction/power system dispatch/grid operation & control/intelligent decision/reinforcement learning分类
信息技术与安全科学引用本文复制引用
李鹏,黄文琦,梁凌宇,戴珍,曹尚,车亮,涂春鸣..人机混合增强决策智能在新型电力系统调控中的应用与展望[J].中国电机工程学报,2024,44(16):6347-6366,20.基金项目
国家重点研发计划项目(2022YFB2403500) （2022YFB2403500）
南方电网数字电网研究院科技项目(670000KK52220002).National Key R&D Program of China(2022YFB2403500) （670000KK52220002）
Science and Technology Project of China Southern Power Grid Digital Grid Research Institute(670000KK52220002). （670000KK52220002）
