智能控制技术在电网调度优化中的应用
Application of Intelligent Control Technology in Power Grid Dispatch Optimization
傅洁1
作者信息
摘要
阐述针对智能电网调度优化的需求与技术难点,分析数据驱动的预测技术、智能优化算法及机器学习辅助决策在调度优化中的应用.探讨调度优化的关键实现,包括基于深度学习的负荷预测系统实现、强化学习在实时调度中的应用、分布式能源协同调度的优化算法.
Abstract
This paper expounds the requirements and technical difficulties of intelligent grid scheduling optimization,analyzes the application of data-driven prediction technology,intelligent optimization algorithms,and machine learning assisted decision-making in scheduling optimization.It explores key implementations of scheduling optimization,including the implementation of load forecasting systems based on deep learning,the application of reinforcement learning in real-time scheduling,and optimization algorithms for distributed energy collaborative scheduling.
关键词
智能控制技术/电力调度优化/深度学习/强化学习Key words
intelligent control technology/power dispatch optimization/deep learning/reinforcement learning引用本文复制引用
出版年
2024
NETL
NSTL
万方数据