电力系统自动化2024，Vol.48Issue(1)：160-175,16.DOI:10.7500/AEPS20221030007
数据与知识联合驱动的人工智能方法在电力调度中的应用综述
Review on Application of Combined Data-knowledge-driven Artificial Intelligence Methods in Power Dispatching
摘要
Abstract
The combined data-knowledge-driven artificial intelligence method is a better combined method that utilizes the advantages of data-driven and knowledge-driven methods,complementing each other's strengths and weaknesses.The paper analyzes the characteristics and current situation of the combined-driven methods,classifies and calculates its key application scenarios in power dispatching.The innovation,improvement,and application advantages of combined-driven methods in various scenarios compared to single methods are summarized.Three combined modeling methods for power dispatching combined data-knowledge-driven methods have been summarized:data-driven optimizing knowledge-driven mode,knowledge-driven assisting data-riven mode,and hybrid data-knowledge-driven mode.Finally,the challenging issues in combined modeling are discussed from five dimensions:the balance between accuracy and efficiency,effectiveness,and reliability.The application scenarios of combined-driven methods in power dispatching are discussed and prospected.关键词
电力调度/人工智能/数据驱动/知识驱动/联合驱动Key words
power dispatching/artificial intelligence/data-driven/knowledge-driven/combined-driven引用本文复制引用
李鹏,黄文琦,王鑫,梁凌宇,闫昆鹏,孙凌云..数据与知识联合驱动的人工智能方法在电力调度中的应用综述[J].电力系统自动化,2024,48(1):160-175,16.基金项目
国家重点研发计划资助项目(2020YFB0906005). This work is supported by National Key R&D Program of China(No.2020YFB0906005). （2020YFB0906005）
