中国电机工程学报2024，Vol.44Issue(16)：6367-6384,18.DOI:10.13334/j.0258-8013.pcsee.232588
机器学习赋能的优化算法及其在新型电力系统中的应用与展望
Machine Learning Empowered Optimization Algorithms and Their Applications and Prospects in New Type Power System
摘要
Abstract
In recent years,with the rapid development of renewable energy and the accelerated promotion of new power system construction,the uncertainty of power systems has become more prominent,posing huge challenges for modeling and optimization scheduling.Machine learning techniques can effectively utilize vast historical data to provide new theoretical basis for optimizing stable and fast solutions.This paper provides a detailed analysis of the progress in this emerging interdisciplinary field.First,for general optimization problems,based on the interaction between machine learning and optimization computing,the basic algorithm framework is summarized into three categories:machine learning end-to-end optimization solving,machine learning enhanced optimization solving algorithms,and machine learning and power system optimization joint driving solving.Their basic principles and applicable problem forms are explained respectively.Then,the progress of related technology applications in power system optimization is reviewed and the basic methods and application effects are summarized.Finally,the development trends of learning-based optimization methods and their application prospects in new power systems are explored,with the aim of providing references and inspirations for future research work in this emerging field.关键词
机器学习/新型电力系统/人工智能/优化算法Key words
machine learning/new type power system/artificial intelligence/optimization algorithm分类
信息技术与安全科学引用本文复制引用
王新迎,闫冬,施展,张东霞,邓琪,林振炜..机器学习赋能的优化算法及其在新型电力系统中的应用与展望[J].中国电机工程学报,2024,44(16):6367-6384,18.基金项目
国家重点研发计划项目(2022ZD0119804) （2022ZD0119804）
国家自然科学基金联合基金项目(U2066213).National Key R&D Program of China(2022ZD0119804) （U2066213）
Project Supported by National Natural Science Foundation of China(U2066213). （U2066213）
