摘要
为深化能源改革和推进“双碳”战略目标,我国提出以构建新型电力系统作为关键行径。《“十四五”现代能源体系规划》提出积极发展智能微电网,以创新电网结构形态和运行模式,推进构建新型电力系统,人工智能是实现微电网运行优化的重要赋能技术。因此,对人工智能赋能微电网运行优化的应用与理论进行深入分析,并对人工智能技术在微电网运行优化中的应用现状、瓶颈及发展趋势展开分析、总结和展望。提出以数字孪生为主要支撑框架的人工智能赋能智慧微电网的应用体系,深度总结功能要素、运行方式和人工智能赋能作用,展望人工智能赋能微电网运行优化的应用前景,为未来人工智能技术与新型电力系统的深度融合应用提供参考和启示。
Building a new type of power system is crucial for China to achieve energy reform and the strategic goal of“carbon peaking and carbon neutrality”.Smart microgrids development,grid structure,operational mode innovation,and a new type of power system construction are proposed in the“14th Five-Year Plan for Renewable Energy Development”.Artificial intelligence is an essential enabling technology to optimize microgrid operation.In this paper,the application and theories of artificial intelligence-enabled microgrid operation optimization are analyzed in detail.The application status,bottlenecks,and development trends of the involved artificial intelligence are analyzed and summarized.Then an application system of artificial intelligence enabling smart microgrids with the digital twin as the main supporting framework is proposed.Functional elements,operation mode,and artificial intelligence effects are comprehensively summarized.Finally,the application prospect of artificial intelligence-enabled microgrid operation optimization is described.It is expected to provide references and inspiration for the deep integration of artificial intelligence and new power systems in the future.
作者
孙永辉
孟雲帆
葛磊蛟
张彦涛
王森
王建喜
SUN Yonghui;MENG Yunfan;GE Leijiao;ZHANG Yantao;WANG Sen;WANG Jianxi(College of Energy and Electrical Engineering,Hohai University,Nanjing 210098,China;School of Electrical and Information Engineering,Tianjin University,Tianjin 300072,China;China Electric Power Research Institute,Beijing 100092,China)
出处
《高电压技术》
EI
CAS
CSCD
北大核心
2023年第6期2239-2252,共14页
High Voltage Engineering
基金
国家自然科学基金(52277118)。
关键词
人工智能
微电网运行优化
数字孪生
瓶颈分析
技术趋势
应用展望
artificial intelligence
microgrid operation optimization
digital twin
bottleneck analysis
technology trend
application prospect
