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人工智能在新型电力系统智能传感、通信与数据处理领域应用

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新型电力系统以清洁能源为主体,借助海量数据和计算技术实现电源与负荷间的动态平衡,其核心特征是系统的可观、可测、可控.人工智能作为重要技术支撑,能够在能量流和信息流深度融合的基础上,提升电网智能感知水平,优化通信网资源利用和系统数据处理能力.该文主要介绍了新型电力系统的形态、特征和机理,强调了在新形势下的电网数字化转型迫切需求,并对人工智能技术在电力传感、电力通信和电力大数据处理领域的研究现状和应用情况进行梳理分析,探究其促进新型电力系统各环节电气量、状态量、环境量的全面感知、即时通信与数据分析,有力支撑电力高级应用.最后对人工智能技术在新型电力系统建设中面临的挑战进行了总结和技术发展展望.
Applications of Artificial Intelligence in Sensing,Communication,and Data Processing in the New Power System
The new power system is mainly based on clean energy and utilizes massive data and computing technology to balance power sources and loads dynamically.Its core feature is the system's observability,measurability,and controlla-bility.Artificial intelligence,as an important technological support,can enhance the intelligent perception level of the power grid and optimize the utilization of communication network resources and system data processing capabilities based on deep integration of energy flow and information flow.We mainly introduce the form,characteristics,and mech-anism of the new power system,emphasizes the urgent need for digital transformation of the power grid in the new situation,and analyze the research status and application of artificial intelligence technology in the fields of power sensing,power communication,and power big data processing.Moreover,we explore its promotion of comprehensive perception,instant communication,and data analysis of electrical quantity,state quantity,and environmental quantity in each link of the new power system,powerfully supporting advanced applications of electricity.Finally,a summary and outlook on the challenges faced by artificial intelligence technology in constructing new power systems are presented.

artificial intelligencenew power systemmachine learningintelligent sensingpower communicationdata augmentation

杨挺、耿毅男、郭经红、梁云、王成山

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天津大学电气自动化与信息工程学院,天津 300072

国网智能电网研究院有限公司电力传感技术研究所,北京 102211

人工智能 新型电力系统 机器学习 智能传感 电力通信 数据增强

国家重点研发计划国家自然科学基金国家自然科学基金天津市自然科学基金重点项目

2022YFB2403800623713386197130521JCZDJC00640

2024

高电压技术
中国电力科学研究院 中国电机工程学会

高电压技术

CSTPCD北大核心
影响因子:2.32
ISSN:1003-6520
年,卷(期):2024.50(1)
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