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新型电力系统中的大模型驱动技术:现状、机遇与挑战

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建设新型电力系统是实现社会、经济高质量发展的重要基石,以新一代通用人工智能为主导的信息化技术与能源电力科学深度耦合,为新型电力系统的数字化转型工作提供了重要保障.为了探究电力系统在大模型时代潮流下的发展方向,该文首先系统梳理了当前电力系统的数智化发展现状以及在新的场景需求下遇到的难点问题.然后重点探讨了以多模态大模型为代表的具备深度场景解析和语言描述能力的大模型技术在电力系统中的应用前景,并分析了其在几个典型场景下的相关应用成果,证明大模型技术可行性的同时,进一步总结了大模型技术在相关电力场景所面临的机遇与挑战性问题.最后对未来大模型技术如何与电力系统实现紧密融合做了展望与建议.该研究成果有望为新型电力系统数字化转型过程中的数智化发展提供参考,助力能源电力领域提质增效.
Large-model Drive Technology in New Power System:Status,Challenges and Prospects
The construction of a new power system is an important cornerstone to achieve high-quality social and eco-nomic development,and the information technology led by a new generation of general artificial intelligence is deeply coupled with energy and power science,providing an important guarantee for the digital transformation of the new power system.In order to explore the development direction of the power system under the tide of the large-model era,this paper firstly systematically combs the current development status of the digital intelligence of the power system and the difficult problems encountered under the new scenario requirements.Then,the application prospect of large-model technology with deep scene analysis and language description,represented by multi-modal large-model,in power system is discussed.The application results in several typical scenarios are analyzed,the feasibility of large-model technology is proved,and the opportunities and challenges faced by large-model technology in relevant power scenarios are further summarized.Finally,some suggestions on how to integrate large-model technology closely with power system are proposed.The re-search results are expected to provide a reference for the development of digital intelligent technology in the process of digital transformation of new power systems,helping to improve the quality and efficiency of energy and power field.

new power systemartificial intelligencemulti-modallarge modelparallel intelligenceinterpretabilityelectric power safety

李刚、方鸿、刘云鹏、杨强、赵晓林、汪佐宪

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华北电力大学计算机系,保定 071003

复杂能源系统智能计算教育部工程研究中心,保定 071003

华北电力大学电力工程系,保定 071003

浙江大学电气工程学院,杭州 310027

中国电力科学研究院有限公司,北京 100192

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新型电力系统 人工智能 多模态 大模型 平行智能 可解释性 电力安全

国家自然科学基金联合基金

U23B20135

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(7)