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摘要
本研究聚焦生成式人工智能助力新型电力系统发展。通过梳理新型电力系统内涵,分析其在电力规划、运行控制、设备运维等方面应用现状,探讨其对新型电力系统产业链从发电、输配到用户侧全环节的深度赋能作用,研判未来“人工智能+电力”技术融合创新、多能源场景耦合拓展、跨产业链协同共进的发展趋势。结合中国能源结构转型与电力市场改革实际,提出强化政策引导、攻关核心技术、完善产业生态、培育交叉人才的系统性发展建议,旨在为中国利用生成式人工智能推动新型电力系统建设提供决策参考,助力能源绿色低碳、安全高效转型。
Abstract
This study focuses on how generative AI can drive the development of next-generation power systems. By clarifying the core concepts of these systems and analyzing their current applications in power planning, operational control, and equipment maintenance, we explore their transformative impact across the entire power industry chain—from generation and transmission to end-user applications. The research also examines emerging trends in technological innovation, multi-energy scenario integration, and cross-industry collaboration. Grounded in China’s energy transition and power market reforms, the study proposes systematic recommendations: strengthening policy guidance, advancing core technologies, optimizing industrial ecosystems, and cultivating interdisciplinary talent. These insights aim to inform policy decisions for leveraging generative AI in building next-generation power systems, ultimately facilitating a green, low-carbon, safe, and efficient energy transformation.
关键词
Key words
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方琳,赵震.
生成式人工智能支撑新型电力系统发展现状及中国策略研究[J].
科技创新与工程, 2025, 2(11): 22-24 DOI:10.12349/tie.v2i11.8696
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