| 引用本文: | 王 朋,张 迪,张勇军,等.新型电力系统数智化关键技术应用研究与展望[J].电力系统保护与控制,2025,53(6):175-187.[点击复制] |
| WANG Peng,ZHANG Di,ZHANG Yongjun,et al.Research and prospects for key digital-intelligent technology applications in new power systems[J].Power System Protection and Control,2025,53(6):175-187[点击复制] |
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| 摘要: |
| 数字信息技术与能源电力技术的深度融合推动电网应用场景与业务范畴创新，数智化技术成为新型电力系统构建与电力行业数智化转型的关键。首先，探究了新型电力系统数据采集、处理、传输、存储和利用全过程的特性，概述了各流程典型的数据研究方法。然后，分别总结分析了新型电力系统“源-网-荷-储”各个环节的典型业务场景，并对各场景中数智化关键技术应用现状与未来方向进行了论述。最后展望了未来电力数智化转型的创新业务场景，研判了构建信息安全体系、数据共享区块链平台、全域物联生态和电力行业专用大模型等电力数智化重点发展趋势。该研究为新型电力系统数智化技术迭代及应用提供理论依据与方向引导，推进电力低碳化、数字化转型。 |
| 关键词: 新型电力系统 数字化 数字技术 业务场景 人工智能 |
| DOI：10.19783/j.cnki.pspc.240637 |
| 投稿时间：2024-05-24修订日期：2024-10-25 |
| 基金项目:国家自然科学基金项目资助(52177085)；南方电网数字电网研究院有限公司创新项目资助(210000KK 52220036) |
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| Research and prospects for key digital-intelligent technology applications in new power systems |
| WANG Peng1,ZHANG Di2,ZHANG Yongjun2,GAN Lu1,ZENG Mengyu1,QIN Shaoji2,LIU Lin1 |
| (1. CSG Digital Grid Research Institute Co., Ltd., Guangzhou 510623, China; 2. School of Electric Power,
South China University of Technology, Guangzhou 510641, China) |
| Abstract: |
| The deep integration of digital information technology and power technology is driving innovation in power system applications and business domains, making digital-intelligence technology a key enabler for the construction of new power systems and the digital-intelligence transformation of the power industry. First, this paper explores the characteristics of the entire process of data acquisition, processing, transmission, storage, and utilization in new power systems, providing an overview of typical data research methods for each stage. Then it summarizes and analyzes typical business scenarios across the “generation-grid-load-storage” segments of new power systems, discussing the current state and future directions of key digital-intelligent technology applications in each scenario. Finally, this paper envisions innovative business scenarios for future power system digital-intelligent transformation, assessing key development trends such as the construction of an information security framework, data-sharing blockchain platforms, comprehensive IoT ecosystems, and industry-specific large AI models. This study provides theoretical foundations and strategic guidance for the iterative development and application of digital-intelligent technology in new power systems, promoting the low-carbon and digital transformation of the power industry. |
| Key words: new power system digitalization digital technology application scenario artificial intelligence |
