节点文献
算力综合能源系统中信息与能源技术的融合应用
Integration and Application of Information and Energy Technologies in Computing Power Integrated Energy Systems
【摘要】 随着数字化转型的加速和可再生能源的普及,算力综合能源系统(computing power integrated energy system,CPIES)作为一种新型能源系统框架,通过高效整合计算资源与能源资源,实现了能源生产、传输、存储、消费及信息处理的智能化管理。首先概述了CPIES的系统架构与关键组件、发展现状与趋势及算力与能源的互动机制。其次,深入分析信息通信技术、人工智能、大数据分析及物联网等技术与CPIES的融合基础,推动能源系统的智能化和高效化。进而,详细介绍信息与能源技术在CPIES中的应用,展示了其在提升能源利用效率等方面的潜力。最后,列举了国际先进的CPIES项目,识别出当前项目面临的挑战,并提出了相应的对策建议。研究成果不仅有助于推动CPIES的理论发展与实践应用,也为能源行业的数字化转型与可持续发展提供了新的思路与解决方案。
【Abstract】 The computing power integrated energy system(CPIES), as a new type of energy system framework, realizes the intelligent management of energy production, transmission, storage, consumption, and information processing by integrating computing and energy resources with the acceleration of digital transformation and the popularity of renewable energy. First, the system architecture and key components of the CPIES, development status and trend, and the interaction mechanism between computing power and energy are outlined. Second, an in-depth analysis of the basis for the integration of information and communication technology(ICT), artificial intelligence(AI), big data analysis, and the internet of things(Io T) with the CPIES is presented to promote the intelligence and efficiency of energy systems. Furthermore, the application of information and energy technologies in CPIES is described in detail, demonstrating their potential to enhance energy utilization efficiency and other aspects. Finally, advanced international CPIES projects are listed, the challenges faced by current projects are identified, and countermeasures are suggested. The research results not only help to promote the theoretical development and practical application of CPIES but also provide new ideas and solutions for the digital transformation and sustainable development of the energy industry.
【Key words】 computing power integrated energy systems(CPIES); information and energy technologies; artificial intelligence; big data analytics; internet of things;
- 【文献出处】 电力建设 ,Electric Power Construction , 编辑部邮箱 ,2025年02期
- 【分类号】TK01;TM73
- 【下载频次】158