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面向智能电网应用的电力大数据关键技术 被引量:318

Key Technologies of Electric Power Big Data and Its Application Prospects in Smart Grid
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摘要 大数据为智能电网的发展注入新的活力,掌握电力大数据的关键技术对电力行业的可持续发展和坚强智能电网的建立具有重要意义。在分析大数据、云计算、智能电网三者关系的基础上,给出具有通用性的电力大数据平台总体架构,并从电力大数据的集成管理技术、数据分析技术、数据处理技术、数据展现技术4个方面深入探讨符合电力企业发展需求的大数据关键技术的选择。最后通过3个典型案例,分析了电力大数据关键技术在新能源并网、风电机组安全评估、电网灾难预警上的应用。大数据关键技术在电力行业的广泛应用必将带来行业的变革,将智能电网的发展推向新的阶段。 Application of big data techniques in power system will contribute to the sustainable development of power industry companies and the establishment of strong smart grid. This paper introduced a universal framework of electric power big data platform, based on the analysis of the relationships among the big data, cloud computing and smart grid. Then key techniques of electric power big data were discussed in four aspects, including big data management techniques, big data analyzing techniques, big data processing techniques and big data visualization techniques. Finally, the paper presented three typical application examples of electric power big data techniques which were new and renewable energy integration, wind turbine condition monitoring and assessment, power system catastrophic failure prediction. The application of big data technologies in smart grid will bring deep change and brilliant future to power system, and will promote the development of power industry to a new generation.
作者 彭小圣 邓迪元 程时杰 文劲宇 李朝晖 牛林 PENG Xiaosheng, DENG Diyuan, CHENG Shijie, WEN Jinyu, LI Zhaohui, NIU Lin(1. School of Electrical and Electronic Engineering, Huazhong University of Science and Technology, Wuhan 430074, Hubei Province, China; 2. State Grid of China Technology College, Jinan 250002, Shandong Province, China)
出处 《中国电机工程学报》 EI CSCD 北大核心 2015年第3期503-511,共9页 Proceedings of the CSEE
基金 国家自然科学基金项目(51228701)
关键词 大数据 云计算 智能电网 数据集成 数据分析 数据处理 数据展现 big data cloud computing smart grid data integration data analysis data processing data visualization
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共引文献4727

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引证文献318

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