电网技术Issue(11)：3080-3087,8.DOI:10.13335/j.1000-3673.pst.2015.11.010
基于电网运行仿真大数据的知识管理和超前安全预警
Knowledge Management and Security Early Warning Based on Big Simulation Data in Power Grid Operation
摘要
Abstract
To promote the combination of massive amounts of information and energy security, this paper proposes a power grid security operation knowledge management method based on big simulation data for energy internet. Firstly establish a power grid operational state model considering weather based on big operation data; secondly apply SVM to divide power grid security operation knowledge into different hierarchies according to appearance of critical power flow interfaces; thirdly, apply clustering analysis method to cluster massive power grid operational states, form different fine operational rules, and establish a knowledge base. Finally, match real-time power grid operational states with historical operational states promptly, and achieve power grid security early warning fast and accurately. Applied in IEEE 9 power system and Guangdong power system, the method in the paper shows its effectiveness.关键词
能源互联网/大数据/电网安全运行知识/知识管理/超前安全预警Key words
energy internet/big data/power grid security operation knowledge/knowledge management/power grid security early warning分类
信息技术与安全科学引用本文复制引用
黄天恩,孙宏斌,郭庆来,温柏坚,王彬..基于电网运行仿真大数据的知识管理和超前安全预警[J].电网技术,2015,(11):3080-3087,8.基金项目
国家重点基础研究发展计划(973计划)项目(2013CB 228203)；国家自然科学基金创新研究群体科学基金项目(51321005)；南方电网科技项目(GDKJ00000058)。 The National Basic Research Program of China (973 Program)(2013CB228203) （973计划）
Foundation for Innovative Research Groups of the National Natural Science Foundation of China (51321005) （51321005）
Science and Technology Program of China Southern Power Grid (GDKJ00000058) （GDKJ00000058）
