摘要
配电网规划基础数据来源复杂,数据量大,能否实现数据的有效集成,是配电网规划设计工作面临的首要问题。文章针对配电网规划基础数据集成问题,开展了数据集成关键技术研究。首先梳理了配电网数据现状与存在的问题,然后提出了基于"内存计算+事件驱动架构+大数据"的数据集成技术架构,同时给出数据集成4个环节的数据处理流程。最后依托一体化电网规划设计平台,通过试点验证了数据集成技术的有效性和实用性。
Amount of information data required for distribution network planning is very large and complex. Integration of these data is a principal problem to distribution network planning. In this paper, data integration technology is researched to solve the problem. Firstly, present situation and existing problems about distribution network data are sorted out. Secondly, data integration scheme based on ＂in memory ＋ event driven architecture ＋ big data＂ and corresponding key technologies are proposed, including four data processing link. Finally, supported by distribution network planning platform, validity and practicability of data integration is verified with a pilot project.
出处
《电网技术》
EI
CSCD
北大核心
2016年第7期2199-2205,共7页
Power System Technology
关键词
配电网规划设计平台
数据集成
事件驱动架构
大数据
数据抽取
数据校验
数据融合
数据化简
distribution network planning platform
data integration
event driven architecture
big data
data extraction
data verification
data fusion
data simplification
