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电力系统多源异构数据混合式存储方式研究 被引量:6

Research on Hybrid Storage of Multi-source Heterogeneous Data in Power System
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摘要 当今电力系统的数据量呈爆炸式增进趋势,电力行业迎来了大数据时期。大数据具有广泛的应用前景,但也面临着一些问题,例如数据异质性和数据的分散。在电力调度控制系统中,为了实现有效地利用控制大数据,有必要通过多源异构的数据处理方法控制多源异构数据,因此研究了电力系统多源异构数据混合式存储,构建了统一的数据模型和全景控制数据,这对多源异种数据配置和数据交融手段的研磋探索具有重大意义。 Nowadays, the data volume of power system is increasing explosively, and the power industry has ushered in the era of big data. Big data has a wide application prospect, but it also faces some problems, such as data heterogeneity and data dispersion. In power dispatching control system, in order to use control big data effectively, it is necessary to control multi-source heterogeneous data through multi-source heterogeneous data processing method. Therefore, the hybrid storage of multi-source heterogeneous data in power system was studied, and the unified data model and panoramic control data were constructed, which is of great significance to the research and exploration of multi-source heterogeneous data configuration and data blending means.
作者 黄欣 吴伟杰 张伊宁 赵敏彤 Huang Xin;Wu Weijie;Zhang Yining;Zhao Mintong(Power Grid Planning and Research Center,Guangdong Power Grid Co.,Ltd.,Guangzhou 510080,China)
出处 《机电工程技术》 2021年第1期77-79,共3页 Mechanical & Electrical Engineering Technology
基金 中国南方电网有限责任公司科技项目(编号:GDKJXM20190387)。
关键词 电力调度控制系统 多源异构数据:ETL模型 缺失数据填补:字符串匹配 power dispatching control system multi-source heterogeneous data:ETL model missing data filling:string matching
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