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基于决策树自标识的电网大数据质量控制算法 被引量:4

Power grid big data quality control algorithm based on decision tree self⁃identification
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摘要 为降低电网大数据在既定控制时间内的线性损耗量,实现电力信息之间的稳定负荷协调,提出基于决策树自标识的电网大数据质量控制算法。按照电网数据的实际挖掘需求,确定大数据结构属性的基本度量条件,联合自标识决策关联规则,建立基于数据自标识处理的电网决策树。设置直驱永磁电机,通过获取输出控制环中大数据传输参量的方式,求解电子控制方程,完成基于决策树自标识电网大数据质量控制算法的应用。实验结果表明,与PSCAD电网信息统筹模型相比,文中算法下电网大数据的最小线损量降低至3.2×10^7 T,最大线损量也仅达到7.8×10^7 T,实现在既定检测时长内对电网大数据线性损耗量的有效控制,解决了电力信息间稳定负荷协调能力较差的问题。 In order to reduce the linear loss of power grid big data in the given control time and realize the stable load coordination among power information,a power grid big data quality control algorithm based on decision tree self⁃identification was proposed.According to the actual mining requirements of power grid data,the basic measurement conditions of big data structure attributes were determined,and the self⁃identification decision association rules were combined to establish a power grid decision tree based on data self⁃identification processing.A direct⁃drive permanent magnet motor is set up to solve the electronic control equation by obtaining the large data transmission parameters of the output control loop,and the application of the self⁃identified grid big data quality control algorithm based on decision tree is completed.Experimental results show that compared with the information as a whole the PSCAD grid model,the proposed algorithm under the large power grid data of minimum line loss are decreased to 3.2×10^7 T,the largest amount of line loss also can only achieve 7.8×10^7 T,implementation within the established test length of grid data of effective control of the linear wastage,solve the power information of the poor coordination between stable load.
作者 孙小虎 张亚平 夏同飞 李志 SUN Xiaohu;ZHANG Yaping;XIA Tongfei;LI Zhi(State Grid Economic and Technology Research Institute Co.,Ltd.,Beijing 102209,China;Anhui Jiyuan Software Co.,Ltd.,Hefei 230088,China)
出处 《电子设计工程》 2020年第22期61-64,69,共5页 Electronic Design Engineering
基金 国家电网有限公司科技项目(B3441618K002)。
关键词 决策树自标识 电网大数据 质量控制 属性度量 决策规则 永磁电机 控制方程 decision tree self⁃identification power grid big data quality control attribute measurement decision rules permanent magnet motor governing equation
作者简介 孙小虎(1978-),男,北京人,高级工程师。研究方向:电网工程数据、遥感数据等。
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