低压台区分段线损率预测系统设计  

Design of Line Loss Rate Prediction System for Low Voltage Station Sections

作　　者：汤中壹 金杭晓 姚雅艳 周缘杰 陈瑜 TANG Zhongyi;JIN Hangxiao;YAO Yayan;ZHOU Yuanjie;CHEN Yu(Zhejiang Jinyun County Power Supply Company of State Grid Co.,Ltd.,Lishui 321400,China)

机构地区：[1]国网浙江省电力有限公司缙云供电公司,浙江丽水321400

出　　处：《自动化仪表》2022年第8期118-121,共4页Process Automation Instrumentation

摘　　要：针对低压台区供电数据流庞大且复杂,致使线损率预测准确率较低的问题,设计了基于B+搜索树算法的低压台区分段线损率预测系统。该设计改进了硬件拓扑结构,采用智能电表和通用无线分组业务(GPRS)通信技术优化了供电数据在源头上的采集与传输;引入B+搜索树算法,建立数据索引,筛选整理原始数据;优化B+搜索树建立过程,得到B+搜索树参数,作为索引参数;在线损率预测过程中,将预处理后的线损数据归一化;创新性地基于B+搜索树索引构建低压台区分段线损率预测模型,将数据集输入预测模型中,完成低压台区分段线损率预测。测试结果表明,设计系统的预测误差低于4.27%,显著提升了线损率预测的准确率,提高了供电企业的经济效益。To solve the problem of large and complex power supply data flow in low-voltage station area,which leads to low accuracy of line loss rate prediction,the line loss rate prediction system for low voltage station section based on B+search tree algorithm is designed.The hardware topology is improved,and the smart meter and general packet radio service(GPRS)communication technology are used to optimize the collection and transmission of power supply data at the source;the B+search tree algorithm is introduced to establish the data index and filter the original data;the B+search tree establishment process is optimized to obtain the B+tree parameters as index parameters;the pre-processed line loss data are normalized in the process of line loss rate prediction;the innovative prediction model is constructed based on the B+search tree index,and the data set is input into the prediction model to complete the prediction of line loss rate for the low voltage station section.The test results show that the prediction error of the designed system is less than 4.27%,which significantly improves the accuracy of line loss rate prediction and increases the economic efficiency of power supply enterprises.

关 键 词：B+搜索树 低压台区 线损率预测 分段线损 通用无线分组业务 供电数据流 

分 类 号：TH86[机械工程—仪器科学与技术]