基于数据分析技术的高精度负荷预测与电网智能断面调控  

High-precision load forecasting and intelligent section control of power grid based on data analysis technology

作　　者：张建国 常倩 ZHANG Jianguo;CHANG Qian(China Petroleum Group Electric Energy Co.,Ltd.,Daqing 163453,China)

机构地区：[1]中国石油集团电能有限公司,黑龙江大庆163453

出　　处：《黑龙江电力》2022年第2期155-159,166,共6页Heilongjiang Electric Power

摘　　要：针对电力系统数据分析技术,分析基于循环神经网络的长短期记忆结构,阐述电力负荷预测原理和方法,制定基于长短期记忆高精度预测流程。同时,对互联系统联络线功率交换进行分析,提出智能断面控制策略,建立考虑联络线功率的调度模型,对所提的负荷预测以及联络线功率控制模型进行仿真分析,验证所提方法的有效性。Aiming at the data analysis technology of power system,this paper analyzes the long-term and short-term memory structure based on cyclic neural network,expounds the principle and method of power load forecasting,and formulates the high-precision forecasting process based on long-term and short-term memory.At the same time,the power exchange of interconnection system tie-line is analyzed,the intelligent section control strategy is proposed,the scheduling model considering tie-line power is established,and the proposed load forecasting and tieline power control model are simulated to verify the effectiveness of the proposed method.

关 键 词：数据分析 负荷预测 断面调控 联络线功率 

分 类 号：TM862[电气工程—高电压与绝缘技术] TM727