基于电力大数据的供电重点园区电容量控制模型  

Electric Capacity Control Model of Key Power Supply Parks Based on Electric Power Big Data

作　　者：陆嘉铭 奚增辉 王卫斌 姚嵘 洪祎祺 LU Jiaming;XI Zenghui;WANG Weibin;YAO Rong;HONG Yiqi(State Grid Shanghai Municipal Electric Power Company,Shanghai 200122,China)

机构地区：[1]国网上海市电力公司,上海200122

出　　处：《微型电脑应用》2023年第9期181-184,共4页Microcomputer Applications

摘　　要：目前电容量控制方法存在最佳储能容量低、总收益增加量小问题。提出基于电力大数据的供电重点园区电容量控制模型构建方法。采用低秩矩阵补全方法对电力大数据进行填补处理。在经济学基本原理和最优化理论的基础上建立供电重点园区电容量控制模型,实现供电重点园区电容量的控制。实验结果表明,本文方法的最佳储能容量高、总收益增加量大。The current capacity control methods have the problems of low optimal storage capacity and small increase of total revenue.This paper proposes a power capacity control model construction method for key power supply parks based on power big data.The low-rank matrix completion method is used to fill power big data.Based on the basic principles of economics and optimization theory,the power capacity control model is established to control the power capacity of key power supply parks.Experimental results show that the proposed method has high optimal energy storage capacity and a large increase in total revenue.

关 键 词：电力大数据 供电重点园区 缺失数据填补 电容量控制模型 

分 类 号：TM715[电气工程—电力系统及自动化]