Design and Implementation of New Energy Power Prediction System for Power System

被引:0
作者
Chen, Jilin [1 ]
Zhao, Min [2 ]
Tian, Fang [1 ]
Huang, Yanhao [3 ]
机构
[1] China Elect Power Res Inst, Eectr Power Syst Res Inst, Beijing, Peoples R China
[2] China Elect Power Res Inst, State Grid Simulat Ctr, Beijing, Peoples R China
[3] China Elect Power Res Inst, Power Syst Res Inst, Beijing, Peoples R China
来源
2024 4TH INTERNATIONAL CONFERENCE ON MACHINE LEARNING AND INTELLIGENT SYSTEMS ENGINEERING, MLISE 2024 | 2024年
关键词
New energy; power prediction; microservices; visualization;
D O I
10.1109/MLISE62164.2024.10674552
中图分类号
TP18 [人工智能理论];
学科分类号
081104 ; 0812 ; 0835 ; 1405 ;
摘要
At present, as the proportion of new energy generation continues to increase significantly, traditional modeling and analysis of uncertainty factors are difficult to adapt to the online analysis requirements for high proportion new energy power systems, posing a huge challenge to early warning of scheduling operations. This article studies the probability distribution prediction technology of new energy power, designs and implements a new energy probability prediction system, and displays the distribution of future new energy power, including wind power and photovoltaic power, in the monitoring interface, providing more comprehensive information for power system regulation and decision-making.
引用
收藏
页码:470 / 473
页数:4
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