摘要
随着电力系统的日益扩大和新能源的大量进入,电力系统负荷预测和调度优化遇到了新的考验。云计算技术凭借强大的计算能力,数据存储与处理优势为解决上述问题提供新思路。概述基于云计算电力系统负荷预测和调度优化方法,首先介绍电力系统云计算应用背景和优势,其次详细说明电力系统云计算负荷预测方法和电力系统云计算调度优化方法,目的是为了给实践工作带来一些帮助。
With the increasing expansion of the power system and the influx of new energy,load forecasting and scheduling optimization in the power system have encountered new challenges.Cloud computing technology,with its powerful computing capabilities and advantages in data storage and processing,provides new ideas for solving the above problems.The article provides an overview of load forecasting and scheduling optimization methods based on cloud computing in power systems.Firstly,the background and advantages of cloud computing applications in power systems are introduced.Secondly,the cloud computing load forecasting and scheduling optimization methods in power systems are explained in detail,with the aim of providing some assistance to practical work.
作者
张逸文
ZHANG Yiwen(Guodian Nanrui Nanjing Control System Co.,Ltd.,Nanjing 211106,China)
出处
《电工技术》
2025年第S1期672-673,676,共3页
Electric Engineering
关键词
云计算
电力系统
负荷预测
调度优化
机器学习
cloud computing
power system
load forecasting
scheduling optimization
machine learning
