摘要
为提供低时延、动态化的差异化服务,满足用户需求,提出云计算背景下电力智能信息数据网架构设计方案。数据网集合电网数据预测和业务网两部分,数据预测参考分类最大负荷、总负荷、分类电量和总电量4类预测量,选取1个作为预测起点,计算得到另外3个值,以并行的方式完成信息整理和负荷预测;业务网以业务实现层、软件定义层、基础资源层3个层次间的相互辅助,为数据网提供高效的数据转换与调用。仿真实验表明,所设计电力数据网得出的负荷值与真实值拟合程度高、均衡负载效果好,能够同时容纳更多的用户,方便工作人员智能操作。
In order to provide low delay and dynamic differentiated services and meet the needs of users,the architecture design scheme of power intelligent information data network under the background of cloud computing is proposed.The data network consists of two parts:power grid data prediction and business network.The data prediction refers to the four types of pre measurement of classified maximum load,total load,classified power and total power.One is selected as the prediction starting point,and the other three values are calculated to complete the information sorting and load prediction in a parallel manner.The service network provides efficient data conversion and call for the data network by mutual assistance among the three layers of service implementation layer,software definition layer and basic resource layer.The simulation results show that the load value obtained by the designed power data network has a high degree of fitting with the real value,has a good load balancing effect,can accommodate more users at the same time,and is convenient for the intelligent operation of staff.
作者
李磊
周正
陈家璘
柯宏宇
姚渭箐
LI Lei;ZHOU Zheng;CHEN Jia-lin;KE Hong-yu;YAO Wei-jing(Information&Communication Branch of State Grid Hubei Electric Power Company,Wuhan 430070 China)
出处
《自动化技术与应用》
2024年第6期176-180,共5页
Techniques of Automation and Applications
关键词
云计算
电网负荷
电力系统
智能信息
最大负荷
cloud computing
power grid load
electric power system
intelligent information
maximum load
