摘要
传统电力系统能量调度模型存在数据信息化处理能力有限、调度智能决策水平不稳定等弊端。为解决上述问题,提出一种云平台下新型电力系统能量备用实时调度模型。在电力系统大数据框架上,通过安装设置备用虚拟机的方式,确定能量数据的云存储类型,完成系统备用云平台的搭建。在此基础上,通过优化实时调度框架的方式,确定调度剪枝规则,并对系统数据的调度分支界定流程进行完善,实现新型电力系统能量备用实时调度模型的搭建。分析对比实验结果可知,与传统模型相比,应用云平台下型电力系统能量备用实时调度模型后,数据信息化处理能力提升25%、调度智能决策水平提升20%。
The traditional power system scheduling model has the disadvantages of limited data processing capability and unstable decision-making level.In order to solve the above problems,a new real-time scheduling model of energy reserve for power system under cloud platform is proposed.On the large data frame of the power system,by setting up the standby virtual machine,the cloud storage type of the energy data is determined,and the system backup cloud platform is built.On this basis,the scheduling pruning rules are determined by optimizing the real-time scheduling framework,and the flow of the scheduling branch of the system data is perfected to achieve the construction of a new power system energy reserve real-time scheduling model.Comparing with the experimental results,we can see that,compared with the traditional model,using the energy reserve real-time scheduling model of the cloud platform type power system,the data information processing capability is raised by 25% and the scheduling intelligence decision level is raised by 20%.
作者
罗弦
廖荣涛
查志勇
王逸兮
焦尧毅
LUO Xian;LIAO Rong-tao;ZHA Zhi-yong;WANG Yi-xi;JIAO Yao-yi(Information & Communication Branch at Hubei epc,Wuhan 430000,China)
出处
《电子设计工程》
2019年第2期175-178,184,共5页
Electronic Design Engineering
关键词
能量备用
实时调度
虚拟机
存储类型
剪枝规则
分支定界
energy reserve
real-time scheduling
virtual machine
storage type
pruning rule
branch and bound
