摘要
基于云计算技术,采用改进遗传算法对智能电网调度系统进行建模与研究。通过搭建云计算平台系统,对基于云计算的智能电网调度系统模型任务调度模型进行搭建。确定各个子任务的适应度函数、选择函数、变异函数以及交叉函数,通过遗传迭代至误差允许范围内,得到数据范围内的最优解。最后,4种电网调度算法对10个工作任务的完成时间进行比较,结果表明,所建立的智能电网调度系统具有良好的工作效率。
Based on cloud computing technology,this paper uses improved genetic algorithm to establish and study the model of the smart grid scheduling system.Through the construction of the cloud computing platform system,the model task scheduling model of the smart grid scheduling system based on cloud computing is constructed.The fitness function,selection function,mutation function and variogram and cross function of each sub-task are determined,and the optimal solution within the data range is obtained by genetic iteration to the allowable error range.Finally,completion times of ten tasks by four kinds of grid scheduling algorithms are compared,and the results show that the smart grid scheduling system has good work efficiency.
作者
杨延昊
YANG Yanhao(School of Computer,National University of Defense Technology,Changsha 410072,Hunan,China)
出处
《电网与清洁能源》
2019年第9期7-11,共5页
Power System and Clean Energy
基金
声呐技术重点实验室基金资助(6142109180204)~~
关键词
智能电网
电网调度
云计算
电力系统
smart grid
grid scheduling
cloud computing
power system
