摘要
电力交易数据机密性较强且数据量较大,导致电力交易数据中心通用数据调度效果较差。针对此问题,研究一种基于智能算法的电力交易数据中心通用数据调度方法。构建交易数据通用数据库,使用同态加密算法完成数据库加密。根据粒子群算法,设计交易数据调度模块。再使用关联规则挖掘算法实现通用数据自动调度服务。至此,完成电力交易数据中心通用数据调度方法的设计。实验结果显示:设计方法的数据承载力、稳定性较好,响应时间较短,能够为用户提供更现代化的服务,提升用户满意度。
The confidentiality of power transaction data is strong and the amount of data is large,resulting in poor general data dispatching effect of power transaction data center.To solve this problem,this paper studies a general data scheduling method of power trading data center based on intelligent algorithm.Build a general database of transaction data,and use homomorphic encryption algorithm to complete database encryption.According to the particle swarm optimization algorithm,the transaction data scheduling module is designed.Then the association rule mining algorithm is used to realize the general data automatic scheduling service.So far,the design of general data scheduling method for power trading data center has been completed.The experimental results show that the design method has good data carrying capacity,stability and short response time.It can provide users with more modern services and improve user satisfaction.
作者
陈玮
黄维芳
CEHN Wei;HUANG Weifang(Guangzhou Electric Power Trading Center,Guangzhou 510000,China)
出处
《自动化与仪器仪表》
2021年第11期131-133,共3页
Automation & Instrumentation
关键词
数据处理
电力系统
数据调度
服务查询
数据加密
信息管理
Data processing
Power system
Data scheduling
Service inquiry
Data encryption
Information management
