摘要
针对传统电力调度工作调度数据效率低和系统运行速度慢的问题,通过融入机器人流程自动化技术对电力调度系统进行改进。运用网络地址转换技术实现了电力调度信息的网址转换,设计图形用户界面增强了控制器与界面视图的联系性。采用改进深度信念网络算法将调度模型与算法模型相结合,提高了调度能力。试验结果表明,调度效率最大为46.1kW/h,算法运行速度最高为8.1MB/s。所提方法在电力调度工作中具有重要的研究意义。
Aiming at the problems of low data efficiency and slow system operation in traditional power dispatching work,the power dispatching system was improved by incorporating robotic process automation(RPA)technology.The website conversion of power dispatching information was realized through network address translation(NAT)technology.A graphical user interface(GUI)was designed to enhance the connection between the controller and the interface view.The improved depth belief network(DBN)algorithm was used to combine the scheduling model with the algorithm model to improve the scheduling ability.The experimental results show that the maximum scheduling efficiency is 46.1 kW/h and the maximum running speed of the algorithm is 8.1 MB/s.The method has important research significance in power dispatching work.
作者
江志辉
季铮铮
谈叶月
范震
Jiang Zhihui;Ji Zhengzheng;Tan Yeyue;Fan Zhen(State Grid Nantong Power Supply Company,Nantong Jiangsu 226006,China;Jiangsu Electric Power Information Technology Co.,Ltd.,Nanjing Jiangsu 210000,China)
出处
《电气自动化》
2023年第1期32-35,38,共5页
Electrical Automation
关键词
电力调度系统
机器人流程自动化技术
网络地址转换技术
图形用户界面交互设计
power dispatch system
robotic process automation(RPA)technology
network address translation(NAT)technology
graphical user interface(GUI)interactive design
