摘要
重点研究智能调度算法、实时通信技术、安全技术以及协同调度技术等,并深入探讨电力调度与通信技术的融合。通过构建基于深度学习的负荷预测模型,智能调度算法与实时通信技术的有效结合,能够显著提升电力调度系统的整体性能和安全性。研究内容能够为电力系统智能化、自动化、高效运行提供一定的理论基础和技术支持,并为未来电力系统的发展提供新的思路和方向,有助于推动电力调度技术的提升。
Focus on intelligent scheduling algorithm,real-time communication technology,security technology and collaborative scheduling technology,and deeply discuss the integration of power dispatching and communication technology.By constructing a load forecasting model based on deep learning,the effective combination of intelligent scheduling algorithm and real-time communication technology can significantly improve the overall performance and security of power dispatching system.The research content can provide some theoretical basis and technical support for the intelligent,automatic and efficient operation of power system,and provide new ideas and directions for the future development of power system,which is helpful to promote the promotion of power dispatching technology.
作者
杨韬
YANG Tao(State Grid Shanxi Electric Power Company Datong Electric Power Supply Company,Datong 037008,China)
出处
《通信电源技术》
2024年第16期79-81,共3页
Telecom Power Technology
关键词
电力调度
通信技术
智能调度算法
实时通信
electric power dispatching
communication technology
intelligent scheduling algorithm
real-time communication
