摘要
为践行低碳排放的政策,我国需要以新能源作为主导,逐步建立更加先进的供电系统。然而,分布式负荷和电源的大规模接入使得电力系统面临可靠性、高效性和安全性难以保证等难题,新能源具有不可控性和输出不稳定性的特点,导致系统的灵活性下降,同时系统的调节控制因分布式的特性变得更加复杂。针对这些问题,进行了电力系统优化控制研究,主要研究了分布式电源运行控制的过程,提出了以能量层和信息层相结合的云边协同计算优化框架。
In order to practice the policy of low-carbon emission,China needs to take new energy as the leading source and gradually establish a more advanced power supply system.However,the large-scale access of distributed loads and power sources makes the power system face difficulties in reliability,efficiency and security,etc.The new energy sources have the characteristics of uncontrollability and output instability,which lead to the decrease of system flexibility,while the regulation and control of the system becomes more complicated due to the distributed characteristics.In response to these problems,the article conducts a study on power system optimization and control,mainly investigating the process of distributed power operation and control,and proposes a cloud-side collaborative computing optimization framework that combines the energy layer and information layer.
作者
王琦焕
WANG Qihuan(State Grid Quanzhou Power Supply Company,Quanzhou 362000,China)
出处
《通信电源技术》
2023年第12期100-102,共3页
Telecom Power Technology
关键词
云边协同计算
频率控制
电网优化
cloud edge collaborative computing
frequency control
power grid optimization
