摘要
文章提出一种基于云计算的电力系统电压无功补偿自动调节方法,该方法利用分布式数据采集与云端存储技术构建全网监测数据库,采用机器学习算法优化无功补偿策略,并通过云边协同实现补偿设备的智能控制。通过仿真实验证实,所提方法能有效提高电压合格率,降低系统网损,减少设备调节次数,具有良好的适应性和稳定性。
An automatic adjustment method of voltage and reactive power compensation in power system based on cloud computing is proposed.This method uses distributed data acquisition and cloud storage technology to build a whole network monitoring database,uses machine learning algorithm to optimize reactive power compensation strategy,and realizes intelligent control of compensation equipment through cloud edge collaboration.The simulation results show that the proposed method can effectively improve the voltage qualification rate,reduce the system network loss and reduce the number of equipment adjustments,and has good adaptability and stability.
作者
岳重辰
蔡学晨
YUE Zhongchen;CAI Xuechen(State Grid Liaoning Electric Power Co.,Ltd.,Dalian Power Supply Company,Dalian 116000,China)
出处
《通信电源技术》
2024年第19期61-63,共3页
Telecom Power Technology
关键词
云计算
电压无功补偿
机器学习
cloud computing
voltage reactive power compensation
machine Learning
