摘要
针对配电网缺少规划、管理不当、现有技术无法高效分析台区供电能力以及负荷过载情况的问题,文中研究出一套适用的解决方案,该方案基于云计算技术构建配电网台区负载大数据分析平台,从而实现对配电网台区负荷过载能力进行运算分析。为了便于对电路中负荷数据采集,在配电网用户端设立了传感器,使传感器存在于电网电路中形成阻抗—负载电路模型,然后,通过与从传感器获取的电路中阻抗与负载进行关联,确定配电网中每个台区配电变压器中负载曲线的均值。实验表明,文中方法的平均负载率为71.52%,整体上更加适用于对配电网台区的负荷过载能力进行分析。
Regarding the problem of the lack of planning,improper management of the distribution network,as well as the inability of the existing technology to efficiently analyze the power supply capacity of the station area and the overload situation.Therefore,this paper proposes a set of suitable solutions based on the big data analysis platform of the load of the distribution network station area built by cloud computing technology to realize the calculation and analysis of the load overload capacity of the distribution network.In order to facilitate the collection of load data in the circuit,a sensor is set up on the user side of the distribution network to make the sensor exist in the power grid circuit to form an impedance-load circuit model.Then,by correlating the impedance and the load in the circuit obtained from the sensor,the mean value of the load curve in the distribution transformer of each station in the distribution network is determined.Experiments show that the average load rate of this method is 71.52%,which is more suitable for analyzing the load overload capacity of the distribution network station area.
作者
王官涛
刘海泳
吴晓东
WANG Guan-tao;LIU Hai-yong;WU Xiao-dong(Shandong Power Company Binzhou Power Supply Company,Binzhou 256600,Shandong Province,China)
出处
《信息技术》
2021年第12期37-42,共6页
Information Technology
基金
国网山东省电力公司滨州供电公司科技项目(20-170103)。
关键词
配电网台区
负荷过载
传感器
大数据分析
负载率
distribution network station area
load overload
sensor
big data analysis
load rate