基于RBF人工神经网络的变电站无功补偿装置自动化控制方法  

Automatic control method of reactive power compensation device in substation based on RBF artificial neural network

作　　者：刘辉 LIU Hui(State Grid Suining Electric Power Company, Sichuan Suining 629000, China)

机构地区：[1]国网遂宁供电公司,四川遂宁629000

出　　处：《工业仪表与自动化装置》2021年第6期34-38,共5页Industrial Instrumentation & Automation

摘　　要：变电站无功补偿点电压受到无功补偿容量的影响,导致低压控制补偿投入电压比过高,对此,研究基于RBF人工神经网络的变电站无功补偿装置自动化控制方法。设置变电站无功补偿容量,并根据容量的大小调整变电站在近电源范围的超调量,以此为基础设定无功补偿装置自动化控制间隔,建立RBF人工神经网络补偿装置自动化控制动作逻辑,完成基于RBF人工神经网络的变电站无功补偿装置自动化控制方法设计。实验结果表明,该方法在控制周期在10~50 s的区间内,普遍维持在2.0 kV,在50 s后呈现出小幅度的上升趋势,控制效果较为稳定,可应用于实际。The voltage of reactive power compensation point in substation is affected by reactive power compensation capacity,which leads to high input voltage ratio of low voltage control compensation.Therefore,the automatic control method of reactive power compensation device in Substation Based on RBF artificial neural network is studied.The reactive power compensation capacity of the substation is set,and the overshoot of the substation near the power supply range is adjusted according to the capacity.On this basis,the automatic control interval of the reactive power compensation device is set,the automatic control action logic of the RBF artificial neural network compensation device is established,and the design of the automatic control method of the substation reactive power compensation device based on the RBF artificial neural network is completed.The experimental results show that the control cycle of this method is generally maintained at 2.0 kV in the range of 10~50 s,and it shows a small rising trend after 50 s,and the control effect is relatively stable,which can be applied to practice.

关 键 词：RBF 人工神经网络 变电站 无功补偿装置 自动化 控制 

分 类 号：TM714.3[电气工程—电力系统及自动化]