神经网络控制APF综合治理研究  

Research on Integrated Control of Neural Network Control APF

作　　者：周军[1] 徐咏盛 李曙光[1] ZHOU Jun;XU Yongsheng;LI Shuguang(Northeast Electric Power University,Jilin 132012,China)

机构地区：[1]东北电力大学

出　　处：《吉林电力》2019年第3期24-27,共4页Jilin Electric Power

摘　　要：针对分布式新能源、电动汽车以及各种储能装置的大量接入,给低压配电网带来三相不平衡及电网谐波等电能质量问题.提出一种基于小脑神经网络(CMAC)与比例积分(PI)算法相结合控制的有源电力滤波器(APF)控制方法,对低压配电网中的三相不平衡及谐波等问题进行了有效治理。仿真结果表明.该控制方法对治理低压配电网三相不平衡与谐波问题效果明显,克服了网侧电流存在突波的现象。In order to solve the problem of three-phase imbalance and harmonic wave in low-voltage distribution network caused by the massive access of distributed new energy,electric vehicles and various energy storage devices. A control method of active power filter (APF) is proposed by combining CMAC neural network and PI algorithm to realize the effective treatment of three-phase unbalance and harmonic problems in low-voltage distribution network. The simulation results show that the control method has obvious effects on simultaneously controlling the threephase unbalance and harmonic problems of the low-voltage distribution network. Overcome the phenomenon that there is a surge in the current on the grid side. Improve APF compensation ability.

关 键 词：低压配电网 三相不平衡 谐波 小脑模型神经网络 有源电力滤波器 

分 类 号：TM727[电气工程—电力系统及自动化]