基于神经网络的配电网电能治理一体化系统  

Integrated System for Treatment of Electric Energy in Distribution Network Based on Neutral Network

作　　者：谢文亮 陈静[1,2] 宋兴宇[1] XIE Wenliang;CHEN Jing;SONG Xingyu(School of Automation,Wuhan University of Technology,Wuhan 430070,China;School of Electronic Information Engineering,Hankou University,Wuhan 430212,China)

机构地区：[1]武汉理工大学自动化学院,武汉430070 [2]汉口学院电子信息工程学院,武汉430212

出　　处：《电力系统及其自动化学报》2018年第11期133-139,共7页Proceedings of the CSU-EPSA

摘　　要：随着生产工业的发展,企业配电网的电能污染治理问题受到越发的重视。本课题组多年来针对电网无功补偿与谐波治理进行了广泛研究。在课题组前期研究基础上,设计了一种配电网无功补偿与谐波治理一体化的电能治理系统,并采用BP神经网络算法作为一体化系统的控制策略。同时在MATLAB平台上搭建一体化系统的仿真模型,实验验证了电能治理一体化系统方案的可行性,以及控制策略的良好控制效果。With the development of production industry,more and more attention is being paid to the treatment of power pollution in enterprise distribution networks.Our research group have extensively studied reactive power compensation and harmonic elimination for many years.On this basis,an integrated electric energy treatment system is designed,which can realize reactive power compensation and harmonic elimination;in addition,BP neutral network algorithm is adopted as its control strategy.Meanwhile,a simulation model is established on MATLAB platform to conduct simulation experiments,showing that this system is feasible,and the control strategy has a satisfying control performance.

关 键 词：无功补偿 谐波治理 神经网络 仿真验证 

分 类 号：TM614[电气工程—电力系统及自动化]