摘要
本文详细介绍了基于模糊神经网络控制的磁控电抗器本体及控制系统的结构原理、工作模式。通过仿真分析及实验平台模拟判断该电抗器在电力系统中的应用性能,并采取实物挂网方式验证了该电抗器的使用效果,通过仿真及设备试运行可得出该电抗器在实现无功补偿的连续可调,在更加精准快速地实现系统电压及无功控制方面更具优势。
： In this paper, the structure principle and working mode of magnetic valve control compensating reactor based on fuzzy neural network control system main-body and control system are introduced in detail. The application performance of the reactor in power system is judged through simulation analysis and experimental platform simulation and the actual application effect of the reactor is verified by way of operation in the real network. It is concluded through simulation and operation that the reactor possesses the advantages in the field of achieving continuous adjustment of reactive power compensation and of achieving rapidly and accurately system voltage and reactive power compensation.
作者
郭磊
张道乾
寇晓适
郝建国
阎吉
程晓晓
魏巍
GUO Lei;ZHANG Daoqian;KOU Xiaoshi;HAO Jianguo;YAN Ji;CHENG Xiaoxiao;WEI Wei(State Grid HAEPC Electric Power Research Institute, Zhengzhou 450052, China;State Grid HAEPC, Zhengzhou 450003, China;THX Technology Co., Ltd., Beijing 100000, China;State Grid Sanmenxia Power Supply Company, Sanmenxia 472000, China)
出处
《电力电容器与无功补偿》
北大核心
2017年第6期28-32,38,共6页
Power Capacitor & Reactive Power Compensation
关键词
磁控电抗器
模糊神经网络控制
无功补偿
磁阀
控制策略
magnetic valve control reactor
fuzzy neural network control system
reactive power compe-nsation
magnetic valve
control strategy
