摘要
针对网侧电流的电能质量问题,设计了一个并联型有源电力滤波器系统。该系统采用神经网络谐波检测方法,提高了检测的实时性和精度;补偿装置采用周期采样控制方法,便于实际应用;负载端加入隔离变压器,获得了更好的补偿效果。该方法具有精度高、延迟小、补偿效果好的优点,使得该有源电力滤波器系统更适合工程中的应用。MATLAB仿真结果验证了该系统的有效性和可行性。
For the power quality problem,a design of shunt active power filter system was proposed in the paper.The system uses neural network harmonic detection method to improve the real-time and accuracy of detection;its compensation device uses periodic sampling control,and ease to be applicated;load by adding isolation transformers,to obtain better compensation effect.The proposed method has high precision,low delay,and the benefits of a good compensation effect of active power filter system is more suitable for engineering applications.MATLAB simulation results validate the effectiveness and feasibility of the system.
出处
《电力系统及其自动化学报》
CSCD
北大核心
2012年第1期49-53,共5页
Proceedings of the CSU-EPSA
基金
国家科技部政府间科技合作项目(2009014)
上海市高等学校高地建设项目
关键词
谐波
有源电力滤波器
神经网络
补偿
总谐波畸变
harmonic
active power filter（APF）
neural network
compensation
total harmonic distortion（THD）
