摘要
为了提高谐波及有功电流检测的灵活性,提出了一种新型的基于自适应线性神经元结构的检测方法。通过线性神经元的自适应预测和滤波结构,对坐标变换后产生的直流量进行提取,直接分离负载电流基波正序、负序、零序及有功分量,并按不同的补偿目标进行多种的组合。通过仿真试验表明:算法能够对有源电力滤波器谐波电流、有功电流和不对称分量的综合补偿提供合理的参考电流,以实现有效补偿。
A new neural identification scheme for the current harmonic and active power currents extraction is proposed based on the adaptive linear neural filter.After coordinate transformation the fundamental positive,negative and zero sequence components of load current are extracted directly by Adaline filter to generate reference current under different objective.The validity and effectiveness of the process are confirmed by the simulation results,that is,synthetical compensation of APF for harmonic,active power current and unbalanced currents are provided.
出处
《电测与仪表》
北大核心
2011年第7期16-19,共4页
Electrical Measurement & Instrumentation
