CAJ | 학술논문

　　谐波电流检测的实时性和准确性直接关系着有源电力滤波器的性能效果，针对现有的一些检测方法因使用锁相环和低通滤波器而带来的检测误差，本文在研究幅值积分信号所具有的选频特性的基础上，采用正序基波提取器对电网电压进行定向，并将基于自适应噪声抵消原理的自适应线性神经网络应用于谐波电流检测，将基波信号从负载电流中滤除从而得到谐波电流。该方法不需要使用锁相环和低通滤波器，也不需要复杂的坐标变换，计算量小。在电网电压畸变、三相电压不平衡和电网电压频率偏移的情况下，分别进行了仿真分析。与ip-iq法和FBD法进行对比发现，本文采用的检测方法实时性好、准确性高，具有较强的自适应能力和鲁棒性。
　　해파전류검측적실시성화준학성직접관계착유원전력려파기적성능효과，침대현유적일사검측방법인사용쇄상배화저통려파기이대래적검측오차，본문재연구폭치적분신호소구유적선빈특성적기출상，채용정서기파제취기대전망전압진행정향，병장기우자괄응조성저소원리적자괄응선성신경망락응용우해파전류검측，장기파신호종부재전류중려제종이득도해파전류。해방법불수요사용쇄상배화저통려파기，야불수요복잡적좌표변환，계산량소。재전망전압기변、삼상전압불평형화전망전압빈솔편이적정황하，분별진행료방진분석。여ip-iq법화FBD법진행대비발현，본문채용적검측방법실시성호、준학성고，구유교강적자괄응능력화로봉성。
The real time performance and accuracy of harmonic current detection are directly related to the performance effects of the active power filter. In allusion to some existing detection methods which brings the detection errors due to the application of phase locked loop and low pass filter, this paper not only proposes the positive sequence fundamental extractor to the grid voltage orientation on the basis of the study of amplitude integral signal with the selected frequency characteristics, but also applies the adaptive linear neural network which is based on adaptive noise cancellation to harmonic current detection, and obtains the harmonic current by filtering out the fundamental signal from the load current . The method does not require the use of phase locked loop as well as low pass filter, and it does not need complex coordinate transformations, neither, therefore, it has small amount of calculation. In the case of grid voltage distortion, three-phase voltage unbalance and grid voltage frequency offset, the simulations are taken respectively and analyzed separately. Compared the results with i p-i q method and FBD method, the detection methods put forward by this paper has excellent real time performance, high accuracy, and more strong adaptive ability and robustness.