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作 者:王秀芹 赵吉文[2] 王群京[2,3] 李国丽 张茂松[2,3] WANG Xiu-qin;ZHAO Ji-wen;WANG Qun-jing;LI Guo-li;ZHANG Mao-song(School of Electronics and Information Engineering,Hefei 230601,China;National Engineering Laboratory of Energy-Saving Motor&Control Technology,Anhui University,Hefei 230601,China;Collaborative Innovation Center of Industrial Energy-Saving and Power Quality Control,Anhui University,Hefei 230601,China)
机构地区:[1]安徽大学电子信息工程学院,合肥230601 [2]安徽大学高节能电机及控制技术国家地方联合实验室,合肥230601 [3]安徽大学工业节电与电能质量控制协同创新中心,合肥230601
出 处:《电机与控制学报》2020年第9期84-94,共11页Electric Machines and Control
基 金:国家自然科学基金(51777001)。
摘 要:为了实现三相四线制系统中有源电力滤波器的同步与控制,提出一种改进的谐波检测方法。所提出方法可以在系统中存在三相不平衡或其他扰动时提取电网电压频率、相位、正负序分量以及负载电流的各次谐波分量。此方法建立了三相四线制系统电压的模型及离散复数相量状态空间方程,提出一种主从式卡尔曼滤波器来估计系统电压的频率及噪声协方差,从而在频率偏移情况下快速地跟踪系统中的电网电压频率和幅值;同时给出一种基于自适应神经网络的负载谐波检测方法,能够在一个工频周期内法精确地获取负载电流中各次谐波分量的幅值及相位。结果表明,提出方法在频率跟踪时间及精度上优于传统的卡尔曼滤波算法。电力有源滤波器的仿真和实验证明了算法的有效性。An improved harmonic detection method was proposed to realize the synchronization and control of active power filter in three-phase four wire system.The method can extract the frequency,phase,positive and negative sequence components of grid voltage and the harmonic components of load current when there are three-phase unbalance or other disturbances in the system.The voltage model and discrete complex phasor state space equation were established of three-phase four wire system,and proposes a master-slave Kalman filter was proposed to estimate the frequency and noise covariance of system voltage,so as to quickly track the frequency and amplitude of the grid voltage in the system with measurement noise and frequency offset;meanwhile,a load harmonic detection method based on adaptive neural network was proposed,which can accurately obtain the amplitude and phase of each harmonic component in the load current in a power frequency cycle.The results show that the method is superior to the traditional Kalman filter algorithm in frequency tracking time and accuracy.Simulation and experiment prove effectiveness of the algorithm.
关 键 词:电力有源滤波器 负载电流 谐波检测 卡尔曼滤波 自适应神经网络法 频率偏移
分 类 号:TM67[电气工程—电力系统及自动化]
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