摘要
随着工业发展电网电压波动问题变得日益严重,检测与跟踪电压波动已成为供用电部门的一项重要任务。为此,在自适应滤波理论的基础上,提出一种新的QR分解递归最小二乘算法。该算法不但提高了数值稳定性,还保持了传统递归最小二乘算法的快速收敛性。然后,引入脉动阵列以高度流水线化的方式对QR分解中的Givens旋转步骤进行并行处理,从而提高了算法的执行效率,使其具有了更好的实时性。最后,通过Mat-lab完成对电力系统电压波动检测与跟踪的仿真,仿真结果验证了该方法的可行性和有效性。
With the development of industry,the problem of grid voltage fluctuation has become increasingly serious,and detecting and tracking voltage fluctuation has become an important task for the electricity sectors.Based on the adaptive filter theory,a new QR-decomposition recursive least squares algorithm is proposed.This algorithm not only improves the numerical stability,but also keeps the characteristic of the fast convergence of the traditional recursive least squares algorithm.Then,with the introduction of systolic array,Givens rotation procedure in the QR-decomposition was parallelled processing in a highly streamlined way.By this way,the efficiency and real-time applications of the algorithm was improved.Finally,the simulation of the power system voltage fluctuation detection and tracking is completed with the Matlab,and the simulation results verified the feasibility and effectiveness of the presented method.
出处
《电测与仪表》
北大核心
2011年第7期20-23,共4页
Electrical Measurement & Instrumentation
