Adopting TMS320F2812 DSP as core processor and combining with IQmath library provided by TI, this paper presents a practical algorithm to accurately meter and analyze power paramenters online. First, hardware phase-locked loop technology is used to achieve synchronous sampling control of the power network signal. Then, the FIR low-pass digital anti-aliasing filter is designed to filter out noise, harmonics and other high-order interference signal. Finally, the modified FFT algorithm is used in the separation of power grid voltage, current fundamental and the high-order harmonic components to carry out high-precision measurement and analysis of the relevant energy parameters. In the process of the algorithm implementation, a Q format calibration method is used to accomplish high-speed floating-point operations in the fixed-point processor, and the use of properties of real DFT can greatly reduce computational complexity and improve computing speed. The testing results show the proposed algorithm can achieve high accuracy in online power analysis and measurement.This work is supported by National Natural Science Foundation of China (No. 60673153 and No. 60970105).%以TMS320F2812 DSP为核心处理器,结合TI公司提供的IQmath函数库,提出了一种对电力参数进行在线高精度计量分析的实用算法.采用硬件锁相环技术实现对电网信号的同步采样控制,设计了FIR低通数字抗混叠滤波器滤除高次噪声及谐波等干扰信号,并采用简化的FFT算法分离电网中的电压、电流基波和各高次谐波分量以进行相关电能参数的高精度计量和分析.算法在实现过程中,利用Q格式定标法解决了在定点处理器上进行高速浮点运算问题,利用实数DFT的性质,大大减少了运算量,提高了计算速度.试验测试结果表明该算法能够对电能进行高精度在线计量分析.
展开▼
