非整周期采样下的新型负荷加窗FFT电能计量算法对比研究
A Comparative Study of Novel Load Power Metering Windowed FFT Algorithm Under Non-Integer Cycle Sampling Conditions
何兆磊 1林聪 1朱梦梦 2赵静 1余恒洁1
作者信息
- 1. 云南电网有限责任公司计量中心,云南 昆明 650500
- 2. 云南电网有限责任公司电力科学研究院,云南 昆明 650217
- 折叠
摘要
随着越来越多的新能源发电并入电网,电力系统惯量显著降低,另一方面,高铁、电弧炉、大功率充电站等冲击性新型负荷不断对电力系统造成扰动,使得系统频率波动增大.然而,当系统频率波动较大时,传统的快速傅里叶变换(fast fourier transform,FFT)方法会在非整周期采样下出现频谱泄露和栅栏效应,可能导致计量电能产生较大的误差.本文针对非整周期采用条件下的新型负荷计量精度问题,对比了FFT、Hanning窗双峰谱线插值FFT、Blackman窗双峰谱线插值FFT算法的适用性,发现FFT在基波电能计量方面仍然优于后两者,而对于谐波电能计量,Hanning窗双峰谱线插值FFT算法则明显优于其他算法.
Abstract
With the increasing integration of renewable energy generation into the power grid,the inertia of the power system has significantly decreased.On the other hand,the introduction of impactful new loads such as high-speed trains,electric arc furnaces,and high-power charging stations has continuously disturbed the power system,leading to increased frequency fluctuations.However,when the system frequency fluctuates significantly,traditional Fast Fourier Transform(FFT)methods can suffer from spectral leakage and scalloping effects under non-integer cycle sampling conditions,which may result in considerable errors in energy metering.This paper addresses the accuracy issue of load power metering under non-integer cycle sampling conditions.It compares the applicability of FFT,Hanning window dual-peak spectrum interpolation FFT,and Blackman window dual-peak spectrum interpolation FFT algorithms.The findings reveal that FFT still outperforms the latter two in terms of fundamental frequency energy metering.However,for harmonic energy metering,the Hanning window dual-peak spectrum interpolation FFT algorithm clearly surpasses other algorithms.
关键词
频率波动/新型负荷/电能计量/快速傅里叶变换/加窗插值Key words
frequency fluctuations/novel load/energy metering/FFT/windowed interpolation引用本文复制引用
基金项目
云南电网科技项目(YNKJXM20220161)
出版年
2024
NETL
NSTL
万方数据