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📋 📋 📋 本文目录如下: 🎁 🎁 🎁
目录
💥1 概述
📚2 运行结果
🎉3 参考文献
🌈4 Matlab代码实现
💥1 概述
低复杂度高精度P级到M级渐进式PMU模型,由Krzysztof Duda和Tomasz P. Zieliński设计。
基于离散时间频率增益传感器(DTFGT)和正弦斜率滤波器的P级至M级渐进式PMU模型的实现,以及在IEC/IEEE 60255-118-1标准动态调制测试中的应用。
📚2 运行结果
部分代码:
figure, subplot(1,2,1), hold on plot(fm, err_TVE_dF) legend(text_legend_const,'Location','southeast') xlabel('F_i_n (Hz)'), ylabel('TVE (%) for straightforward A and \phi estimation') title(text_title) set(gca,'YScale','log'), axis tight, box on, grid on subplot(1,2,2), hold on plot(fm, err_TVE_dF_LS, '-') legend(text_legend_const,'Location','southeast') xlabel('F_i_n (Hz) '), ylabel('TVE (%) for LS based A and \phi estimation') title(text_title) set(gca,'YScale','log'), axis tight, box on, grid on figure, subplot(1,2,1), hold on plot(fm, err_Om_dF, '-') legend(text_legend_const,'Location','southeast') xlabel('F_i_n (Hz)'), ylabel('FE (Hz)'), title(text_title) set(gca,'YScale','log'), axis tight, box on, grid on subplot(1,2,2), hold on plot(fm, err_Rocof_dF_LS, '-') legend(text_legend_const,'Location','southeast') xlabel('F_i_n (Hz)'), ylabel('RFE (Hz/s)'), title(text_title) set(gca,'YScale','log'), axis tight, box on, grid on end %########################################################### function [Phasor, PhasorLS, Omr, ROCOFr] = PMU(x, P, N0, F0) % PMU implementation with a cascade of rectangular filters % and the Discrete-Time Frequency-Gain Transducer (DTFGT) % with the sine-shape slope filter % x - sinusoidal signal x=A*cos(Om*n+p) % P - number of rectangular filters in the prefilter cascade % Phasor - estimated complex phasor reported at nominal frequency with straightforward amplitude and phase estimation % PhasorLS - estimated complex phasor reported at nominal frequency with LS based amplitude and phase estimation % Omr - estimated frequency in radians reported at nominal frequency % ROCOFr - estimated ROCOF in radians per second reported at nominal frequency Nx = length(x); Fs = N0*F0; %Hz t = (0:Nx-1)/Fs; y = x.*exp(-1i*2*pi*F0*t); % down-shifted sinusoidal signal x=A*cos(Om*n+p), Om=2*pi*f0/fs %% for LS solution ND2 = N0/2-1; % only one nominal period, although it could be more for longer cascade ND1 = -N0/2; %% sin frequency slope h = [1/2 0 -1/2]; w0= pi/(N0/2); L = N0/4; h = [1/2 zeros(1,L-1) 0 zeros(1,L-1) -1/2]; %% tr = 1:N0:Nx; % reporting times Phasor = zeros(length(tr), P); PhasorLS = zeros(length(tr), P); Omr = zeros(length(tr), P); ROCOFr = zeros(length(tr), P); r0 = ones(1,N0)/N0; rp = 1; for ind=1:P
🎉3 参考文献
部分理论来源于网络,如有侵权请联系删除。
[1]Krzysztof Duda (2023). P2M_PMU