南方电网技术2026，Vol.20Issue(4)：65-74,95,11.DOI:10.13648/j.cnki.issn1674-0629.2026.04.006
基于粒子群算法的变换器并网系统振荡初期交流信号幅频调制特征解调方法
Demodulation Method for Amplitude-Frequency Modulation Characteristics of AC Signals in Initial Stage of Converter Interfaced System Oscillation Based on Particle Swarm Optimization Algorithm
摘要
Abstract
A particle swarm optimization algorithm based demodulation method for amplitude frequency modulation characteristics of power system oscillation signals is proposed to address the problem of power system oscillation caused by the continuous increase in the proportion of new energy grid connected.Firstly,starting from the physical mechanisms of formation and evolution of AC electri-cal quantities,the constraint relationships of oscillation signals under disturbances are clarified,revealing the modulation patterns of their amplitudes and frequencies over time.Unlike traditional harmonic superposition methods based on Fourier decomposition or wavelet analysis,this study emphasizes that oscillation signals are not formed by static harmonic superposition but rather result from a continuous modulation process shaped by the system's dynamic closed-loop action,which carries greater physical significance.On this basis,a PSO-based amplitude-frequency modulation feature extraction method is designed.By minimizing the deviation between the fitted waveform and the actual waveform,the amplitude-frequency modulation parameters that determine the oscillation process are extracted.Simulation results show that the proposed method can accurately reflect the oscillation patterns of typical converter-interfaced power systems,with the fitted waveforms highly consistent with the original signals.Dynamic model experiments further validate the applicability and effectiveness of the proposed algorithm in practical systems.关键词
振荡过程/幅频调制机制/粒子群算法/幅频调制特征Key words
oscillation process/amplitude-frequency modulation mechanism/particle swarm optimization algorithm/amplitude-frequency modulation characteristics分类
信息技术与安全科学引用本文复制引用
蔡百科,王思成,袁小明..基于粒子群算法的变换器并网系统振荡初期交流信号幅频调制特征解调方法[J].南方电网技术,2026,20(4):65-74,95,11.基金项目
国家自然科学基金资助项目(U23B600008) （U23B600008）
台达电力电子科教发展计划资助项目(DREN2024001). Supported by the National Natural Science Foundation of China(U23B600008) （DREN2024001）
the Delta Power Electronics Science and Education Development Program of Delta Group(DREN2024001). （DREN2024001）
