CAJ | 학술논문

结合原子分解与和声搜索算法，提出了一种电能质量扰动信号自适应分解及特征参数辨识方法。针对Gabor原子分解匹配追踪算法计算量大、实时性差的问题，首先利用傅里叶变换进行频谱分析，估计出扰动信号频率、幅值等参数，并以估计值作为搜索的初始解，加快算法的收敛速度；然后根据电能质量扰动信号特点将 Gabor 原子库分解为类基波库、脉冲库、谐波库、振荡库4个子库，依次搜索各子库，降低搜索的复杂度；再次，利用和声搜索算法快速、准确的全局搜索和协同搜索的特点对匹配追踪算法进行改进，加快了搜索速度；最后，依据获得Gabor原子索引参数实现电能质量扰动信号参数辨识。算例仿真表明，所提方法在保留匹配追踪算法优良重构性能的前提下，计算复杂度显著降低，搜索效率和收敛速度加快，扰动参数辨识精度得到提高。
결합원자분해여화성수색산법，제출료일충전능질량우동신호자괄응분해급특정삼수변식방법。침대Gabor원자분해필배추종산법계산량대、실시성차적문제，수선이용부리협변환진행빈보분석，고계출우동신호빈솔、폭치등삼수，병이고계치작위수색적초시해，가쾌산법적수렴속도；연후근거전능질량우동신호특점장 Gabor 원자고분해위류기파고、맥충고、해파고、진탕고4개자고，의차수색각자고，강저수색적복잡도；재차，이용화성수색산법쾌속、준학적전국수색화협동수색적특점대필배추종산법진행개진，가쾌료수색속도；최후，의거획득Gabor원자색인삼수실현전능질량우동신호삼수변식。산례방진표명，소제방법재보류필배추종산법우량중구성능적전제하，계산복잡도현저강저，수색효솔화수렴속도가쾌，우동삼수변식정도득도제고。
Combined with atom decomposition and harmony search (HS), an adaptive signal decomposition method is proposed to estimate parameters of power quality disturbances (PQD). Some measures were taken to reduce computation time of matching pursuit (MP) algorithm in atom decomposition. First of all, in order to accelerate convergence speed, initial solution of MP is given by the approximate signal parameters which were obtained by discrete Fourier transform. Besides that, based on characteristics of PQD, the Gabor dictionaries are divided into four subsets named as similar fundamental dictionary, pulse dictionary, harmonic dictionary and oscillation dictionary. The complexity of MP was then reduced by changing searching parameters. Furthermore, the MP algorithm was optimized by harmony search, which has advantages of fast speed and more accuracy in global search and cooperative search. Finally, the PQD parameter estimation is achieved by the index parameter of the Gabor dictionary. The simulation results show that the novel method could reduce the computation complexity, improve the search efficiency, accelerate the convergence speed, and enhance the accuracy of PQD parameter estimation, while also retains the advantage of signal reconstruction through MP.