CAJ | 학술논문

针对非线性动态负载引起的谐波难于检测的问题，提出了一种新的谐波估计算法。该算法借助蛙跳算法（SFLA）的全局搜索性对未知参数进行优化估计；引入高斯分布估计算法（GEDA）的思想，对蛙群中适应度好的蛙进行分布估计再生，提高收敛速度；结合进化代数改进蛙跳规则以改善局部搜索性能。实验仿真数据显示，与PSO算法相比，振幅平均估计精度提高了5.3％，相角平均估计精度提高了4.7°。研究表明，该算法（GSFLA）用于电力系统的谐波估计有更快的收敛速度和估计精度。
침대비선성동태부재인기적해파난우검측적문제，제출료일충신적해파고계산법。해산법차조와도산법（SFLA）적전국수색성대미지삼수진행우화고계；인입고사분포고계산법（GEDA）적사상，대와군중괄응도호적와진행분포고계재생，제고수렴속도；결합진화대수개진와도규칙이개선국부수색성능。실험방진수거현시，여PSO산법상비，진폭평균고계정도제고료5.3％，상각평균고계정도제고료4.7°。연구표명，해산법（GSFLA）용우전력계통적해파고계유경쾌적수렴속도화고계정도。
Aimed at the difficulty in estimation of harmonics caused by nonlinear dynamic loads,a new method of harmonics estimation is pro-posed.The global searching capability of the shuffled frog leaping algorithm (SFLA)was used to estimate the unknown parameters.The thoughts of Gaussian distribution estimation algorithm (GEDA)were introduced and some of frog population with best fitness was split based on GEDA to improve the convergence speed.Leapfrog rules were improved by evolution generations to optimize the local performance.Com-pared with PSO algorithm,experimental simulation data showed that average estimation accuracy of harmonics amplitude was enhanced by 5.3%,and the average estimation accuracy of harmonics phase was enhanced by 4.7°.The research shows that the proposed algorithm (GS-FLA)has faster convergence speed and higher estimation precision in power system harmonics estimation.