Abstract：The realization of fast and accurate detection of power system harmonics is the key factor to effectively suppress harmonics, to improve power quality and enhance the stability of power grid. Through the comparison of the existing power system harmonic detection method, by analyzing the limitation of parameter optimization selection of the traditional Prony algorithm under noise conditions, and according to the fact that Prony algorithm can directly extract the characteristic parameters of the detected signal, and having the characteristics of strong adaptive ability, this paper proposes the power system harmonic detection method based on Prony optimized by genetic algorithm, in order to achieve the optimization selection of related parameters. Simulation results show that the proposed method has significant advantages in fitting error, accuracy and stability for harmonic detection signals under different signal-to-noise ratio conditions.
葛江红, 张昌丽. 遗传算法优化Prony电力系统谐波检测的研究[J]. 电气技术, 2017, 18(12): 100-103.
Ge Jianghong, Zhang Changli. Power System Harmonic Detection based on Prony Optimized by Genetic Algorithm. Electrical Engineering, 2017, 18(12): 100-103.
2017, Vol. 18 
