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| Power System Harmonic Detection based on Prony Optimized by Genetic Algorithm |
| Ge Jianghong1, Zhang Changli2 |
1. State Grid Chuzhou Power Supply Company, Chuzhou, Anhui 239000;
2. State Grid Wuhu Power Supply Company, Wuhu, Anhui 241000 |
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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.
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Published: 22 January 2018
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| Cite this article: |
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Ge Jianghong,Zhang Changli. Power System Harmonic Detection based on Prony Optimized by Genetic Algorithm[J]. Electrical Engineering, 2017, 18(12): 100-103.
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| URL: |
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http://dqjs.cesmedia.cn/EN/Y2017/V18/I12/100
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2017, Vol. 18 
