Application of firefly algorithm intelligent optimization particle filter in dynamic harmonic detection of power system

2018 International Conference on Advanced Electronic Materials, Computers and Materials Engineering

材料科学;无线电电子学;计算机科学

Du, Xianjun^1,2 ; Liu, Zhou^1

College of Electrical and Information Engineering, Lanzhou University of Technology, Gansu Province, Lanzhou

730050, China^1

Key Laboratory of Gansu Advanced Control for Industrial Processes, Lanzhou University of Technology, Gansu Province, Lanzhou

730050, China^2

关键词: Firefly algorithms;    Harmonic amplitude;    Harmonic control;    Harmonic detection;    Intelligent optimization;    Operation mechanism;    Optimization method;    Real time performance;   

Others  :  https://iopscience.iop.org/article/10.1088/1757-899X/439/3/032015/pdf
DOI  :  10.1088/1757-899X/439/3/032015

来源: IOP

【 摘 要 】

The harmonic control is one of the important ways to improve the power quality, and the fast and accurate detection of the amplitude and phase of the harmonic in the power system is the prerequisite for the realization of the harmonic control of the power system. In this paper, based on the operation mechanism of particle filter (PF), the optimization method of the firefly algorithm (FA) is modified and the intelligent optimization particle filter of the firefly algorithm (FAPF)is proposed, which is used to detect the amplitude and phase of the dynamic harmonic in the power system. The method improves the overall quality of particle swarm and preserves its unique advantages in dealing with nonlinear, non-Gauss system of parameter estimation and state filtering. The experimental results show that, under the nonlinear and non-Gauss noise environment, the FAPF algorithm has the advantages of high accuracy and good real-time performance when estimating the dynamic harmonic amplitude and phase of the power system.