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Adaptive harmonic detection method for optimized minimum root mean square of cat swarm algorithm

A technology of harmonic detection and cat group algorithm, which is applied in the field of electric power, can solve problems such as low harmonic detection accuracy and sensitivity to initial values, and achieve the effects of improving accuracy and real-time performance, reducing steady-state errors, and improving power quality

Active Publication Date: 2020-04-03
NANCHANG UNIV
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Problems solved by technology

For example, the least mean square (LMS) algorithm is applicable to both three-phase systems and single-phase systems, but the LMS algorithm, as the most widely used adaptive filtering algorithm, has the obvious disadvantage of being sensitive to the initial value, resulting in relatively low harmonic detection accuracy. Low

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  • Adaptive harmonic detection method for optimized minimum root mean square of cat swarm algorithm
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  • Adaptive harmonic detection method for optimized minimum root mean square of cat swarm algorithm

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[0039] The following will clearly and completely describe the technical solutions in the embodiments of the present invention with reference to the drawings in the embodiments of the present invention.

[0040] Such as Figure 1-6 As shown, one embodiment of the present invention discloses a cat swarm algorithm optimization minimum root mean square adaptive harmonic detection method, comprising the following steps:

[0041] S1: current signal sampling: for periodic load current i with harmonics L (t) Sampling to obtain the load current i corresponding to the current sampling moment L (t) discrete value i L (n);

[0042] S2: given an input reference signal where A is the amplitude, f is the frequency, is the phase, corresponding value range: -2≤A≤2, 48≤f≤52, Correspondingly, the discrete signal x(n) of x(t) is obtained;

[0043] S3: Obtain the estimated value y(n) of the fundamental current through the LMS algorithm, namely: y(n)=x(n)*w T (n); wherein w(n) is the wei...

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Abstract

The invention discloses an adaptive harmonic detection method for optimized minimum root mean square of a cat swarm algorithm, relating to the technical field of electric power. On the basis of harmonic detection of a traditional variable step length root mean square (LMS) algorithm, the cat swarm algorithm (CSO) is introduced to optimize the LMS algorithm, the problems that a traditional method is sensitive to an initial value, poor in detection precision and the like are solved, real-time detection of harmonic in load current is achieved, and the method is high in harmonic detection precision and convergence speed; meanwhile, the method has great significance for effectively governing harmonic waves and improving electric energy quality.

Description

technical field [0001] The invention relates to the field of electric power technology, in particular to a minimum root mean square adaptive harmonic detection method optimized by a cat group algorithm. Background technique [0002] In recent years, with the use of a large number of nonlinear power electronic devices in the field of electric power technology, a large number of harmonics have seriously reduced the power quality of users and the stability of equipment operation. Effective harmonic compensation methods have been adopted to solve power grid harmonics. The problem of wave pollution is urgent, and the active power filter (APF) that can dynamically compensate harmonics has been widely used. Among them, the harmonic detection link is a key part of APF, and the accuracy and effectiveness of detection directly affect the harmonics. Therefore, it is more and more important to study and improve the algorithm of harmonic real-time detection. Currently widely used harmon...

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G01R23/165
CPCG01R23/165
Inventor 聂晓华万良
Owner NANCHANG UNIV
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