Least Mean Squares and Recursive Least Squares Algorithms for Total Harmonic Distortion Reduction Using Shunt Active Power Filter Control

Autor: Jaroslav Rzidky, Rene Jaros, Petr Bilik, Martina Ladrova, Radek Martinek
Rok vydání: 2019
Předmět:
0209 industrial biotechnology
Control and Optimization
Mean squared error
Energy Engineering and Power Technology
02 engineering and technology
Power factor
lcsh:Technology
shunt active power filter (SAPF) control
recursive least square (RLS)
Least mean squares filter
020901 industrial engineering & automation
0202 electrical engineering
electronic engineering
information engineering
Electrical and Electronic Engineering
Engineering (miscellaneous)
least mean squares (LMS) algorithm
Digital signal processing
Mathematics
Recursive least squares filter
Total harmonic distortion
lcsh:T
total harmonic distortion (THD)
non-linear load
Renewable Energy
Sustainability and the Environment
business.industry
higher harmonic components
020208 electrical & electronic engineering
Filter (signal processing)
normalized least mean squares (NLMS) algorithm
Inverter
business
Algorithm
control methods for SAPF
Energy (miscellaneous)
Zdroj: Energies
Volume 12
Issue 8
Energies, Vol 12, Iss 8, p 1545 (2019)
ISSN: 1996-1073
DOI: 10.3390/en12081545
Popis: This paper deals with the use of least mean squares (LMS, NLMS) and recursive least squares (RLS) algorithms for total harmonic distortion (THD) reduction using shunt active power filter (SAPF) control. The article presents a pilot study necessary for the construction of our own controlled adaptive modular inverter. The objective of the study is to find an optimal algorithm for the implementation. The introduction contains a survey of the literature and summarizes contemporary methods. According to this research, only adaptive filtration fulfills our requirements (adaptability, real-time processing, etc.). The primary benefit of the paper is the study of the efficiency of two basic approaches to adaptation ((N)LMS and RLS) in the application area of SAPF control. The study examines the impact of parameter settings (filter length, convergence constant, forgetting factor) on THD, signal-to-noise ratio (SNR), root mean square error (RMSE), percentage root mean square difference (PRD), speed, and stability. The experiments are realized with real current and voltage recordings (consumer electronics such as PC source without power factor correction (PFC), HI-FI amplifier, etc.), which contain fast dynamic transient phenomena. The realized model takes into account a delay caused by digital signal processing (DSP) (the implementation of algorithms on field programmable gate array (FPGA), approximately 1–5 μs) and a delay caused by the reaction time of the proper inverter (approximately 100 μs). The pilot study clearly showed that the RLS algorithm is the most suitable for the implementation of an adaptive modular inverter because it achieved the best results for all analyzed parameters.
Databáze: OpenAIRE
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