Back-propagation control algorithm for power quality improvement using DSTATCOM
This paper presents an implementation of a three phase distribution static compensator
(DSTATCOM) using a back propagation (BP) control algorithm for its functions such as …
(DSTATCOM) using a back propagation (BP) control algorithm for its functions such as …
Overview of signal processing problems in power electronic control circuits
K Sozański - Energies, 2023 - mdpi.com
This paper examines various aspects related to digital signal processing in digital control
circuits used in power electronics. The discussion focuses on several common issues …
circuits used in power electronics. The discussion focuses on several common issues …
Comparative performance of wiener filter and adaptive least mean square-based control for power quality improvement
This paper presents a three-phase shunt active power filter (SAPF) for mitigating power
quality problems at the distribution level. Power quality problems such as harmonics …
quality problems at the distribution level. Power quality problems such as harmonics …
Intelligent global sliding mode control using recurrent feature selection neural network for active power filter
S Hou, Y Chu, J Fei - IEEE Transactions on Industrial …, 2020 - ieeexplore.ieee.org
This study develops an intelligent global sliding mode control using recurrent feature
selection neural network for active power filter (APF). First, the dynamic model of an APF is …
selection neural network for active power filter (APF). First, the dynamic model of an APF is …
Performance of DSTATCOM using leaky LMS control algorithm
This paper describes a leaky least mean square-based control algorithm for a three-phase
distribution static compensator (DSTATCOM) to mitigate multiple power quality problems …
distribution static compensator (DSTATCOM) to mitigate multiple power quality problems …
Neural network based conductance estimation control algorithm for shunt compensation
For mitigation of power quality problems in a distribution system, it is important to estimate
effecting factors which are responsible for their origin. Main objectives of neural network …
effecting factors which are responsible for their origin. Main objectives of neural network …
Robust adaptive learning control using spiking-based self-organizing emotional neural network for a class of nonlinear systems with uncertainties
S Hou, Z Qiu, Y Chu, X Luo, J Fei - Engineering Applications of Artificial …, 2024 - Elsevier
For second-order general nonlinear systems with uncertainties, a control scheme combining
fractional-order fast terminal sliding mode control (FOFTSMC) and self-organizing emotional …
fractional-order fast terminal sliding mode control (FOFTSMC) and self-organizing emotional …
[HTML][HTML] Advanced Control Algorithm for Three-Phase Shunt Active Power Filter Using Sliding DFT
K Sozanski, P Szczesniak - Energies, 2023 - mdpi.com
This paper describes n digital control algorithm for a three-phase shunt active power filter
(APF) using switching–sliding discrete Fourier transform (SSDFT). Traditionally, APF control …
(APF) using switching–sliding discrete Fourier transform (SSDFT). Traditionally, APF control …
A power quality detection and classification algorithm based on FDST and hyper-parameter tuned light-GBM using memetic firefly algorithm
Presently, the issue of power quality (PQ) disturbances in electrical power system has been
greater than before owing to increased use of power electronics based nonlinear loads. This …
greater than before owing to increased use of power electronics based nonlinear loads. This …
Selection of C-type filters for reactive power compensation and filtration of higher harmonics injected into the transmission system by arc furnaces
AG Lange, G Redlarski - Energies, 2020 - mdpi.com
This article presents a method for selecting the elements of a C-type filter working with a
conventional LC-type filter for compensating reactive power and filtering out higher …
conventional LC-type filter for compensating reactive power and filtering out higher …