Wyniki wyszukiwania - BazTech

1

VSC-Based DSTATCOM for PQ Improvement: A Deep-Learning Approach

Mangaraj Mrutyunjaya, Sabat Jogeswara, Barisal Ajit Kumar, Ramaiah K. Subba, Rao Gudivada Eswara

Power Electronics and Drives

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2022

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Vol. 7 (42)

174--186

EN

With the rapid advancement of the technology, deep learning supported voltage source converter (VSC)-based distributed static compensator (DSTATCOM) for power quality (PQ) improvement has attracted significant interest due to its high accuracy. In this paper, six subnets are structured for the proposed deep learning approach (DL-Approach) algorithm by using its own mathematical equations. Three subnets for active and the other three for reactive weight components are used to extract the fundamental component of the load current. These updated weights are utilised for the generation of the reference source currents for VSC. Hysteresis current controllers (HCCs) are employed in each phase in which generated switching signal patterns need to be carried out from both predicted reference source current and actual source current. As a result, the proposed technique achieves better dynamic performance, less computation burden and better estimation speed. Consequently, the results were obtained for different loading conditions using MATLAB/Simulink software. Finally, the feasibility was effective as per the benchmark of IEEE guidelines in response to harmonics curtailment, power factor (p.f) improvement, load balancing and voltage regulation.

2

PQ & DQ based shunt active power filter with PWM & hysteresis techniques

Alkhayyat Mahmood T., Suliman Mohammed Y., Aiwa Faisal Falah

Przegląd Elektrotechniczny

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2021

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R. 97, nr 9

78--84

EN

Power quality is mainly affected by any deviation in voltage, current, or frequency that results in damage, upset, or failure of end-use equipment. Non-linear loads like power electronics devices are the main causes of power quality problems. In this paper, we performed a comparison between DQ and PQ theory to control the shunt active power filter by using hysteresis and PWM techniques at different non-linear loads (controlled and uncontrolled rectifiers) in terms of the amount of improvement in the THD, power quality, and switching losses. The MATLAB / Simulink was used as a simulation tool to obtain a result for this paper.

PL

Na jakość energii wpływają głównie wszelkie odchylenia napięcia, prądu lub częstotliwości, które powodują uszkodzenie, niesprawność lub awarię sprzętu końcowego. Obciążenia nieliniowe, takie jak urządzenia energoelektroniczne, są głównymi przyczynami problemów z jakością energii. W artykule porównaliśmy teorię DQ i PQ w celu sterowania bocznikowym filtrem mocy czynnej za pomocą technik histerezy i PWM przy różnych obciążeniach nieliniowych (prostowniki sterowane i niesterowane) pod względem stopnia poprawy THD, jakości napięcia i strat przełączania. MATLAB / Simulink został wykorzystany jako narzędzie symulacyjne do uzyskania wyniku dla tego artykułu.

3

Amplitude-Frequency Monitoring of Power Quality Transients using Higher-Order Statistics and Self-Organizing Neural Networks

Gonzalez de la Rosa J. J., Aguera-Perez A., Palomares-Salas J. C., Moreno-Munoz A.

Przegląd Elektrotechniczny

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2011

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R. 87, nr 8

128-137

EN

In this paper a smart automatic classification of PQ transients is performed attending to their amplitudes and frequencies, and the extreme of higher-order cumulants. Feature extraction stage is double folded. First, these statistical measurements reveal the hidden geometry for a constant amplitude or frequency, conforming the 2D clustering grace to the third and fourth-order features associated to each signal anomaly, coupled to the 50-Hz power line. Precisely the main contribution of the work is the novel finding that the maxima and the minima of the higher-order cumulants distribute according to curves families, each of which associated to the transient's frequency or amplitude. Given a statistical order, each datum in a curve corresponds to the initial amplitude (or constant frequency), and to a couple of extremes (min-max) associated to the statistical estimator. The random grouping along each curve reveals the a priori hidden geometry, linked to the subjacent electrical phenomenon. Secondly, the regular surface grid in the input space (amplitude-frequency) experiments a transformation to the output space which is developed by the higher-order statistics. Once the geometry in the feature space has been found, we show the computational intelligence modulus, based in Self-Organizing Maps, which performs satisfactory learning along each frequency and amplitude curve. Performance of a four-neuron network with different geometries is shown, confirming the curves' patterns.

PL

W artykule opisano automatyczną metodę klasyfikacji jakości energii w stanach przejściowych z uwzględnieniem amplitudy, częstotliwości i wartości ekstremalnych. W pierwszym etapie przeprowadzane są pomiary statystyczne dla stałej amplitudy i częstotliwości uwzględniające klastry 2D i właściwości trzeciego i czwartego rzędu towarzyszące anomaliom. Następnie uwzględniana jest geometria sieci. Po tym etapie włączany jest moduł sztucznej inteligencji bazujący na sieciach neuronowych.

4

The regional system of monitoring power quality parameters in real time

Tukhas V., Eintrop S. A., Pozhidaev S. V.

Electrical Power Quality and Utilisation. Magazine

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2005

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Vol. 1, nr 2

79--84

EN

Creation and realization the system of the technical monitoring and power quality control in real time on the base of the new facility of the measurement power quality parameters - an instrument "PRORYV-KE".

5

Power quality regulation in Norway

Sand K., Seljeseth H., Samdal K.

Electrical Power Quality and Utilisation. Magazine

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2005

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Vol. 1, nr 1

45--49

EN

A new Power Quality Directive (PQD) developed by the Norwegian regulator was put into force January 1st 2005. The main purpose of the PQD is to ensure a satisfactory quality of supply in the Norwegian power system and contribute to a socio-economic rational operation, expansion and development of the power system, taking into account public and private interests that are affected. The regulations apply to those who wholly or partially own, operate or use electrical installations or electrical equipments that are connected to the Norwegian power system, and those who are designated as the transmission system operator. The PQD includes new requirements for Power Quality (PQ) documentation, PQ information and PQ service as well as limits for certain voltage quality phenomena. The phenomena dealt with are mainly the same as defined in EN 50160. In the article a comparison with EN 50160 is given, as the PQD goes further than the EN 50160 on some phenomena.