scholarly journals ASSESSING AND IMPROVING RECOMMENDATIONS FOR LOCAL POWER QUALITY EFFICIENCY FOR INDUSTRIAL PLANTS WITH THE HELP OF REAL DATA

2019 ◽  
Vol 4 (1) ◽  
pp. 12-20
Author(s):  
Levent Kılıç ◽  
2022 ◽  
Vol 305 ◽  
pp. 117718
Author(s):  
S. Torres ◽  
I. Durán ◽  
A. Marulanda ◽  
A. Pavas ◽  
J. Quirós-Tortós

2012 ◽  
Vol 512-515 ◽  
pp. 1199-1204
Author(s):  
Yong Zhang ◽  
Jing Shuang Shen ◽  
Hai Feng Zheng

This paper explores methods to improve the power quality of large, single-phase, thyristor controlled equipment within industrial plants. An advanced shunt single phase power filter for the compensation of instantaneous harmonic current components in direct coupled booster melting in glass furnaces is presented. The validity of the excellent filtering characteristics is verified by a previous installation.


Energies ◽  
2020 ◽  
Vol 13 (14) ◽  
pp. 3623
Author(s):  
Ngo Minh Khoa ◽  
Le Van Dai

The detection, mitigation, and classification of power quality (PQ) disturbances have been issues of interest in the power system field. This paper proposes an approach to detect and classify various types of PQ disturbances based on the Stockwell transform (ST) and decision tree (DT) methods. At first, the ST is developed based on the moving, localizing, and scalable Gaussian window to detect five statistical features of PQ disturbances such as the high frequency of oscillatory transient, distinction between stationary and non-stationary, the voltage amplitude oscillation around an average value, the existence of harmonics in a disturbance signal, and the root mean square voltage at the internal period of sag, swell or interruption. Then, these features are classified into nine types, such as normal, sag, swell, interruption, harmonic, flicker, oscillatory transient, harmonic voltage sag, and harmonic voltage swell by using the DT algorithm that is based on a set of rules with the structure “if…then’’. This proposed study is simulated using MATLAB simulation. The IEEE 13-bus system, the recorded real data based on PQube, and the experiment based on the laboratory environment are applied to verify the effectiveness.


Energies ◽  
2021 ◽  
Vol 14 (15) ◽  
pp. 4524
Author(s):  
Juliano C. L. da Silva ◽  
Thales Ramos ◽  
Manoel F. Medeiros Júnior

The power quality analysis is an essential issue in the integration of distributed energy resources to the grid. Recent standards regulate the harmonics disturbances due to the increasing penetration of intermittent energy sources interconnected with the grid employing power converters. This paper aims to analyze the power quality of an interconnected wind turbine system based on a Squirrel Cage Induction Generator (SCIG) driven by an Electromagnetic Frequency Regulator (EFR). The steady state of the EFR harmonic model is developed in the stationary frame based on the conventional induction generator modeling, which allows the study of the harmonic disturbances in the electrical and mechanical variables due to the PWM inverter of the EFR’s armature voltage. There is no electrical connection between the EFR and SCIG, and the results show that the inherent system inertia contributes to the mitigation of the harmonic content at the grid side generated by the switching. In addition to the steady-state results, the Total Rated Distortion (TRD), which considers the harmonics and interharmonics components, was computed and presented a good performance compared to the IEEE 1547 standard and real data extracted of a single Doubly Fed Induction Generator (DFIG). Finally, the harmonic performance of the proposed system was evaluated considering the impact of the equivalent Thevenin impedance of the grid at the Point of Common Coupling (PCC).


Energies ◽  
2021 ◽  
Vol 14 (10) ◽  
pp. 2837
Author(s):  
Stavros Karagiannopoulos ◽  
Athanasios Vasilakis ◽  
Panos Kotsampopoulos ◽  
Nikos Hatziargyriou ◽  
Petros Aristidou ◽  
...  

Lately, data-driven algorithms have been proposed to design local controls for Distributed Generators (DGs) that can emulate the optimal behaviour without any need for communication or centralised control. The design is based on historical data, advanced off-line optimization techniques and machine learning methods, and has shown great potential when the operating conditions are similar to the training data. However, safety issues arise when the real-time conditions start to drift away from the training set, leading to the need for online self-adapting algorithms and experimental verification of data-driven controllers. In this paper, we propose an online self-adapting algorithm that adjusts the DG controls to tackle local power quality issues. Furthermore, we provide experimental verification of the data-driven controllers through power Hardware-in-the-Loop experiments using an industrial inverter. The results presented for a low-voltage distribution network show that data-driven schemes can emulate the optimal behaviour and the online modification scheme can mitigate local power quality issues.


2021 ◽  
Vol 19 ◽  
pp. 356-361
Author(s):  
A. Alcayde ◽  
◽  
F.G. Montoya ◽  
F.M. Arrabal-Campos ◽  
Jesús González ◽  
...  

Power Quality is an important topic for undergraduate electrical engineering students around the world. In addition to the theoretical contents prepared and explained by the lecturer to their students, this matter has an important practical focus. In this paper, a framework for teaching power quality in laboratories using IoT-based smart analyzers and advanced software tools is developed to provide the students the opportunity of studying real data with a high level of detail. In particular, practical lessons have been designed in such a way that the students are trained in the use of well-known commercial smart meters (like the Circutor MYeBOX 1500) or opensource systems (like the openZmeter) to acquire energy and power quality data from real world measurements and to analyze the data collected using advanced software tools (like PowerVision). The results obtained from several courses of electrical and electronic engineering show that the students acquire practical skills that allow them to reinforce their knowledge regarding power quality concepts, including harmonics, and power quality events such as voltage sag/swell, flicker, or waveform distortions. Therefore, this methodology can be applied for teaching power quality in undergraduate and graduate electrical engineering courses.


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