An Innovative fuzzy based Power Quality Assessment of Distorted Electrical Power System

Author(s):  
Sanhita Mishra ◽  
Pampa Sinha ◽  
Sarat Chandra Swain
Sensors ◽  
2021 ◽  
Vol 21 (8) ◽  
pp. 2699
Author(s):  
Marceli N. Gonçalves ◽  
Marcelo M. Werneck

Optical Current Transformers (OCTs) and Optical Voltage Transformers (OVTs) are an alternative to the conventional transformers for protection and metering purposes with a much smaller footprint and weight. Their advantages were widely discussed in scientific and technical literature and commercial applications based on the well-known Faraday and Pockels effect. However, the literature is still scarce in studies evaluating the use of optical transformers for power quality purposes, an important issue of power system designed to analyze the various phenomena that cause power quality disturbances. In this paper, we constructed a temperature-independent prototype of an optical voltage transformer based on fiber Bragg grating (FBG) and piezoelectric ceramics (PZT), adequate to be used in field surveys at 13.8 kV distribution lines. The OVT was tested under several disturbances defined in IEEE standards that can occur in the electrical power system, especially short-duration voltage variations such as SAG, SWELL, and INTERRUPTION. The results demonstrated that the proposed OVT presents a dynamic response capable of satisfactorily measuring such disturbances and that it can be used as a power quality monitor for a 13.8 kV distribution system. Test on the proposed system concluded that it was capable to reproduce up to the 41st harmonic without significative distortion and impulsive surges up to 2.5 kHz. As an advantage, when compared with conventional systems to monitor power quality, the prototype can be remote-monitored, and therefore, be installed at strategic locations on distribution lines to be monitored kilometers away, without the need to be electrically powered.


Author(s):  
Jaya Bharata Reddy ◽  
Dusmanta Kumar Mohanta ◽  
B.M. Karan

Power quality issues have been a source of major concern in recent years due to extensive use of power electronic devices and non-linear loads in electrical power system and consequently sensitive detection and accurate classification of power disturbances have become very much necessary. To monitor electrical power quality disturbances, short time discrete Fourier transform (STFT) is most often used. But for non- stationary signals, the STFT does not track the signal dynamics properly due to the limitations of a fixed window width chosen a priori. This paper presents a new approach for power quality analysis using a modified wavelet transform, known as S–transform and the analysis of several power quality problems using both S–transform as well as discrete wavelet transform validates the superiority of S–transform.


Author(s):  
Ashutosh Srivastava ◽  
Amarjeet Singh

Harmonics in the power system is not new issue. This phenomenon has been introduced by technocrat throughout in the history of electrical power system. Maintaining the power quality in a power system is an essential assignment due to increase in wide variety of non-linear loads. The current drawn by such non linear loads are non-sinusoidal and therefore contains harmonics. Therefore, it becomes necessary to compensate these unwanted harmonics for better performance of the system. In this paper, a review of compensations of harmonics in distribution system has been explained.


2017 ◽  
Vol 2 (4) ◽  
pp. 227 ◽  
Author(s):  
Amam Hossain Bagdadee

Characteristics of Power quality has been with us since the inception of the electrical Power system. However, the topic of power quality has attracted particular attention in recent years due to the increase of electronically controlled. Power quality problems caused disruptions to electrical or electronic equipment and the resulting consequences are very expensive. Ripple techniques will be studied in this paper for analysing power quality monitoring. In the case study based on the measurement of the site of the Asian Institute of Technology (AIT) and it was examined using the proposed ripple technique.


Author(s):  
Vladimir Belov ◽  
Alexey Shamaev ◽  
Peter Leisner ◽  
Alf Johansson ◽  
Bengt Magnhagen ◽  
...  

A novel simulation-based spectral technique for power quality and electromagnetic compatibility (EMC) design of an independent electrical power system (EPS) has been proposed. Power filter optimization problem has been formulated to provide full solution of the electric power quality and conducted EMI problems in the EPS. The spectral technique has been implemented within a CAD tool. An example of power quality and EMC design has been provided for an independent EPS where an AC power source generates a power, which is comparable to the consumed power, and an additional power filter is calculated for an electronic product including a switch-mode power supply. Current and voltage spectra calculations have been verified with a block-oriented simulation program Simulink. Numerical experiments revealed a number of important features of the proposed spectral technique.


Author(s):  
Atul Kumar ◽  
Imran Khan

The emergent use of non-conventional energy resources in electrical power grid has initiated new challenge for the service load as concern to voltage balance, power quality issues and effective energy operation. Solar/ wind hybrid RES deliberated as the furthermost promising sources. Nevertheless standalone operations of distributed energy sources such as solar and wind not make sure of reliable power production principally owing to the randomness over the solar irradiance and accessibility of the wind. Hence, a combination of wind and solar energy production configuration can plan a highly reliable source of electrical energy. In This article, multi-level inverter (3 levels inverter) based grid tied hybrid solar- wind energy system based on a 3 level inverter is presented with the mitigation of power quality problems. In this work, analysis on simulation model is conceded to determine source current and voltage and percentage of total harmonic distortion. In particular, the power quality analysis is performed in grid tied hybrid solar and wind electrical power system using 3 level inverter.


Author(s):  
Ashutosh Srivastava ◽  
Amarjeet Singh

An electrical power system is designed to operate at the frequency of 50 Hz or 60 Hz. But there are certain loads which generate voltage and current that are the integer multiple of 50 or 60 Hz. Those higher frequencies form electrical network pollution called as power system harmonics. An Electric Arc Furnace (EAF) is one of such load when operated on AC affects the power quality of the power system. The power quality is degraded mainly due to the poor power factor, current and voltage harmonics and voltage fluctuation. The problems due the harmonics is getting worsen day by day due to the introduction of power electronics equipments and voltage fluctuation arise by the use of large industrial load such as EAFs and LMF (Ladle Melt Furnace) in steel meting shop. Also connecting rolling mill and forging shop generate harmonics in the adjacent electrical power system. In this paper, an extensive review of harmonics generated in EAF is presented .


Author(s):  
Iyappan Murugesan ◽  
Karpagam Sathish

: This paper presents electrical power system comprises many complex and interrelating elements that are susceptible to the disturbance or electrical fault. The faults in electrical power system transmission line (TL) are detected and classified. But, the existing techniques like artificial neural network (ANN) failed to improve the Fault Detection (FD) performance during transmission and distribution. In order to reduce the power loss rate (PLR), Daubechies Wavelet Transform based Gradient Ascent Deep Neural Learning (DWT-GADNL) Technique is introduced for FDin electrical power sub-station. DWT-GADNL Technique comprises three step, normalization, feature extraction and FD through optimization. Initially sample power TL signal is taken. After that in first step, min-max normalization process is carried out to estimate the various rated values of transmission lines. Then in second step, Daubechies Wavelet Transform (DWT) is employed for decomposition of normalized TLsignal to different components for feature extraction with higher accuracy. Finally in third step, Gradient Ascent Deep Neural Learning is an optimization process for detecting the local maximum (i.e., fault) from the extracted values with help of error function and weight value. When maximum error with low weight value is identified, the fault is detected with lesser time consumption. DWT-GADNL Technique is measured with PLR, feature extraction accuracy (FEA), and fault detection time (FDT). The simulation result shows that DWT-GADNL Technique is able to improve the performance of FEA and reduces FDT and PLR during the transmission and distribution when compared to state-of-the-art works.


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