Phasor Estimation and Disturbance Detection in Power Systems by Ramanujan Sum

2021 ◽  
Author(s):  
Bandi Ravi Kumar ◽  
Abheejeet Mohapatra ◽  
Saikat Chakrabarti
Keyword(s):  
Power Systems ◽  
Ramanujan Sum ◽  
Phasor Estimation ◽  
Disturbance Detection

scholarly journals Improved Performance of M-Class PMUs Based on a Magnitude Compensation Model for Wide Frequency Deviations

Mathematics ◽  
2020 ◽  
Vol 8 (8) ◽  
pp. 1361
Author(s):  
Jose Roberto Razo-Hernandez ◽  
Ismael Urbina-Salas ◽  
Guillermo Tapia-Tinoco ◽  
Juan Pablo Amezquita-Sanchez ◽  
Martin Valtierra-Rodriguez ◽  
...  
Keyword(s):  
Power Systems ◽  
Frequency Range ◽  
Magnitude Response ◽  
Modulation And Demodulation ◽  
Variable Function ◽  
Low Pass ◽  
Measurement Units ◽  
Phasor Estimation ◽  
Improved Performance ◽  
Reporting Rates

Phasor measurement units (PMUs) are important elements in power systems to monitor and know the real network condition. In order to regulate the performance of PMUs, the IEEE Std. C37.118.1 stablishes two classes—P and M, where the phasor estimation is carried out using a quadrature oscillator and a low-pass (LP) filter for modulation and demodulation, respectively. The LP filter plays the most important role since it determines the accuracy, response time and rejection capability of both harmonics and aliased signals. In this regard and by considering that the M-class filters are used for more accurate measurements, the IEEE Std. presents different M-class filters for different reporting rates (when a result is given). However, they can degrade their performance under frequency deviations if the LP frequency response is not properly considered. In this work, a unified model for magnitude compensation under frequency deviations for all the M-class filters is proposed, providing the necessary values of compensation to improve their performance. The model considers the magnitude response of the M-class filters for different reporting rates, a normalized frequency range based on frequency dilation and a fitted two-variable function. The effectiveness of the proposal is verified using both static and dynamic conditions for frequency deviations. Besides that, a real-time simulator to generate test signals is also used to validate the proposed methodology.

scholarly journals A SIMPLE PATTERN RECOGNITION-BASED METHOD FOR POWER QUALITY DISTURBANCE DETECTION

2021 ◽  
Vol 5 (3) ◽  
pp. 1-10
Author(s):  
Robson Rosserrani De Lima ◽  
Danton Diego Ferreira ◽  
José Manoel de Seixas ◽  
Leonardo Silveira Paiva
Keyword(s):  
Power Systems ◽  
Power Quality ◽  
Low Complexity ◽  
Mean Value ◽  
Computational Effort ◽  
Detection Rates ◽  
Detection Algorithms ◽  
Power Quality Disturbance ◽  
Simple Detection ◽  
Disturbance Detection

Voltage disturbances are the most frequent cause of a large range of disruption in industrial, commercial, and residential power supply systems. These disturbances are often referred to as power quality problems and affect the Power Systems causing substantial losses. To avoid the storage of a large amount of data, the first task in monitoring the power quality is the realtime detection of disturbances, which must be performed by an accurate and low-complexity system. This paper proposes a low-complexity system for power quality disturbance detection. The method makes innovative use of simple features extracted from reduced segments of the monitored voltage waveform. The extract features (the mean value, variance, energy, and the maximum and minimum values of the filtered voltage signals) require low computational effort and allow a considerable dimensional reduction of the signals, leading to simple detection algorithms. The proposed method achieves high detection rates on both simulated and real signals.

Phasor estimation in power systems using a neural network with online training for numerical relays purposes

2015 ◽  
Vol 9 (7) ◽  
pp. 836-841 ◽  
Author(s):  
Chrystian Dalla Lana da Silva ◽  
Lenois Mariotto ◽  
Gustavo Marchesan ◽  
Ghendy Cardoso Junior
Keyword(s):  
Neural Network ◽  
Power Systems ◽  
Online Training ◽  
Phasor Estimation

scholarly journals Phasor Estimation of Transient Electrical Signals Composed of Harmonics and Interharmonics

Energies ◽  
2021 ◽  
Vol 14 (16) ◽  
pp. 5166
Author(s):  
Jon Vazquez ◽  
Jose Felix Miñambres ◽  
Miguel Angel Zorrozua ◽  
Jorge Lázaro
Keyword(s):  
Power Systems ◽  
Digital Filter ◽  
Digital Filters ◽  
Fault Location ◽  
Electrical Power ◽  
Poor Response ◽  
Electrical Network ◽  
Effective Response ◽  
Transient Signals ◽  
Phasor Estimation

Numerical relays have become essential tools for carrying out the protection and surveillance tasks of electrical power systems. These relays implement their functions from the phasors of the electrical network signals, estimated by digital processing using digital filters. Digital filters must meet certain requirements, such as providing a fast and effective response to increasingly complex transient signals made up of components that make the estimation process difficult. In addition to the decreasing exponential (decaying dc offset), harmonics, and signal noise, it must be added that the interharmonic components that in recent years have acquired great relevance, mainly because of the increase in non-linear loads and the extensive use of power electronic systems. The presence of these interharmonic components causes a poor response in most of the filters implemented today. This article presents the design of a new digital filter, C-CharmDF (Cleaned Characteristic Harmonic Digital Filter) for phasor estimation on noisy transient signals with decreasing exponential components, harmonics, and interharmonics. A detailed study was carried out for severe transient situations and stationary signals. It was found that the method can be suitable for relays that implement both fault location functions and system protection functions.

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