Article
Engineering, Multidisciplinary
Subhamita Roy, Sudipta Debnath
Summary: The study proposes an algorithm for HIF detection and classification in distribution systems based on power spectral density calculation. By utilizing discrete wavelet transform to separate time and frequency information, this technique offers fast and accurate fault detection and classification with high practical value.
Article
Computer Science, Information Systems
V Ashok, Anamika Yadav
Summary: This article discusses the challenges of atypical fault scenarios in a power system network, as well as the method of extracting signal characteristics through discrete wavelet packet transform, designing fault diagnosis schemes, and applying them in practical power networks.
IEEE SYSTEMS JOURNAL
(2021)
Article
Engineering, Multidisciplinary
Loai Mohamed Ali El-Sayed, Doaa Khalil Ibrahim, Mahmoud Ibrahim Gilany, Aboul'Fotouh El'Gharably
Summary: This paper presents a scheme for detecting faults during power swing by estimating the rate of change of the ellipse circumference. The scheme has the ability to detect multiple high impedance faults during single-mode and multi-mode power swing, and it is suitable for interconnected networks.
ALEXANDRIA ENGINEERING JOURNAL
(2022)
Article
Engineering, Electrical & Electronic
M. N. O. Aires, R. P. Medeiros, F. B. Costa, K. M. Silva, J. J. Chavez, M. Popov
Summary: This study introduces a restricted earth fault protection based on the wavelet transform for detecting ground faults near the transformer neutral point, achieving a success rate of 100% and outperforming conventional methods in efficiency and speed.
ELECTRIC POWER SYSTEMS RESEARCH
(2021)
Article
Engineering, Electrical & Electronic
Gabriela Nunes Lopes, Vinicius Albernaz Lacerda, Jose Carlos Melo Vieira, Denis Vinicius Coury
Summary: High Impedance Faults (HIFs) occur when an energized conductor comes into contact with a surface of high impedance, and conventional protection methods are unable to detect them due to low fault current levels. Various signal processing techniques, such as Fourier Transform and Wavelet Transform, are used for HIF detection, but their application under specific conditions hinders comparative analyses. The study proposes assessment indices based on metrics' characteristics and their features to evaluate the performance of commonly used HIF detection methods, revealing shortcomings in distinguishing HIF from other system occurrences. System conditions and noise levels significantly impact the effectiveness of these techniques.
IEEE TRANSACTIONS ON POWER DELIVERY
(2021)
Article
Engineering, Electrical & Electronic
Rodrigo Prado Medeiros, Flavio Bezerra Costa, Kleber Melo Silva, Jose de Jesus Chavez Muro, Jose Raimundo Lima Junior, Marjan Popov
Summary: In this paper, a novel time-domain power transformer differential protection method based on Clarke and wavelet transforms is proposed. The performance validation and implementation in a real-time digital simulator demonstrate the efficiency and feasibility of the method.
IEEE TRANSACTIONS ON POWER DELIVERY
(2022)
Article
Mathematics
Katleho Moloi, Innocent Davidson
Summary: Protection schemes are essential for ensuring the reliability of an electrical power network. The detection of high impedance faults (HIF) has been a challenge for protection engineers, and this paper proposes a scheme based on signal processing and machine learning techniques to effectively detect HIF. Experimental results show a high accuracy level of 97.6% and 87% for simulation and experimental setups, respectively.
Article
Computer Science, Information Systems
Ester Hamatwi, Odunayo Imoru, Matheus M. M. Kanime, Hitila S. A. Kanelombe
Summary: This study compared the performance of three high impedance fault detection techniques in a distribution network and identified the power spectrum technique as the most suitable for detecting faults. The techniques were evaluated based on accuracy, processing time, and fault detection margin. The power spectrum technique achieved 100% accuracy, shorter processing time, and larger fault detection margin.
Article
Engineering, Multidisciplinary
S. A. Saleh, Danielle Jewett, Sergio A. R. Panetta
Summary: The selection and design of a grounding configuration and impedance are crucial for maintaining the stability and functionality of power systems. Different grounding system designs have varying effects on ground potential and current, and their capabilities and performance should be evaluated accordingly.
IEEE TRANSACTIONS ON INDUSTRY APPLICATIONS
(2022)
Article
Automation & Control Systems
D. P. S. Gomes, C. Ozansoy
Summary: This paper provides a historical narrative of the progress and developments in the field of high-impedance faults in power distribution systems. It covers seminal papers to contemporary methods and technology, along with quantitative figures on survey methods and knowledge gaps. The comprehensive review serves as a valuable reference for researchers in the field.
Article
Green & Sustainable Science & Technology
Murli Manohar, Ebha Koley, Subhojit Ghosh
Summary: The study proposes a protection scheme based on a combined framework of multiple algorithms to perform mode detection, fault detection/classification, and section identification during high impedance faults in microgrids. By incorporating online extraction of harmonic components and stochastic modelling of solar irradiance intermittency, the scheme enhances its robustness during HIF events.
IET RENEWABLE POWER GENERATION
(2021)
Article
Computer Science, Information Systems
Daniel Guillen, Jimena Olveres, Vicente Torres-Garcia, Boris Escalante-Ramirez
Summary: This study proposes a new algorithm for classifying high impedance faults (HIFs) in distribution systems using the Hermite transform as a signal processing technique. The algorithm allows analysis of signals at multiple resolution levels and different frequency bands, enabling efficient identification of HIFs and other fault types. Comparisons with the discrete wavelet transform as a signal decomposition model indicate better performance in discriminating HIFs from typical faults.
Article
Engineering, Electrical & Electronic
Cesar Galvez, Ali Abur
Summary: This paper presents a method for fault location in radial distribution networks using Discrete Wavelet Transform, which is not limited by impedance and can successfully perform under diverse conditions.
IEEE TRANSACTIONS ON POWER DELIVERY
(2021)
Article
Multidisciplinary Sciences
Majid Valizadeh, Sadegh Rahimi, Mohamad Yousefinezhad, Milad Alirezaiean
Summary: Power swings can cause issues, but usually the power system stabilizes after a power swing. This article focuses on detecting single-phase faults during power swings, particularly asymmetric power swings. The suggested approach uses wavelet transform on the zero-sequence current signal to identify the faults. Simulation and analysis results confirm the effectiveness of the proposed method.
ARABIAN JOURNAL FOR SCIENCE AND ENGINEERING
(2023)
Article
Engineering, Electrical & Electronic
Senthil Kumar Murugan, Sishaj P. Simon, Rohit Rajan Eapen
Summary: This paper introduces a novel signal localized convolution neural network (SLCNN) for power transformer differential protection. Signal localization is achieved by sequentially performing convolution on frequency and time coefficients obtained from wavelet decomposition, and the SLCNN is trained with a modified back-propagation algorithm based on its architecture. Evaluation is carried out on three power transformer test systems, with training patterns generated for various operating conditions for each transformer.
IEEE TRANSACTIONS ON POWER DELIVERY
(2022)
Article
Engineering, Electrical & Electronic
Samara Cavalcante Paiva, Ricardo Lucio de Araujo Ribeiro, Denis Keuton Alves, Flavio Bezerra Costa, Thiago de Oliveira Alves Rocha
INTERNATIONAL JOURNAL OF ELECTRICAL POWER & ENERGY SYSTEMS
(2020)
Article
Automation & Control Systems
Denis Keuton Alves, Ricardo Lucio de Araujo Ribeiro, Flavio Bezerra Costa, Thiago de Oliveira Alves Rocha, Josep M. Guerrero
Summary: This article proposes a wavelet-based monitor for grid impedance estimation, combining transient detection and impedance estimation methods, which accurately identifies the resistive and reactive components of the grid impedance.
IEEE TRANSACTIONS ON INDUSTRIAL ELECTRONICS
(2021)
Article
Engineering, Electrical & Electronic
Rafael Lucas da Silva Franca, Francisco Caninde da Silva Junior, Tiago R. Honorato, Joao Paulo G. Ribeiro, Flavio Bezerra Costa, Felipe Lopes, Kai Strunz
Summary: This paper proposes a one-terminal traveling wave-based transmission line earth fault distance protection function, which only requires the detection of the first incident modal earth fault-induced traveling waves, eliminating the need to detect wavefronts reflected from the fault point. The proposed function is more accurate and significantly reduces transmission line distance protection tripping times without dependability losses.
IEEE TRANSACTIONS ON POWER DELIVERY
(2021)
Article
Engineering, Electrical & Electronic
Huilman S. Sanca, Flavio B. Costa, Francisco C. Souza Jr, Benemar A. de Souza
Summary: In this paper, a robust three-phase distribution system frequency estimation algorithm based on the widely linear complex least mean square has been proposed, showing good accuracy and convergence speed during distributed generation. The performance of the algorithm was compared to other methods, demonstrating its effectiveness.
ELECTRIC POWER SYSTEMS RESEARCH
(2021)
Article
Engineering, Electrical & Electronic
F. P. Souza, L. F. Q. Silveira, F. B. Costa, M. M. Leal
Summary: Conventional overcurrent-based protection systems are generally insensitive to high impedance faults, which can have serious consequences. Therefore, this study proposes a method based on statistical characteristics to identify high impedance faults regardless of noise interference and overcurrent levels.
ELECTRIC POWER SYSTEMS RESEARCH
(2021)
Article
Engineering, Electrical & Electronic
Lucas D. Simoes, Hagi J. D. Costa, Matheus N. O. Aires, Rodrigo P. Medeiros, Flavio B. Costa, Arturo S. Bretas
Summary: This paper presents a power transformer differential protection scheme based on SVM and RTBSWT, achieving good performance by considering various events in synthetic data. The proposed SVM model is simple to use and suitable for practical applications.
ELECTRIC POWER SYSTEMS RESEARCH
(2021)
Article
Engineering, Electrical & Electronic
S. S. B. Azevedo, R. L. S. Franca, J. T. L. S. Campos, F. B. Costa
Summary: This work provides a comprehensive analysis of the influence of fault inception angle on fault-induced traveling waves, demonstrating that the energy of these waves changes with the fault inception angle according to a squared sinusoidal function. The study also identifies situations where there is no traveling wave for each type of fault, highlighting the importance of this analysis for the development of traveling wave-based detection, location, and protection methods.
ELECTRIC POWER SYSTEMS RESEARCH
(2021)
Article
Engineering, Electrical & Electronic
M. N. O. Aires, R. P. Medeiros, F. B. Costa, K. M. Silva, J. J. Chavez, M. Popov
Summary: This study introduces a restricted earth fault protection based on the wavelet transform for detecting ground faults near the transformer neutral point, achieving a success rate of 100% and outperforming conventional methods in efficiency and speed.
ELECTRIC POWER SYSTEMS RESEARCH
(2021)
Article
Energy & Fuels
Victor Ramon Franca Bezerra de Souza, Luciano Sales Barros, Flavio Bezerra Costa
Summary: This paper proposes a new alternative application to improve LVRT support using the arm impedance of MMC, which successfully attenuates fault impacts. The proposal does not require additional hardware or control loops, only PI controllers are needed. Evaluation of four converter topologies shows that MMC contributes better to LVRT improvement under severe grid conditions.
Article
Engineering, Electrical & Electronic
Sergey Yanchenko, Flavio B. Costa, Kai Strunz
Summary: The simulation tool developed for modeling harmonic propagation in low voltage distribution networks uses a hybrid domain approach to accurately represent nonlinear household devices and the supply network. Compared to traditional methods, the tool offers higher accuracy, shorter simulation times, and improved convergence under weak grid conditions. Two application examples demonstrate its effectiveness compared to brute force time domain modeling.
IEEE TRANSACTIONS ON POWER DELIVERY
(2021)
Article
Engineering, Electrical & Electronic
Samara de Cavalcante Paiva, Ricardo Lucio de Araujo Ribeiro, Denis Keuton Alves, Josep M. Guerrero, Thiago de Oliveira Alves Rocha, Flavio Bezerra Costa
Summary: This article introduces a wavelet-based frequency tracking monitor for low-voltage ac microgrids, utilizing a modified continuous wavelet transform algorithm for real-time applications. The method provides frequency estimation through voltage measurements and outperforms conventional estimators in terms of convergence time in experiments.
IEEE TRANSACTIONS ON POWER ELECTRONICS
(2021)
Article
Engineering, Electrical & Electronic
Rodrigo Prado Medeiros, Flavio Bezerra Costa, Kleber Melo Silva, Jose de Jesus Chavez Muro, Jose Raimundo Lima Junior, Marjan Popov
Summary: In this paper, a novel time-domain power transformer differential protection method based on Clarke and wavelet transforms is proposed. The performance validation and implementation in a real-time digital simulator demonstrate the efficiency and feasibility of the method.
IEEE TRANSACTIONS ON POWER DELIVERY
(2022)
Article
Engineering, Electrical & Electronic
Karcius M. C. Dantas, Felipe V. Lopes, Kleber M. Silva, Flavio B. Costa, Nilo S. S. Ribeiro
Summary: An approach is proposed in this paper to detect the secondary arc extinction in single-phase auto-reclosing of non-compensated transmission lines. The approach involves analyzing the line side voltage phasors in the modal domain to identify the presence and extinction of the secondary arc. It can also determine if the arc re-ignites during the line dead time. The proposed approach can be easily implemented in existing Intelligent Electronic Devices (IEDs) without additional hardware or equipment requirement.
IEEE TRANSACTIONS ON POWER DELIVERY
(2022)
Article
Automation & Control Systems
Gabriel A. Fonseca, Danton D. Ferreira, Flavio B. Costa, Aryfrance R. Almeida
Summary: Researchers proposed using the random forest method for fault classification in transmission lines, with a simple preprocessing step to improve efficiency. Comparative experiments showed that the random forest had slightly higher accuracy for testing data compared to the neural network, but the neural network exhibited better generalization capacity.
JOURNAL OF CONTROL AUTOMATION AND ELECTRICAL SYSTEMS
(2022)
Article
Engineering, Electrical & Electronic
Flavio B. B. Costa, Stefan Haselbarth, Sergey Yanchenko, Aurenice M. M. Oliveira, Kai Strunz
Summary: The increasing presence of power electronic converters, nonlinear loads, and distributed generation has resulted in higher levels of harmonic and interharmonics in power networks. This has made power quality a crucial performance indicator for both power utilities and end-users. This study introduces a novel harmonic estimation method that utilizes real-time stationary discrete wavelet packet transform (RT-SDWPT). The proposed technique decomposes the input signal into frequency bands with harmonic information and uses compensation to estimate root mean square (RMS) values of harmonics at each sampling period. Experimental results demonstrate that the proposed method outperforms traditional methods in terms of accuracy and speed.
IEEE TRANSACTIONS ON POWER DELIVERY
(2023)
