Review
Chemistry, Multidisciplinary
Zulbirri Faizol, Farid Zubir, Norhafezaidi Mat Saman, Mohd Hafizi Ahmad, Mohamad Kamal A. Rahim, Osman Ayop, Muzammil Jusoh, Huda A. Majid, Zubaida Yusoff
Summary: This article reviews the current methods for detecting and locating partial discharge signals in high-voltage equipment, compares their efficacy, and summarizes the future direction of research in PD detection.
APPLIED SCIENCES-BASEL
(2023)
Article
Engineering, Electrical & Electronic
Lakshmi Tharamal, P. Preetha, T. K. Sindhu
Summary: This article proposes a method to classify in-service transformer oil by assessing its level of degradation through partial discharge testing. Statistical analysis and postprocessing techniques are applied, resulting in a high level of classification accuracy. This research is of great importance for ensuring the integrity and reliability of transformer equipment.
IEEE TRANSACTIONS ON INSTRUMENTATION AND MEASUREMENT
(2022)
Article
Automation & Control Systems
Jun Jia, Chengbo Hu, Qiang Yang, Yuncai Lu, Bo Wang, Hengyang Zhao
Summary: The article presents an algorithmic solution based on the time difference of arrival algorithm and semidefinite relaxation convex optimization to improve the accuracy of PD source localization. It fully considers the refraction and diffraction errors, measurement errors, and their relationship in the process of PD signal propagation. The proposed solution outperforms existing algorithms with a localization error of about 0.1 m, as confirmed through simulation, testbed, and field experiments.
IEEE TRANSACTIONS ON INDUSTRIAL INFORMATICS
(2021)
Article
Engineering, Electrical & Electronic
Mohammad Amin Jangjoo, Mehdi Allahbakhshi, Hassan Reza Mirzaei
Summary: Partial discharge (PD) localization in power transformers using the ultra-high frequency (UHF) technique based on time difference of arrival equations is advanced. By receiving and processing PD electromagnetic waves (EMWs) through installed sensors on the tank, the PD location can be estimated. The UHF method for localization accuracy is affected by non-line of sight propagation, EMW reflection and refraction, and arrival time detection error. This study proposes a new method using the distance between hyperbolic surfaces to determine optimal sensor installation positions on the tank.
ELECTRIC POWER SYSTEMS RESEARCH
(2023)
Article
Energy & Fuels
Beki Sekongo, Stephan Brettschneider, U. Mohan Rao, Issouf Fofana, Marouane Jabbari, Patrick Picher, Zie Yeo
Summary: This article investigates the breakdown behavior of ester fluids under prolonged usage conditions and evaluates important characteristics. It is found that ester liquids generally perform better than mineral oil in many cases. Additionally, the radius of curvature and thermal aging have an impact on the performance of ester fluids.
Article
Engineering, Multidisciplinary
Walid S. S. Salah, Ahmed H. H. Gad, Mahmoud A. A. Attia, Soliman M. M. Eldebeikey, Abdelhady R. R. Salama
Summary: This research presents a design for a compact double layer printed UHF antenna to detect and discriminate various types of PD activity in a power transformer. The designed antenna has a small/simple size and ultra-wide frequency passband, making it suitable for detecting different types of PD activity in power transformers.
AIN SHAMS ENGINEERING JOURNAL
(2022)
Article
Engineering, Electrical & Electronic
Lijun Zhou, Junyi Cai, Junjie Hu, Guangya Lang, Lei Guo, Liao Wei
Summary: The velocity of the acoustic signal generated by partial discharge in transformers is significantly affected by temperature, as the thermosiphon effect leads to a gradual decrease in internal temperature from top to bottom. The proposed correction-iteration method considers the influence of insulation oil temperature rise and transformer internal structure to improve the accuracy of PD localization results. The effectiveness of the method is validated through simulations and experiments, showing that the localization error is positively correlated with temperature rise, and the results obtained are more accurate compared to other localization methods.
IEEE TRANSACTIONS ON POWER DELIVERY
(2021)
Article
Automation & Control Systems
Junyi Cai, Lijun Zhou, Yulin Zhang, Dongyang Wang, Wei Liao, Chenqingyu Zhang
Summary: This article proposes an approach for online localization of multiple PD sources using single-channel mixed acoustic emission (AE) signal. The approach utilizes a combined method and a difference selection algorithm to separate the mixed AE signals and solve the problem of multiple PD source localization. The effectiveness of the proposed approach is verified through simulation and measurement signals, and it is successfully applied to a transformer for multisource PD localization.
IEEE TRANSACTIONS ON INDUSTRIAL ELECTRONICS
(2022)
Article
Chemistry, Analytical
Sayed A. Ward, Adel El-Faraskoury, Mohamed Badawi, Shimaa A. Ibrahim, Karar Mahmoud, Matti Lehtonen, Mohamed M. F. Darwish
Summary: Integration of various techniques in dissolved gas analysis (DGA) improves fault monitoring and demonstrates the importance of using different diagnostic methods for power transformers. Experimental setup and results from the Egyptian Electricity Transmission Company (EETC) support the effectiveness of combining techniques for precise interpretation of transformer conditions.
Article
Engineering, Chemical
Leixiong Wang, Bo Wang, Hengrui Ma, Jiaxing Zhang, Yifan He, Hongxia Wang, Hanqi Zhang
Summary: This paper proposes two power cable status evaluation methods based on electrical tree growth and data association rules. The first method calculates the probability of PD failure of cables based on the length of electrical tree growth, while the second method analyzes status parameters to establish a comprehensive set of cable status parameters for evaluation. Simulation results confirm the effectiveness and accuracy of both methods.
Article
Chemistry, Physical
Alessandra Toniato, Alain C. Vaucher, Marzena Maria Lehmann, Torsten Luksch, Philippe Schwaller, Marco Stenta, Teodoro Laino
Summary: Language models are poised to play a pivotal role in the upcoming industrial revolution, especially in the chemical industry. However, the lack of universally available data sets often limits the accuracy of these models. To improve performance, organizations need to incorporate proprietary data sets into their model training processes. This study presents a successful methodology for retraining language models using proprietary data, resulting in increased accuracy for chemical applications and providing guidelines for customization in different corporate settings.
CHEMISTRY OF MATERIALS
(2023)
Review
Computer Science, Information Systems
Md Rashid Hussain, Shady S. Refaat, Haitham Abu-Rub
Summary: This paper reviews and evaluates the current state-of-the-art methods for partial discharge detection and localization in power transformers, highlighting detailed comparisons and discussions on the drawbacks and challenges of different detection techniques. Additionally, it briefly addresses PD denoising signals, feature extraction of PD signals, and classification of partial discharge sources.
Article
Chemistry, Analytical
Wojciech Sikorski, Artur Wielewski
Summary: The article explains the construction of a low-cost, portable online PD monitoring system based on the acoustic emission (AE) technique. The system utilizes a highly sensitive piezoelectric transducer as the PD detector and a Teensy 3.2 development board for counting AE pulses. The system's advantages include its small size, easy installation, storage of data, battery power supply, and immediate readiness for operation.
Article
Chemistry, Physical
Vladimir Poluzanski, Nenad Kartalovic, Bosko Nikolic
Summary: This research analyzes the influence of transformer oil temperature on the accuracy of the all-acoustic non-iterative method for partial discharge location, quantifying the contribution through analytical, statistical, and Monte Carlo methods. The study reveals that the contribution varies significantly with different positions of partial discharge and acoustic sensors, proposing a procedure to control the contribution in practice.
Article
Engineering, Electrical & Electronic
Peyman Rezaei Baravati, Seyed Mohammad Hassan Hosseini, Majid Moazzami
Summary: The article introduces the method of accurate simulation of fast transient phenomena and partial discharge research based on winding modeling, proposing the CMTL model and improved RLC model as solutions. The improved RLC model is shown to have the same accuracy as the CMTL model in terms of frequency validity range and computational complexity.
IEEE TRANSACTIONS ON INSTRUMENTATION AND MEASUREMENT
(2021)
Review
Chemistry, Analytical
Hua Chai, B. T. Phung, Steve Mitchell
Article
Engineering, Electrical & Electronic
Keyvan Firuzi, Mehdi Vakilian, B. Toan Phung, Trevor R. Blackburn
IEEE TRANSACTIONS ON POWER DELIVERY
(2019)
Article
Engineering, Electrical & Electronic
Keyvan Firuzi, Mehdi Vakilian, B. Toan Phung, Trevor R. Blackburn
IEEE TRANSACTIONS ON POWER DELIVERY
(2019)
Article
Engineering, Electrical & Electronic
S. Morsalin, B. T. Phung
IEEE TRANSACTIONS ON DIELECTRICS AND ELECTRICAL INSULATION
(2020)
Article
Materials Science, Characterization & Testing
Sayidul Morsalin, Toan Phung
Article
Polymer Science
Muhammad Tariq Nazir, Faizan Tahir Butt, Bao Toan Phung, Guan Heng Yeoh, Ghulam Yasin, Shakeel Akram, Muhammad Shoaib Bhutta, Shahid Hussain, Tuan Anh Nguyen
Article
Energy & Fuels
Miao Li, Daming Zhang, Shibo Lu, Xiuhui Tang, Toan Phung
Summary: This paper presents a novel differential evolution (DE) based protection framework for DC microgrids, which establishes an overcurrent protection scheme through simplified models and innovative calculation methods. Extensive simulation studies have verified its effectiveness.
Article
Polymer Science
Muhammad Tariq Nazir, Arslan Khalid, Imrana Kabir, Cheng Wang, Juan-Carlos Baena, Shakeel Akram, Muhammad Shoaib Bhutta, Ghulam Yasin, Bao Toan Phung, Guan Heng Yeoh
Summary: Room temperature vulcanized silicone rubber filled with aluminum trihydrate (ATH) is widely used for electrical outdoor insulation, but it lacks sufficient flame retardancy. Adding graphene nanoplatelets to ATH filled silicone rubber significantly reduces heat release rate and smoke release rate, while maintaining electrical insulation properties. This method is an effective approach to fabricate flame retardant silicone rubber with acceptable electrical insulation performance.
Article
Engineering, Electrical & Electronic
Leonardo Silvestri, Yingge Chen, Zourab Brodzeli, Tharmakulasingam Sirojan, Shibo Lu, Zhenyu Liu, Toan Phung, Francois Ladouceur
Summary: A novel optical sensing technology has been proposed for measuring voltage and current from overhead power lines in real time using liquid crystal based transducers. The proof-of-principle system demonstrated good accuracy, small phase shift, and adequate bandwidth for power quality and fault monitoring applications. Experimental results showed excellent agreement with commercial reference probes, with the system being adaptable to different voltage levels.
IEEE SENSORS JOURNAL
(2021)
Article
Engineering, Multidisciplinary
Venera Nurmanova, Yerbol Akhmetov, Mehdi Bagheri, Amin Zollanvari, B. T. Phung, Gevork B. Gharehpetian
Summary: Frequency response analysis is an efficient method for evaluating the mechanical integrity of transformers. This article proposes a new method that utilizes multiple statistical indicators to classify transformer operating conditions and estimate the level of confidence in decisions made. The practical implementation of the method has shown reliable results.
IEEE TRANSACTIONS ON INDUSTRY APPLICATIONS
(2022)
Article
Engineering, Electrical & Electronic
Mahmoudreza Ghadi-Sahebi, Reza Ebrahimi, Vahid Parvin-darabad
Summary: This article presents a new probabilistic operation management model for a microgrid system with renewable sources and smart parking lots. The model, based on demand response programming, provides a scenario-based weighted objective function for energy management, considering uncertainties of renewable sources and parking lots. The proposed method shows good performance in tests on the IEEE 33-bus system.
INTERNATIONAL TRANSACTIONS ON ELECTRICAL ENERGY SYSTEMS
(2021)
Article
Materials Science, Composites
M. Tariq Nazir, Arslan Khalid, Cheng Wang, Juan-Carlos Baena, Imrana Kabir, Shakeel Akram, Ashish Paramane, Inzamam Ul Haq, B. Toan Phung, Guan H. Yeoh
Summary: This study investigated the fire and smoke behavior of silicone rubber filled with alumina trihydrate, milled glass fiber rods, and graphene nanosheets. Results showed a significant reduction in fire and smoke parameters of the filled composites, with graphene nanosheets leading to a notable decrease in total heat release and smoke release. Additionally, the inner char residue in the filled composites was found to be rigid and compact, providing insulation against heat transfer.
COMPOSITES COMMUNICATIONS
(2022)
Article
Materials Science, Composites
M. Tariq Nazir, A. Khalid, C. Wang, J. C. Baena, G. H. Yeoh, B. T. Phung, S. Akram, Y. Li, K. L. Wong
Summary: In this study, the thermal stability, thermal conductivity, and fire performance of silicone elastomer composites were improved by incorporating graphene nanoplatelets and milled E-glass fibers.
COMPOSITES COMMUNICATIONS
(2022)
Article
Chemistry, Physical
M. Tariq Nazir, A. Khalid, C. Wang, J-C Baena, B. T. Phung, S. Akram, K. L. Wong, G. H. Yeoh
Summary: The improvement of electrical insulation performance of pure PDMS materials during a wildfire event was explored in this study. The results showed that SR composites prepared with MGFs and GNPs can further enhance the properties of pure ATH-filled PDMS. SR4 and SR5 exhibited significantly improved LOI and maintained a high level of static contact angle, demonstrating good fire retardancy, mechanical strength, and hydrophobicity.
SURFACES AND INTERFACES
(2022)
Article
Computer Science, Hardware & Architecture
Tharmakulasingam Sirojan, Shibo Lu, B. T. Phung, Daming Zhang, Eliathamby Ambikairajah
Summary: High impedance faults on overhead power lines can cause fires, but they are difficult to detect using conventional protection relays. This paper proposes a deep learning-based approach in an edge device for real-time detection of high impedance faults, achieving reduced latency and higher accuracy.
IEEE TRANSACTIONS ON SUSTAINABLE COMPUTING
(2022)