4.4 Article

Prediction of transformer fault in cooling system using combining advanced thermal model and thermography

Journal

IET GENERATION TRANSMISSION & DISTRIBUTION
Volume 15, Issue 13, Pages 1972-1983

Publisher

INST ENGINEERING TECHNOLOGY-IET
DOI: 10.1049/gtd2.12149

Keywords

-

Ask authors/readers for more resources

This paper introduces a new advanced thermal model and utilizes thermography and computational fluid dynamic methods to predict and analyze the thermal behavior and faults of distribution transformers. Experimental validation confirms the accuracy of the proposed model.
Thermal models are widely used for diagnosing thermal faults, predicting the thermal behaviour, estimating hot spots, and evaluating the loading capacity. This paper uses a new advanced thermal model, thermography method, and computational fluid dynamic separately to obtain the top-oil and radiator temperatures. The model consists of four thermal points: the ambient, top-oil, winding, and radiator. The heat transfer phenomena between these points are modelled by nonlinear thermal resistors. Adding the radiator thermal point to the model improves the accuracy. This is shown by comparing the proposed model with the standard and physical thermal models. The proposed thermal model is validated using the experimental results of three distribution transformers. The thermography camera and image processing technique are also employed to take thermal images and analyse them, respectively. By analysing the thermal images with the image processing method, the top-oil temperature and radiator temperature are obtained. Furthermore, the computational fluid dynamic model is used to analyse and obtain more accurate prediction of the thermal behaviour of the transformer. Finally, it is proposed to detect faults inside the transformer cooling system by comparing the top-oil and radiator temperature from two methods presented, that is, advanced thermal modelling and thermography with image processing.

Authors

I am an author on this paper
Click your name to claim this paper and add it to your profile.

Reviews

Primary Rating

4.4
Not enough ratings

Secondary Ratings

Novelty
-
Significance
-
Scientific rigor
-
Rate this paper

Recommended

Review Engineering, Electrical & Electronic

Airgap and stray magnetic flux monitoring techniques for fault diagnosis of electrical machines: An overview

Ehsan Mazaheri-Tehrani, Jawad Faiz

Summary: Flux-based fault diagnosis methods have gained increasing attention for their potential diagnostic capabilities and ability to overcome weaknesses of traditional methods. This study reviews recent literature on these methods, discusses the strengths and limitations, and classifies flux-based approaches based on the type of utilized flux. Common faults in induction machines and permanent magnet machines are considered, and research gaps are identified for future research suggestions.

IET ELECTRIC POWER APPLICATIONS (2022)

Review Engineering, Electrical & Electronic

An overview of thermal modelling techniques for permanent magnet machines

Sina Khalesidoost, Jawad Faiz, Ehsan Mazaheri-Tehrani

Summary: This paper reviews the state-of-the-art of thermal modelling techniques in permanent magnet (PM) machines and provides a detailed comparison of these techniques. The paper first discusses the fundamental concepts of heat transfer and sources of heat in PM machines, and then introduces and compares different thermal modelling techniques. Finally, the utilization of these models in the thermal design, control, and monitoring of PM machines is studied.

IET SCIENCE MEASUREMENT & TECHNOLOGY (2022)

Article Computer Science, Information Systems

Distributed Cooperative Voltage Control of Multiterminal High-Voltage DC Systems

Saeed Lotfifard, Donya Nojavanzadeh, Zhenwei Liu, Ali Saberi, Anton A. Stoorvogel

Summary: This article proposes a distributed voltage control strategy for multiterminal high-voltage dc systems, which achieves fair power sharing among converters. A mathematical model is established to represent the dynamics of converters in the systems. A distributed cooperative voltage control scheme is developed, where each converter communicates with the neighboring converters to regulate the voltage of the pilot bus. The proposed method is robust against communication systems failures, multiplicative noise in communication network, and degradations.

IEEE SYSTEMS JOURNAL (2022)

Article Energy & Fuels

A Self-Starting Technique for Two-Phase Switched Reluctance Motors

Gholamreza Davarpanah, Jawad Faiz, Sajjad Mohammadi, James L. Kirtley

Summary: This paper presents a new self-starting technique for two-phase switched reluctance motors (SRMs) that offers higher efficiency and better performance compared to previous methods. Experimental results and finite element analysis confirm the advantages of the proposed topology.

IEEE TRANSACTIONS ON ENERGY CONVERSION (2022)

Article Chemistry, Multidisciplinary

Kinetic Study on Nannochloropsis Oculata's Lipid Extraction Using Supercritical CO2 and n-Hexane for Biodiesel Production

Mohammadreza Askari, Ahmad Jafari, Feridun Esmaeilzadeh, Mohammad Khorram, Amir H. Mohammadi

Summary: In this study, the kinetics of supercritical fluid extraction of lipid from Nannochloropsis oculata using supercritical CO2 were investigated. The effects of temperature, pressure, and the co-solvent n-hexane were studied. The results show that temperature and pressure have opposite effects on the kinetic constant of lipid extraction, while the addition of n-hexane improves both the yield and the rate of extraction.

ACS OMEGA (2022)

Article Engineering, Electrical & Electronic

Solution of the Continuous Time Bilinear Quadratic Regulator Problem by Krotov's Method

Arash Abyaz, Mohammad Hamed Samimi, Amir Abbas Shayegani Akmal

Summary: Condition monitoring of generators is crucial to ensure system stability and reduce outages. The partial discharge (PD) test is an effective tool for diagnosing insulation defects in generators. However, correlating the measurement results with the PD charge in generator windings is challenging, making it difficult to set a specific threshold for harmful PD activities. This paper presents a finite element method (FEM)-based model that accurately models PD pulse propagation in a wide frequency range and validates it through laboratory tests. The proposed model provides valuable insights for interpreting PD test results.

IEEE TRANSACTIONS ON POWER DELIVERY (2023)

Article Engineering, Electrical & Electronic

Design of a non-ferromagnetic spoke array Vernier permanent magnet generator with iron-bar based on enhanced equivalent magnetic network model

Mehrage Ghods, Jawad Faiz, Ehsan Rashipour, Mohammad Amin Bazrafshan, Mohammad Reza Besmi

Summary: This article introduces a special permanent magnet generator structure suitable for small-scale wind turbine generators, which has the advantages of high torque density, lightweight, and high efficiency. At the same time, an Equivalent-Magnetic-Network (EMN) model is established to accurately predict the behavior of flux lines and operating quantities of the structure, and the validity of the model is verified by comparing with finite element and experimental results.

IET ELECTRIC POWER APPLICATIONS (2023)

Article Engineering, Electrical & Electronic

Equivalent Magnetic Network Modeling of Variable-Reluctance Fractional-Slot V-Shaped Vernier Permanent Magnet Machine Based on Numerical Conformal Mapping

Mehrage Ghods, Jawad Faiz, Hamed Gorginpour, Mohammad Amin Bazrafshan, Jonas Kristiansen Noland

Summary: This article presents a new variable-reluctance fractional-slot V-shaped VPM machine, along with an innovative equivalent magnetic network model and conformal mapping method, to improve the design process and performance prediction. Compared to traditional PMSMs, this machine has higher torque density and lower torque ripple, while enhancing flux linkage and power factor.

IEEE TRANSACTIONS ON TRANSPORTATION ELECTRIFICATION (2023)

Article Engineering, Electrical & Electronic

Feasibility Study on the Detection of Turn-to-Turn Fault Severity in the Transformer Winding by Frequency Response Analysis and Numerical Indices

Mohammad Hamed Samimi, Jawad Faiz, Jafar Ghasemi Parchini

Summary: Frequency response analysis (FRA) provides valuable information on internal electrical and mechanical faults in a transformer. This paper focuses on using numerical indices for the evaluation of FRA to diagnose the turn-to-turn fault (TTF) severity of the transformer winding. The experimental and simulation results demonstrate that the numerical indices can determine the TTF severity by assessing the FRA results in a transformer winding.

ELECTRIC POWER COMPONENTS AND SYSTEMS (2023)

Article Engineering, Electrical & Electronic

Detection of Loss-of-Excitation in Synchronous Machines using Hybrid GMDH Neural Network Intelligent Algorithm in the Presence of UPFC in Power System

Ehsan Rahmkhoda, Jawad Faiz, Moein Abedini

Summary: Faults in the power system should be detected as soon as possible to prevent destructive damage to system equipment. Loss-of-excitation (LOE) in the excitation system of a synchronous generator can have harmful effects on the generator and power system. Conventional techniques for detecting LOE fault based on impedance measurement may not always be accurate, especially with the presence of flexible alternating current transmission system devices. This article proposes an algorithm that uses intelligent methods to detect LOE faults reliably and quickly, even in the presence or absence of a unified power flow compensator (UPFC), preventing maloperation of the protection system.

ELECTRIC POWER COMPONENTS AND SYSTEMS (2023)

Article Energy & Fuels

Design and Enhanced Equivalent Magnetic Network Modeling of a Fractional-Slot Spoke-Array Vernier PM Machine With Rotor Flux Barriers

Mehrage Ghods, Hamed Gorginpour, Jawad Faiz, Mohammad Amin Bazrafshan, Mohammad Sedigh Toulabi

Summary: This paper presents a fractional-slot spoke-array Vernier-PM machine with a special rotor structure for small scale electric-vehicles. The advantages of this machine include high torque-density, low weight, torque-speed curve with a wide constant torque region, promising efficiency and power-factor. An equivalent-magnetic-network (EMN) model is developed to accurately predict the behavior and operating quantities of the proposed structure.

IEEE TRANSACTIONS ON ENERGY CONVERSION (2023)

Article Automation & Control Systems

A Highly Reliable Low-Cost Single-Switch Resonant DC-DC Converter With High Gain and Low Component Count

Pouyan Pourhadi Abkenar, Mohammad Hamed Samimi, Alinaghi Marzoughi, Vahid Samavatian, Hossein Iman-Eini, Yousef Naghibzadeh

Summary: This article presents a novel low-cost, single-switch, high-step-up resonant dc-dc converter with high reliability. The proposed converter topology has a simple structure and a low count of components, achieving a low ripple input current characteristic. The circuit operates in the soft-switching condition, reducing the switching losses, and employs film capacitors instead of electrolytic capacitors to improve size and reliability. The article discusses the operational principle, steady-state analysis, and design considerations, and validates the theoretical equations through experiments.

IEEE TRANSACTIONS ON INDUSTRIAL ELECTRONICS (2023)

Article Automation & Control Systems

Signal-Model-Based Fault Diagnosis in Windings of Synchronous Generator

Zahra Masoumi, Bijan Moaveni, Sayed Mohammad Mousavi Gazafrudi, Jawad Faiz

Summary: This article presents a signal-model based fault detection, isolation, and estimation approach for diagnosing RCSAW faults in synchronous generators (SGs) by estimating the eigenvalues. The subspace identification method is used to estimate the state matrix eigenvalues, and a form of the characteristic equation is introduced for fault diagnosis of SGs under linear and nonlinear loads. Stator and field currents and voltages, as well as rotor speed, are used for fault diagnosis. The effectiveness of the proposed method is demonstrated through simulation and experimental results on a salient-pole SG in Iran-Safir (ER24) diesel-electric locomotives.

IEEE TRANSACTIONS ON INDUSTRIAL INFORMATICS (2023)

Review Energy & Fuels

A review of power system protection and asset management with machine learning techniques

Farrokh Aminifar, Moein Abedini, Turaj Amraee, Peyman Jafarian, Mohammad Hamed Samimi, Mohammad Shahidehpour

Summary: Power system protection and asset management have long been areas of interest for researchers, but they face unresolved technical challenges. The integration of renewable energy, climate change, cyberattacks, and limited investments have further complicated the situation, while advanced technologies such as machine learning offer unprecedented opportunities. However, there are still barriers and challenges to the widespread application of these techniques in real-world practices.

ENERGY SYSTEMS-OPTIMIZATION MODELING SIMULATION AND ECONOMIC ASPECTS (2022)

No Data Available