Towards Precise Interpretation of Oil Transformers via Novel Combined Techniques Based on DGA and Partial Discharge Sensors
Sayed A. Ward,Sayed A. Ward,Adel A. Elfaraskoury,Mohamed Badawi,Shimaa Adel Ibrahim,Karar Mahmoud,Karar Mahmoud,Matti Lehtonen,Mohamed M. F. Darwish,Mohamed M. F. Darwish +9 more
TLDR
In this paper, the integration between different DGA techniques not only improves the oil fault condition monitoring but also overcomes the individual weakness, and this positive feature is proved by using 532 samples from the Egyptian Electricity Transmission Company (EETC).Abstract:
Power transformers are considered important and expensive items in electrical power networks. In this regard, the early discovery of potential faults in transformers considering datasets collected from diverse sensors can guarantee the continuous operation of electrical systems. Indeed, the discontinuity of these transformers is expensive and can lead to excessive economic losses for the power utilities. Dissolved gas analysis (DGA), as well as partial discharge (PD) tests considering different intelligent sensors for the measurement process, are used as diagnostic techniques for detecting the oil insulation level. This paper includes two parts; the first part is about the integration among the diagnosis results of recognized dissolved gas analysis techniques, in this part, the proposed techniques are classified into four techniques. The integration between the different DGA techniques not only improves the oil fault condition monitoring but also overcomes the individual weakness, and this positive feature is proved by using 532 samples from the Egyptian Electricity Transmission Company (EETC). The second part overview the experimental setup for (66/11.86 kV-40 MVA) power transformer which exists in the Egyptian Electricity Transmission Company (EETC), the first section in this part analyzes the dissolved gases concentricity for many samples, and the second section illustrates the measurement of PD particularly in this case study. The results demonstrate that precise interpretation of oil transformers can be provided to system operators, thanks to the combination of the most appropriate techniques.read more
Citations
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Effective IoT-based deep learning platform for online fault diagnosis of power transformers against cyberattacks and data uncertainties
TL;DR: In this paper , a new integration of an Internet of Things (IoT) architecture with deep learning against cyberattacks for online monitoring of the power transformer status is introduced for fault diagnosis of power transformers and cyberattacks.
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Photoluminescence Spectroscopy Measurements for Effective Condition Assessment of Transformer Insulating Oil
Abdelrahman M. Alshehawy,Diaa-Eldin A. Mansour,Mohsen Ghali,Matti Lehtonen,Mohamed M. F. Darwish +4 more
TL;DR: In this paper, photoluminescence (PL) spectroscopy is introduced for the first time, for effective condition assessment of insulating oil, which involves emission processes that only occur between a narrow band of electronic states that are occupied by thermalized electrons and consequently yields a spectrum that is much narrower than that of the absorption spectrum.
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Novel Control Strategy for Enhancing Microgrid Operation Connected to Photovoltaic Generation and Energy Storage Systems
Dina Emara,Mohamed Ezzat,Almoataz Y. Abdelaziz,Karar Mahmoud,Matti Lehtonen,Mohamed M. F. Darwish +5 more
TL;DR: The enhanced operation and control of DC microgrid systems, which are based on photovoltaic modules, battery storage systems, and DC load, are presented and it is illustrated that the grid-tied mode of operation regulated by voltage source converter control offers more stability than the islanded mode.
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Power Transformer Fault Diagnosis Based on DGA Using a Convolutional Neural Network With Noise in Measurements
TL;DR: In this article, a convolutional neural network (CNN) model is proposed based on the DGA approach to accurately predict transformer fault types under different noise levels in measurements, which is applied with three categories of input ratios: conventional ratios (Rogers 4 ratios, IEC 60599 ratios, Duval triangle ratios), new ratios (five gas percentage ratios and new form six ratios), and hybrid ratios (conventional and new ratios together).
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Power transformer insulation system: A review on the reactions, fault detection, challenges and future prospects
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TL;DR: In this paper , the authors provide an in-depth discussion on the reactions that occur in the insulation system of the power transformer, namely, oxidation, hydrolysis, pyrolysis and partial discharge.
References
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Journal ArticleDOI
A review of dissolved gas analysis measurement and interpretation techniques
TL;DR: Dissolved gas analysis (DGA) has been used to assess the condition of power transformers as mentioned in this paper, which uses the concentrations of various gases dissolved in the transformer oil due to decomposition of the oil and paper insulation.
Journal ArticleDOI
Use of vegetable oils as transformer oils – a review
TL;DR: In this article, the current status of vegetable oils use as transformer oil, including their production, processing, and characterization, is reviewed and their main advantages described in comparison with mineral oil.
Journal ArticleDOI
Dissolved gas analysis evaluation in electric power transformers using conventional methods a review
Jawad Faiz,Milad Soleimani +1 more
TL;DR: In this article, the authors evaluated dissolved gas analysis (DGA) interpretation in detecting different faults and the techniques considered as conventional methods of DGA are investigated based on DGA data obtained from oil samples of real transformers.
Journal ArticleDOI
The duval pentagon-a new complementary tool for the interpretation of dissolved gas analysis in transformers
Michel Duval,Laurent Lamarre +1 more
TL;DR: In this paper, a new method is presented using 5-gas ratios in a "pentagon" representation applicable to mineral oil-filled equipment, where carbon oxides CO and CO petertodd 2>>\s are examined separately as in other methods.
Journal ArticleDOI
An Efficient Fuzzy-Logic Based Variable-Step Incremental Conductance MPPT Method for Grid-Connected PV Systems
TL;DR: In this article, a fuzzy logic based algorithm for varying the step size of the incremental conductance (INC) maximum power point tracking (MPPT) method for PV is proposed, where a variable voltage step size is estimated according to the degree of ascent or descent of the powervoltage relation.
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