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Breakdown Voltage Prediction by Utilizing the Behavior of Natural Ester for Transformer Applications
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作者 P.Samuel Pakianathan R.V.Maheswari 《Intelligent Automation & Soft Computing》 SCIE 2023年第3期2717-2736,共20页
This research investigates the dielectric performance of Natural Ester(NE)using the Partial Differential Equation(PDE)tool and analyzes dielectric performance using fuzzy logic.NE nowadays is found to replace Mineral ... This research investigates the dielectric performance of Natural Ester(NE)using the Partial Differential Equation(PDE)tool and analyzes dielectric performance using fuzzy logic.NE nowadays is found to replace Mineral Oil(MO)due to its extensive dielectric properties.Here,the heat-tolerant Natural Esters Olive oil(NE1),Sunflower oil(NE2),and Ricebran oil(NE3)are subjected to High Voltage AC(HVAC)under different electrodes configurations.The break-down voltage and leakage current of NE1,NE2,and NE3 under Point-Point(P-P),Sphere-Sphere(S-S),Plane-Plane(PL-PL),and Rod-Rod(R-R)are measured,and survival probability is presented.The electricfield distribution is analyzed using the Partial Differential Equation(PDE)tool.NE shows better HVAC with stand capacity under all the electrodes configuration,especially in the S-S shape geometry.The exponential function is developed for the oils under different elec-trode geometry;NE shows a higher survival probability.Likewise,the most influ-ential dielectric properties such as breakdown voltage,kinematic viscosity,and water content are used to develop a Mamdani-based control system model that combines two variables to produce the surface model.The surface model indi-cates that the NE subjected for investigation is less susceptible to moisture effect and higher kinematic viscosity.Based on the surface models of PDE and fuzzy,it is concluded that NE possesses a high survival rate since its breakdown voltage does not react to changes in water content.Hence the application of NE in the transformer application is highly safe and possesses extended life. 展开更多
关键词 Power transformer fuzzy logic prediction partial differential equation natural ester exponential function
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Nano-modifiers enhance the performance of natural ester transformer oils:challenges and future directions
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作者 Deliang Guo Zhuqi Xue +4 位作者 Yiming Yin Haitao Duan Xinru Wang Linlin Duan Sheng Han 《Frontiers of Chemical Science and Engineering》 2025年第6期1-24,共24页
Natural esters exhibit excellent flame retardant and biodegradability,which help minimize power accidents and reduce environmental impact.These qualities make natural esters a promising alternative to conventional tra... Natural esters exhibit excellent flame retardant and biodegradability,which help minimize power accidents and reduce environmental impact.These qualities make natural esters a promising alternative to conventional transformer insulating oils.However,the practical applications of natural esters in power equipment have been significantly restricted by their inherent limitations,including elevated viscosity,high dielectric loss,and poor oxidative stability.Nano-modification technologies present a novel methodological approach to solve these inherent constraints.A systematic analysis of the latest research developments in nano-modified natural ester transformer oils is provided in this review.The properties of various natural esters are examined,and their suitability as base fluids is evaluated,while the modification effects and mechanisms of typical nano-additives are comprehensively reviewed.The key role of nano-modification technology in improving the overall performance of natural esters is elucidated through detailed analysis of how nanoparticles influence physical properties,dielectric properties,and oxidative stability.In addition,the practical challenges facing nano-modification technology are addressed,providing valuable theoretical guidance for future developments in this field. 展开更多
关键词 transformer oil natural ester insulating oil NANOPARTICLES dielectric properties
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Performance evaluation of natural esters and dielectric correlation assessment using artificial neural network(ANN)
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作者 Raymon Antony Raj Ravi Samikannu +1 位作者 Abid Yahya Modisa Mosalaosi 《Journal of Advanced Dielectrics》 CAS 2020年第5期69-78,共10页
The performance of correlation between the dielectric parameters of Baobab Oil(BAO)and Mongongo Oil(MGO)is evaluated using Artificial Neural Network(ANN).The BAO and MGO naturally own high Unsaturated Fatty Acids(UFAs... The performance of correlation between the dielectric parameters of Baobab Oil(BAO)and Mongongo Oil(MGO)is evaluated using Artificial Neural Network(ANN).The BAO and MGO naturally own high Unsaturated Fatty Acids(UFAs)and are highly biodegradable.The temperature studies and dielectric studies are carried out and found that the Natural Esters(NEs)show a reliable performance over mineral oil-based Transformer Oil(TO).Further the endurance test,Partial Discharge Inception Voltage(PDIV)repetition rate and drop after 30 days,dielectric measurements are done as per the standards of IEC(International Electrotechnical Commission)and ASTM(American Society for Testing and Materials).The NEs show stable performance under PDIV and show minimum repetition rate when compared to the TO.The C10H22 or Kerosene(KER)and NEs mixture prove that the NE-based transformer fluids show lesser tendency to hydro peroxidation.The C10H22 acts as a thinning agent and reduces the ageing rate of the NEs,and this leads to slower rate of water saturation.This in turn increases the thermal conductivity of the oil and nearly a 30-days thermal ageing of the oil samples at 90°C shows better strength of liquid insulation.The performance of association between the dielectric properties like breakdown voltage and water content,dissipation factor and thermal conduc-tivity prove that the NEs show consistent performance and is a better substitute for the mineral oil-based TO. 展开更多
关键词 Power transformer distribution transformer natural esters mineral oil KEROSENE artificial neural network
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Comparative Study of Streamers' Characteristics in Different Seed Based Insulating Oils under Lightning Impulse Voltages
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作者 Abderrahmane Beroual1 Viet-Hung Dang +1 位作者 Essam Al-Ammar Muhammad Iqbal Qureshi 《Journal of Energy and Power Engineering》 2014年第4期735-740,共6页
This paper is aimed at the streamers in natural esters (vegetable oils) in point--plane electrode arrangement under lightning impulse voltage. The shape, stopping length, velocity and current of streamers are invest... This paper is aimed at the streamers in natural esters (vegetable oils) in point--plane electrode arrangement under lightning impulse voltage. The shape, stopping length, velocity and current of streamers are investigated. Six untreated commercial oils extracted from grape seeds, sunflower and rape seeds, corn, rice and sesame that could constitute potential liquids for high voltage applications are tested. A naphthenic mineral oil is also tested for comparison. It's shown that the streamers are filamentary for both polarities. For a given voltage, the stopping lengths (Lf) of streamers are longer when the point is positive than when it is negative; also, except mineral oil when the point is negative, the values of Lf-are very close in all tested oils. The streamers' velocities are in the same range for all vegetable oils and they vary between 0.4 km/s and 1.2 km/s for positive polarity and 0.2 km/s and 0.8 km/s for negative polarity. 展开更多
关键词 natural esters mineral oil streamer shape stopping length streamer velocity streamer current.
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