Effects of multiple shapes for steady flow with transformer oil+Fe_(3)O_(4)+TiO_(2) between two stretchable rotating disks

In this study,we examine the effects of various shapes of nanoparticles in a steady flow of hybrid nanofluids between two stretchable rotating disks.The steady flow of hybrid nanofluids with transformer oil as the base fluid and Fe_(3)O_(4)+TiO_(2)as the hybrid nanofluid is considered.Several shapes of Fe_(3)O_(4)+TiO_(2)hybrid nanofluids,including sphere,brick,blade,cylinder,and platelet,are studied.Every shape exists in the same volume of a nanoparticle.The leading equations(partial differential equations(PDEs))are transformed to the nonlinear ordinary differential equations(ODEs)with the help of similarity transformations.The system of equations takes the form of ODEs depending on the boundary conditions,whose solutions are computed numerically by the bvp4c MATLAB solver.The outputs are compared with the previous findings,and an intriguing pattern is discovered,such that the tangential velocity is increased for the rotation parameter,while it is decreased by the stretching values because of the lower disk.For the reaction rate parameter,the concentration boundary layer becomes shorter,and the activation energy component increases the rate at which mass transfers come to the higher disk but have the opposite effect on the bottom disk.The ranges of various parameters taken into account are Pr=6.2,Re=2,M=1.0,φ_(1)=φ_(2)=0.03,K=0.5,S=-0.1,Br=0.3,Sc=2.0,α_(1)=0.2,γ=0.1,E_(n)=2.0,and q=1.0,and the rotation factor K is within the range of 0 to 1.

Benefits of Dielectric Oil Regeneration Systems in Power Transmission Networks: A Case Study

The criticality of transformers and reactors in the power transmission network and the paramount importance of ensuring their reliability through maintenance of the insulating oil is known. This paper presents a comprehensive examination of the efficacy and economic viability of a dielectric oil regeneration system, as implemented by the Transmission System Maintenance Department (TSMD) of the Independent Power Transmission Operator (IPTO), Greece’s sole transmission operator. Through a detailed chemical analysis and performance evaluation, we assess the impact of the regeneration system on treated insulating oil quality over multiple cycles. The study reveals that the electrical properties of the insulating oil are fully restored after regeneration, negating the need to fully replace it, while the investment becomes cost-neutral within weeks from the commissioning of the regeneration system. This economic analysis, coupled with the system’s environmental benefits of reducing waste oil generation, positions the dielectric oil regeneration system as a compelling solution for the maintenance of power transmission assets.

Coconut Fiber Pyrolysis: Bio-Oil Characterization for Potential Application as an Alternative Energy Source and Production of Bio-Degradable Plastics

The current energy crisis could be alleviated by enhancing energy generation using the abundant biomass waste resources. Agricultural and forest wastes are the leading organic waste streams that can be transformed into useful alternative energy resources. Pyrolysis is one of the technologies for converting biomass into more valuable products, such as bio-oil, bio-char, and syngas. This work investigated the production of bio-oil through batch pyrolysis technology. A fixed bed pyrolyzer was designed and fabricated for bio-oil production. The major components of the system include a fixed bed reactor, a condenser, and a bio-oil collector. The reactor was heated using a cylindrical biomass external heater. The pyrolysis process was carried out in a reactor at a pressure of 1atm and a varying operating temperature of 150˚C, 250˚C, 350˚C to 450˚C for 120 minutes. The mass of 1kg of coconut fiber was used with particle sizes between 2.36 mm - 4.75 mm. The results show that the higher the temperature, the more volume of bio-oil produced, with the highest yield being 39.2%, at 450˚C with a heating rate of 10˚C/min. The Fourier transformation Infrared (FTIR) Spectroscopy analysis was used to analyze the bio-oil components. The obtained bio-oil has a pH of 2.4, a density of 1019.385 kg/m3, and a calorific value of 17.5 MJ/kg. The analysis also showed the presence of high-oxygenated compounds;carboxylic acids, phenols, alcohols, and branched oxygenated hydrocarbons as the main compounds present in the bio-oil. The results inferred that the liquid product could be bestowed as an alternative resource for polycarbonate material production.

Reviews on Transformer Oil-based Nanofluids

目前纳米改性变压器油由于其高散热性和独特的电气性能,正受到越来越广泛的关注。以近年来纳米改性变压器油的相关研究成果为基础,分析了纳米改性变压器油在导热、击穿、老化、抗水分影响以及改性油-纸相互作用等方面的特点,并介绍了目前常用的3种用于解释绝缘油介质中纳米颗粒改性机理的理论模型,最后提出了纳米改性变压器油领域后续研究需要关注的问题,即纳米颗粒材料体系的选择、高稳定性改性变压器油的制备工艺以及纳米颗粒对变压器油的改性机理。

Decomposition of Transformer Oil Under Ultrasonic Irradiation During Degassing Process

In the degassing process of transformer oil with ultrasonic waves, decomposition of the oil was observed. Light hydrocarbons, including methane, ethane, ethylene, acetylene, propane etc, were found to be released continuously from the oil into headspace within a closed vial placed in an ultrasonic field. The gases came from decomposition of hydrocarbon molecules under cavitation effect.

A rapid method for determination of acid value in transformer oil by PPy modified electrode

A polypyrrole-modified glassy carbon electrode(PPy/GC electrode)was prepared and its electrocatalytic behavior towards naphthoquinone in the presence of acid was characterized by linear sweep voltammetry(LSV).A well-defined new reduction peak appeared at a more positive potential than the original reduction peak.The new reduction peak current was linearly related to the acid value(AV)of oil.Based on it,a rapid electrochemical method for determining AV of transformer oil was developed using PPy/GC electrode.A working curve was obtained in the AV range of 0.01 to 0.40 mg(KOH)·g-1,with a sensitivity of 39.42 μA0.5/(mg(KOH)·g-1)and the detection limit of 0.0014 mg(KOH)·g-1(signal-to-noise ratio is 3,standard deviation is 2.247%).Moreover,the proposed method has been successfully applied to AV determination of several transformer oil samples with advantages of rapidness,high sensitivity and accuracy compared to the conventional method.

Copper Release Kinetics and Ageing of Insulation Paper in Oil-Immersed Transformers

The paper provides a general overview of chemical processes leading to the degradation of oil-paper insulation in oil-immersed electrical current transformers. Previous knowledge available in literature is complemented by new results placing a specific emphasis on the physicochemical factors which affect the copper release in the insulation oil and the oil oxidation kinetics. It is demonstrated that various ageing processes interact with each other, with one or another process dominating under specific conditions. Comprehensive but disjoint studies focusing on separate sub-processes may produce rather misleading results, and occasionally, lie behind rather irrelevant quality demands imposed on the insulating liquids.

Development of a New Bio-Based Insulating Fluid from <i>Jatropha curcas</i>Oil for Power Transformers

The present work aims to develop a new vegetable insulating fluid for power transformers based on Jatropha curcas oil. Besides its technical benefits, Jatropha curcas oil has a socio-economic role by promoting income to rural families, contributing to the countryside development and avoiding rural exodus. Thus, the entire transformer oil production (extraction, processing, characterization and accelerated aging) was covered and a new process was developed. For oil extraction, the most suitable process was the solvent extraction (5 mL of hexane per gram of crushed non-peeled seeds during 30 minutes) with an oil yield of 32%. In raw oil processing stage, the degumming, with 0.4 g of phosphoric acid per 100 g of oil, at 70°C, was used to remove phosphatides. Then, free fatty acids were 96% neutralized with a sodium hydroxide solution (0.5% w/w) at room temperature. For the oil clarification, the combination of 5% w/woil of activated carbon and 1% w/woil of MgO resulted in a bright, odorless and clear oil with an acid number of 0.04 mgKOH·g﹣1. The oil drying in a vacuum rotary evaporator, at 70°C, for 2 hours reduced the water content to 177 ppm. The processed oil was characterized following ASTM D6871 methods. This oil presented higher dielectric breakdown voltage (55 kV) than commercial transformer fluids (BIOTEMP?, EnvirotempFR3?, and Bivolt?), which increases transformer safety, capacity and lifetime. In addition, the processed oil has a lower viscosity than BIOTEMP? fluid, which can enhance the heat dissipation efficiency in the transformer. Moreover, the processed oil flash and fire points of 310°C and >340°C, respectively, confirm the great security of vegetable insulating fluids. The analyzed properties of the processed oil fulfill all the ASTM D6871, ABNT NBR 15422 and IEC 62770 specifications. Therefore, Jatropha curcas oil is a potential substitute formineral insulating fluids.

Improvement of Used Transformer Oils with Activated Bentonite

This research presents the evaluation of activated Bentonite material for treatment of used transformer oil. Different properties such as;electrical, physical, chemical and thermal of used transformer oil were meas-ured before and after purification and treatment. Two power transformers were used in this research (6.4: 4.6 MVA, 3 phases, 50 Hz). One of them was filled with purified oil and the other was filled with activated Bentonite treated oil after purification, and then the two power transformers were tested for one year under practical conditions of the operating field. Initial tests have indicated that the use of Activated BENTONITE in the treatment process for the aged transformer oil improved breakdown voltage, water content, total acidi-ty and flash point. Thus activated Bentonite gives an ideal treatment of aged transformer oil with its environmental and economic advantages. Moreover, activated Bentonite is available at many places in Egypt with low costs.

WAVELET TRANSFORM THRESHOLD NOISE REDUCTION METHODS IN THE OIL PIPELINE LEAKAGE MONITORING AND POSITIONING SYSTEM

This letter investigates the wavelet transform, as well as the principle and the method of the noise reduction based on wavelet transform, it chooses the threshold noise reduction, and discusses in detail the principles, features and design steps of the threshold method. Rigrsure, heursure, sqtwolog and minimization four kinds of threshold selection method are compared qualitatively, and quantitatively. The wavelet analysis toolbox of MATLAB helps to realize the computer simulation of the signal noise reduction. The graphics and calculated standard deviation of the various threshold noise reductions show that, when dealing with the actual pressure signal of the oil pipeline leakage, sqtwolog threshold selection method can effectively remove the noise. Aiming to the pressure signal of the oil pipeline leakage, the best choice is the wavelet threshold noise reduction with sqtwolog threshold. The leakage point is close to the actual position, with the relative error of less than 1%.

A Temperature Prediction Model for Oil-immersed Transformer Based on Thermal-circuit Theory

This paper proposed an improved temperature prediction model for oil-immersed transformer.The influences of the environmental temperature and heat-sinking capability changing with temperature were considered.When calculating the heat dissipation from the transformer tank to surroundings,the average oil temperature was selected as the node value in the thermal circuit.The new thermal models will be validated with the delivery experimental data of three transformers: a 220 kV-300 MV.A unit,a 110 kV40 MV.A unit and a 220 kV-75 MV.A unit.Meanwhile,the results from the proposed model were also compared with two methods recommended in the IEC loading guide.

Properties of Electrical Discharges Developing in Transformer Oil Under Lightning Impulse in the Setup of Insulated Electrodes

Looking at the problem of electrical discharge development in mineral oil, it is easy to see that most studies in this area focused on the setups of bare high voltage electrodes having a point-plane electrode arrangement. The setups with insulated electrodes are the mar- gin of these studies but it seems to be important to find the dependences between the paper insulation on high voltage electrode and parameters of the discharges initiated in the vicinity of this electrode. Hence, in this paper the results of researches intended to reveal the role of insulation wrapping on a HV electrode in the mechanism of electrical discharges in transformer oil under lightning impulse of both polar- ities are presented. This role is determined by analysis of the parameters characterizing the discharges (onset voltage, propagation velocity, time to initiation, rise-time of light impulses) and also by observation of their spatio-temporal development and oscillograms of the light emitted by their channels. The research was performed for two model electrode configurations: an electrode with paper insulation and a bare electrode which had the same outer dimensions as the insulated one. The most essential conclusion from performed experiment is related to times to initiation. These times, equal in the case of insulated electrodes and model bare electrode, indicate that the source of "weak points" of the paper-oil insulation system is the oil, not the surface of insulation wrapping or the metal.

低频电压下含纤维素颗粒变压器油绝缘特性及影响因素

低频变压器是低频输电系统中的关键设备,低频电压下的绝缘特性对其设计及运行具有重要意义。该文为了研究低频电压下含纤维素颗粒的变压器油的绝缘特性,分别研究20、30、40、50 Hz四种频率交流电压下不同纤维素颗粒度(低、中、高)水平的变压器油击穿特性。同时,通过仿真及试验分析不同频率下变压器油中纤维素颗粒运动及积聚过程。研究结果表明,交流电压频率对变压器油中纤维素颗粒的成桥特性及击穿电压具有显著影响。随着频率的降低,纤维素颗粒向电极移动速度变慢并难以黏附在电极表面,减缓了纤维素颗粒在电极表面的积聚过程及杂质小桥的形成速度。相同频率交流电压下,变压器油击穿电压均随颗粒物浓度的升高而降低;相同纤维素颗粒浓度下,变压器油击穿电压随着频率的降低而增大。研究结果为低频变压器的设计及运行维护提供了基础数据支撑。

变压器油在线检测与故障预警系统实验装置设计

电力变压器在电网中担任着核心角色,但是目前的维修模式存在着盲目强制性,往往消耗大量人力物力,为解决此现象,通过研发变压器油在线检测与故障预警系统实验装置,建立应修尽修的预测性维修模式,实现变压器在线运行状态实时监测,运行故障分析预警功能。通过FreeRTOS并行实时采集数据变压器油的基础数据,利用python的pytorch深度学习模型处理数据,实现通过变压器油间接监测变压器的运行状态,上报实时数据与预警信息,减少由于故障引发事故发生的概率,节省变压器检修的人力物力消耗,加快我国智慧电网的建设过程。

Extensions to the Finite Element Technique for the Magneto-Thermal Analysis of Aged Oil Cooled-Insulated Power Transformers

It is well known that the hot spot temperature represents the most critical parameter identifying the power rating of a transformer. This paper investigates the effect of the degradation of core magnetic properties on temperature variation of aged oil-cooled transformers. Within this work, 2D accurate assessment of time average flux density distribution in an oil insulated-cooled 25 MVA transformer has been computed using finite-element analysis taking into account ageing and stress-induced non-uniform core permeability values. Knowing the core material specific loss and winding details, local core and winding losses are converted into heat. Based upon the ambient temperature outside the transformer tank and thermal heat transfer related factors, the detailed thermal modeling and analysis have then been carried out to determine temperature distribution everywhere. Analytical details and simulation results demonstrating effects of core magnetic properties degradation on hot spot temperatures of the transformer’s components are given in the paper.

基于二元相关退化的动车组车载变压器油纸绝缘剩余寿命预测

针对动车组车载变压器油纸绝缘剩余寿命预测中单性能退化指标难以全面反映油纸绝缘退化过程的问题,考虑车载变压器油纸绝缘退化的个体差异性及两性能指标间的相关关系,提出了基于Copula函数的两性能指标相关退化的油纸绝缘剩余寿命预测方法:采用具有随机效应的维纳过程建立油纸绝缘的两性能指标相关退化模型,基于赤池信息准则(Akaike Information Criterion, AIC)选择拟合效果更优的Copula函数来描述两性能指标间的相关关系,采用最大似然估计法估计初始时刻的模型参数,基于序列贝叶斯更新方法在线更新退化模型中的漂移系数,以实现油纸绝缘剩余寿命的在线预测。最后以加速热老化试验下油纸绝缘的聚合度和抗拉强度的退化数据进行实例验证。结果表明,两性能指标相关退化模型比单性能指标退化模型的剩余寿命预测值与实际值之间的平均绝对误差更小,预测的准确性更高,且随着模型参数不断更新,剩余寿命的预测值与实际值间的绝对误差在不断减小,预测结果的准确性在不断提升。

基于FBG信号和DECE-PCA-BHOSVM的变压器绕组径向松动状态评估

变压器作为电力系统的关键设备,其绕组松动状态的识别对电网的稳定运行具有重要意义。针对传统监测方法环境干扰较大、应用复杂等问题,提出了使用两类不同的布拉格光纤光栅(Fiber bragg grating,FBG)传感器采集变压器绕组关键测点温度与应变信号,经快速解耦与自适应噪声完备集合经验模态分解后(Fast decoupling and complete ensemble empirical mode decomposition with adaptive noise,DECE),提取关键参数并进行主元分析(Principal component analysis,PCA)。对降维后的特征采用基于黑洞优化的支持向量机(Support vector machine based on black hole optimization,BHOSVM)进行分类,实现对变压器绕组径向松动状态的监测与定位。诊断结果表明,所提诊断方法对变压器绕组径向松动状态的识别准确率达到96.8%。

基于Twin Builder的110kV油浸式变压器3维磁场降阶模型及损耗分析

为解决3维变压器磁场有限元仿真计算效率低的问题,提出基于本征正交分解法的磁场降阶模型与基于二次多项式的损耗响应面模型。以1台110 kV变压器为算例,首先建立了考虑绕组涡流损耗的变压器磁场仿真模型,通过仿真分析了其在额定工况下的磁场及损耗分布;其次,通过仿真试验设计获取了多组工况下的磁场与损耗数据,在Twin Builder中训练得到变压器磁场的各降阶模块;最后,搭建面向数字孪生应用的变压器3维磁场降阶模型,实现了变压器磁场损耗的快速计算与云图分布的可视化。与计算单数据相比,仿真结果考虑了涡流效应的绕组损耗在靠近端部时有明显升高,最大值分别出现在高、低压绕组两端,约为绕组中部损耗的1.3~1.65倍。基于该磁场结果建立的降阶模型在计算效率方面较全阶模型有显著提升,将实际仿真时间缩短至0.76s,可满足数字孪生应用场景下的磁场快速计算需求。

红外、拉曼光谱的变压器油中糠醛检测方法对比研究

变压器油中的糠醛含量是电力变压器中绝缘老化的重要指标之一,在物质有效识别上红外及拉曼光谱具有检测速度快、分析速率快及无损检测等优势,开展了基于红外、拉曼光谱的变压器油中糠醛检测方法对比,探究适用于变压器油中糠醛红外、拉曼光谱的预处理及定量分析方法。基于傅里叶变换红外光谱仪和激光共聚焦拉曼光谱仪器对实验室配置的糠醛变压器油样检测并采集其光谱数据,采用小波变换、多项式最小二乘法和局部加权回归拟合对采集到的红外及拉曼光谱图进行预处理,综合考虑噪声、分辨率及有效信息丢失等,确定了多项式最小二乘法预处理效果最佳。基于高斯软件建立了糠醛分子模型,通过密度泛函仿真计算,研究了糠醛的红外及拉曼光谱吸收峰归属,结合实验测试光谱图,确定了变压器油中糠醛拉曼、红外检测特征峰分别为1 703和1 704 cm^(-1)。开展了红外及拉曼检测的重复性实验,两种检测方法的相对标准偏差分别为7.21%、 8.67%。通过绘制糠醛红外及拉曼的3D原位光谱图,分析红外及拉曼特征峰面积与不同糠醛浓度变压器油之间的关系,基于最小二乘法建立了变压器油中糠醛检测的红外及拉曼定量分析模型,拟合优度分别为0.998和0.885。对比两种检测方法的定量分析模型预测结果,表明拉曼光谱法检测下限低于红外光谱法,通过多项式最小二乘法预处理的光谱数据所构建的变压器油中糠醛检测红外及拉曼定量分析模型可以很好地预测变压器油中糠醛含量,为相关领域研究提供技术参考。