An Improved Dynamic Thermal Circuit Model for Transformers and its Application to Evaluate Capacity Increase

Zhu, Lingyu; Ji, Shengchang; Zhi-yin, Qian; Li, Hualong; Ou, Xiaoxia

doi:10.1080/15325008.2017.1352629

Cited by 8 publications

(3 citation statements)

References 9 publications

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“…Authors in Reference 17 emphasised separate indoor and outdoor equivalent models for analysing the thermal behaviour of transformers at MV/LV substation. A load loss‐based heat transfer model was developed for a 220‐kV power transformer 18 . Besides the thermal nature, the loading capacity of a ‘direct‐buried’ transformer was also analysed by studying its thermal characteristics 19 .…”

Section: Introductionmentioning

confidence: 99%

Investigation on magnetostrictive behaviour of a converter transformer influenced by dominant harmonics: AFEMandANNbased approach

Yadav

Mehta

2021

Int Trans Electr Energ Syst

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Summary The introduction of harmonics to the HVDC system is imminent, which affects the components of the power system from varied perspectives. The present work emphasises analysing the behaviour of the converter transformer concerning the harmonics in the input. The process involves designing a stepped configuration of a 240‐MVA converter transformer using the finite element method (FEM). The designed model is analysed as per its structural dynamics to obtain its vibrational response for different ranges over the frequency spectrum. Furthermore, the module of acoustics and thermal analysis is coupled to the vibrational model. The coupled model serves as an efficient tool in analysing the impact of different orders of harmonics on the vibrational, acoustic and thermal performance of the core of the converter transformer. The computational effort taken in solving the coupled field problem is simplified by designing a neural network model and the prediction efficacy of the network is enhanced by using a Hybrid of Particle Swarm Optimisation and Gravitational Search Algorithm (HPSOGWO) as tuner of the internal parameters of the neural network. The significance of the designed model is also examined against other well‐versed hybrid algorithms in the literature in terms of various statistical indices.

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Section: Introductionmentioning

confidence: 99%

Investigation on magnetostrictive behaviour of a converter transformer influenced by dominant harmonics: AFEMandANNbased approach

Yadav

Mehta

2021

Int Trans Electr Energ Syst

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“…So this modelling method is easier to build and faster to calculate. LPTN model is widely used in the temperature prediction of GIS [15,16], transformers [17,18], motors [19][20][21] and other symmetrical power equipment. As the switchgear is big in volume and the thermal dissipation process is complex, there are only few LPTN models on the bus-bars other than the switchgear entity.…”

Section: Introductionmentioning

confidence: 99%

Precise multi‐dimensional temperature‐rise characterisation of switchgear based on multi‐conditional experiments and LPTN model for high‐capacity application

Wang

Xia

et al. 2020

High Voltage

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As the power load increases, the capacity of switchgear becomes larger so the problem of overheating of switchgears becomes more significant. Whether the switchgears operate safely and reliably affects the reliability and economy of the entire power system. Different methods have been tried to study the thermal problems of switchgears. However, there are few experimental studies on the switchgear entity. In this study, a series of temperature rise tests were carried out on medium‐voltage high‐capacity switchgear to explore laws of temperature rise. First, five groups of multi‐conditional experiments were carried out including changes of the load current, ventilation conditions and loop resistance. Then, multi‐dimensional temperature‐rise characterisation was analysed based on the experimental results and the relating theory. Finally, a circuit‐based lumped‐parameter thermal network (LPTN) model was developed by analysing the heat dissipation in switchgear and used to determine the steady‐state temperature distribution of the switchgear. The model is verified by comparing the simulation results with the experimental results.

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“…Genetic algorithm may be employed to extend the TEC in order to estimate the above-mentioned parameters [11,12]. Later on, extended TEC of power transformer did not model different parts individually and merely hot spot of winding and top-oil temperature within the transformer were determined [13][14][15]. However, presented models have not been so far used for thermal analysis of transformer supplied by unbalanced voltages, because they have some limitations for such applications.…”

Section: Introductionmentioning

confidence: 99%

Thermal analysis of power transformers under unbalanced supply voltage

Mikha-Beyranvand

Faiz

Rezaeealam

et al. 2019

IET Electric Power Applications

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High temperatures may damage power transformers. These problems leading to the high temperature are more revealed under non-rating operating conditions such as unbalanced supply voltage. The aim of the present study is thermal analysis of such supply and obtaining its temperature distribution. Existing thermal analysis methods through thermal equivalent circuit (TEC) have some drawbacks; in these models, thermal parameters of different regions of transformer such as core, tank, metallic parts and winding are not defined. On the other hand, those models are not applicable for thermal analysis of transformer with unbalanced supply voltage. Here, a novel TEC model is proposed which is able to define temperatures of different components of oil-immersed power transformers individually under unbalanced supply voltage. The merit of the introduced model is that losses of different parts of transformer are considered as heat generating sources which are used as the inputs of thermal model. At this end, a three-dimensional finite-element method is suggested which is able to estimate the losses of different parts of power transformer. Finally, the results of applying the TEC to the transformer are compared with the temperature distribution of finite-element modelling and high accuracy of the TEC model in estimation of the temperatures of different regions are emphasised.

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An Improved Dynamic Thermal Circuit Model for Transformers and its Application to Evaluate Capacity Increase

Cited by 8 publications

References 9 publications

Investigation on magnetostrictive behaviour of a converter transformer influenced by dominant harmonics: AFEMandANNbased approach

Investigation on magnetostrictive behaviour of a converter transformer influenced by dominant harmonics: AFEMandANNbased approach

Precise multi‐dimensional temperature‐rise characterisation of switchgear based on multi‐conditional experiments and LPTN model for high‐capacity application

Thermal analysis of power transformers under unbalanced supply voltage

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