Influence of Capacitive Effects on Transformer Windings

For years, capacitive effects have been the subject of research [1] and [2]. The capacitive effects are discrete capacitors that appear between active conductors of power lines and between them with the ground plane, generating capacitive reactive power to the network [1] and [2]. Indeed, it must be noted that these effects affect the windings of the transformer when the coupling is in star or triangle. This study is conducted to show that capacitive effects affect transformer windings differently when coupling is in stars or triangles. The results obtained are interesting and can be exploited in electrical transmission networks to ensure a long lifespan of transformers.

Diagnosis of Disc Space Variation Fault Degree of Transformer Winding Based on K-Nearest Neighbor Algorithm

Winding is one of themost important components in power transformers.Ensuring the health state of the winding is of great importance to the stable operation of the power system.To efficiently and accurately diagnose the disc space variation(DSV)fault degree of transformer winding,this paper presents a diagnostic method of winding fault based on the K-Nearest Neighbor(KNN)algorithmand the frequency response analysis(FRA)method.First,a laboratory winding model is used,and DSV faults with four different degrees are achieved by changing disc space of the discs in the winding.Then,a series of FRA tests are conducted to obtain the FRA results and set up the FRA dataset.Second,ten different numerical indices are utilized to obtain features of FRA curves of faulted winding.Third,the 10-fold cross-validation method is employed to determine the optimal k-value of KNN.In addition,to improve the accuracy of the KNN model,a comparative analysis is made between the accuracy of the KNN algorithm and k-value under four distance functions.After getting the most appropriate distance metric and kvalue,the fault classificationmodel based on theKNN and FRA is constructed and it is used to classify the degrees of DSV faults.The identification accuracy rate of the proposed model is up to 98.30%.Finally,the performance of the model is presented by comparing with the support vector machine(SVM),SVM optimized by the particle swarmoptimization(PSO-SVM)method,and randomforest(RF).The results show that the diagnosis accuracy of the proposed model is the highest and the model can be used to accurately diagnose the DSV fault degrees of the winding.

A Multi Input Multi Output Converter for Hybrid Energy Systems

Multi input and multi output converters are becoming popular because they are cost effective and compact. This paper proposes a multi input multi output converter for Grid-Solar power integration for uninterrupted power supply. The proposed converter uses four winding transformer with two primary windings and two secondary windings. The grid supply is connected to the first winding of transformer through rectifier-inverter for controlled power transfer. The solar energy is inverted and applied to the second winding of primary. Two output ports are considered. The circuit is designed to get zero current switching during turn-off and zero voltage switching during turn-on to alleviate the switching losses. The simulation results for the proposed configuration are presented in this paper.

Improvement of admittance measurements for modeling of an ungrounded reactor/transformer winding

In this paper,a model of an ungrounded reactor winding is developed for transient voltage studies.The developed model is a black box model where the state-space model is developed using the directly measured admittance matrix of the reactor winding.Furthermore,an improved model is developed,where the accuracy of the admittance matrix measurement set in the low frequency band is obtained indirectly using an additional set of voltage ratio measurements.When the measured admittances are low,the accuracy of the diagonal admittance vectors in the low frequency band is low as well.However,the accuracy at low frequencies obtained using the indirect measurements is improved at nodes with the lowest admittances.In this paper,different approaches for indirect measurements are studied and the most accurate method is identified considering the physical structure of windings.