Chandima Ekanayake - Academia.edu (original) (raw)

Uploads

Papers by Chandima Ekanayake

Research paper thumbnail of An improved WT and NN ensemble demand forecast model for PV integrated smart buildings

2016 IEEE Innovative Smart Grid Technologies - Asia (ISGT-Asia), 2016

Research paper thumbnail of An improved neural ensemble framework for accurate PV output power forecast

2016 Australasian Universities Power Engineering Conference (AUPEC), 2016

Research paper thumbnail of On recent advances in PV output power forecast

Research paper thumbnail of Analysis of frequency domain dielectric response of pressboard insulation impregnated with different insulating liquids

IEEE Transactions on Dielectrics and Electrical Insulation, 2016

Research paper thumbnail of Moisture-Dependent Thermal Modelling of Power Transformer

IEEE Transactions on Power Delivery, 2016

Research paper thumbnail of Finite element method modeled dielectric response for condition evaluation of transformer insulation

2013 Annual Report Conference on Electrical Insulation and Dielectric Phenomena, 2013

ABSTRACT Defects such as cracks and voids in the insulation medium of a power transformer may aff... more ABSTRACT Defects such as cracks and voids in the insulation medium of a power transformer may affect the dielectric response of transformer insulation system. This paper uses the finite element method (FEM) to analysis the influence of electric field distribution on the dielectric response of transformer oil-paper insulation system. Firstly a simple transformer winding insulation model consisting of several layers of pressboard and oil ducts is established in FEM. Here, two circumstances are taken into consideration to represent normal insulation and insulation with cracks penetrating all the layers. The complex capacitance (real part and imaginary part) is calculated to obtain general tendency of dielectric response of winding insulation in a transformer. Secondly, this paper proposes FEM model of a three phase oil-immersed power transformer insulation system. Based on the developed model, the dependency between electric field displacement, current density at the selected point with the applied electric field is discussed in detail. Moreover, the complex capacitance of transformer insulation is also studied. This will help to understand the correlations among insulation defects, electric field variations, and dielectric response of insulation.

Research paper thumbnail of A diffusion-driven model for investigating moisture effects on dielectric response measurement of transformer insulation

2014 IEEE PES General Meeting | Conference & Exposition, 2014

Research paper thumbnail of Moisture and temperature effects on power transformer winding clamping pressure

2016 IEEE PES Asia-Pacific Power and Energy Engineering Conference (APPEEC), 2016

Research paper thumbnail of Finite element modelling of a transformer winding for vibration analysis

2016 Australasian Universities Power Engineering Conference (AUPEC), 2016

Research paper thumbnail of Effects of the Insulation Quality on the Frequency Response of Power Transformers

Journal of Electrical Engineering and Technology, 2006

Research paper thumbnail of Understanding the ageing aspects of natural ester based insulation liquid in power transformer

IEEE Transactions on Dielectrics and Electrical Insulation, 2016

Research paper thumbnail of Transformer Diagnostics Using Dissolved Gas Analysis and Polarisation and Depolarisation Current Measurements - A case study

2011 21st Australasian Universities Power Engineering Conference Aupec 2011, 2011

Research paper thumbnail of Pattern Recognition Techniques for Determining the Health Index of Oil-Paper Insulation of In-service Power Transformers

Research paper thumbnail of State of the Art Review On Managing Vegetable Oil Filled Transformers

Research paper thumbnail of A novel level-based automatic wavelet selection scheme for partial discharge measurement

2012 22nd Australasian Universities Power Engineering Conference Green Smart Grid Systems Aupec 2012, 2012

Research paper thumbnail of Machine learning techniques for power transformer insulation diagnosis

2011 21st Australasian Universities Power Engineering Conference Aupec 2011, 2011

Power transformers are one of the most critical equipments in electricity network. A number of te... more Power transformers are one of the most critical equipments in electricity network. A number of techniques such as dissolved gas analysis (DGA), polarization and depolarization currents (PDC) measurement and frequency domain spectroscopy (FDS) have been adopted across utilities for transformer insulation diagnosis. However, there are still considerable challenges remaining in interpreting measured data of these techniques. This paper develops machine learning algorithms, which utilise archived data for making insulation diagnosis on the transformer of interest. Analysis and interpretation of field test data are presented in the paper.

Research paper thumbnail of Multifractal analysis on polarisation and depolarisation current of the transformer insulation

2012 22nd Australasian Universities Power Engineering Conference Green Smart Grid Systems Aupec 2012, 2012

ABSTRACT

Research paper thumbnail of Reliability of dielectric response measurements for estimating moisture in oil impregnated paper insulation

Research paper thumbnail of Evaluating the Accuracy of Different DGA Techniques for Improving the Transformer Oil Quality Interpretation

2011 21st Australasian Universities Power Engineering Conference Aupec 2011, 2011

Research paper thumbnail of Condition Assessment of Model Transformers under Accelerated Ageing Experiments

Research paper thumbnail of An improved WT and NN ensemble demand forecast model for PV integrated smart buildings

2016 IEEE Innovative Smart Grid Technologies - Asia (ISGT-Asia), 2016

Research paper thumbnail of An improved neural ensemble framework for accurate PV output power forecast

2016 Australasian Universities Power Engineering Conference (AUPEC), 2016

Research paper thumbnail of On recent advances in PV output power forecast

Research paper thumbnail of Analysis of frequency domain dielectric response of pressboard insulation impregnated with different insulating liquids

IEEE Transactions on Dielectrics and Electrical Insulation, 2016

Research paper thumbnail of Moisture-Dependent Thermal Modelling of Power Transformer

IEEE Transactions on Power Delivery, 2016

Research paper thumbnail of Finite element method modeled dielectric response for condition evaluation of transformer insulation

2013 Annual Report Conference on Electrical Insulation and Dielectric Phenomena, 2013

ABSTRACT Defects such as cracks and voids in the insulation medium of a power transformer may aff... more ABSTRACT Defects such as cracks and voids in the insulation medium of a power transformer may affect the dielectric response of transformer insulation system. This paper uses the finite element method (FEM) to analysis the influence of electric field distribution on the dielectric response of transformer oil-paper insulation system. Firstly a simple transformer winding insulation model consisting of several layers of pressboard and oil ducts is established in FEM. Here, two circumstances are taken into consideration to represent normal insulation and insulation with cracks penetrating all the layers. The complex capacitance (real part and imaginary part) is calculated to obtain general tendency of dielectric response of winding insulation in a transformer. Secondly, this paper proposes FEM model of a three phase oil-immersed power transformer insulation system. Based on the developed model, the dependency between electric field displacement, current density at the selected point with the applied electric field is discussed in detail. Moreover, the complex capacitance of transformer insulation is also studied. This will help to understand the correlations among insulation defects, electric field variations, and dielectric response of insulation.

Research paper thumbnail of A diffusion-driven model for investigating moisture effects on dielectric response measurement of transformer insulation

2014 IEEE PES General Meeting | Conference & Exposition, 2014

Research paper thumbnail of Moisture and temperature effects on power transformer winding clamping pressure

2016 IEEE PES Asia-Pacific Power and Energy Engineering Conference (APPEEC), 2016

Research paper thumbnail of Finite element modelling of a transformer winding for vibration analysis

2016 Australasian Universities Power Engineering Conference (AUPEC), 2016

Research paper thumbnail of Effects of the Insulation Quality on the Frequency Response of Power Transformers

Journal of Electrical Engineering and Technology, 2006

Research paper thumbnail of Understanding the ageing aspects of natural ester based insulation liquid in power transformer

IEEE Transactions on Dielectrics and Electrical Insulation, 2016

Research paper thumbnail of Transformer Diagnostics Using Dissolved Gas Analysis and Polarisation and Depolarisation Current Measurements - A case study

2011 21st Australasian Universities Power Engineering Conference Aupec 2011, 2011

Research paper thumbnail of Pattern Recognition Techniques for Determining the Health Index of Oil-Paper Insulation of In-service Power Transformers

Research paper thumbnail of State of the Art Review On Managing Vegetable Oil Filled Transformers

Research paper thumbnail of A novel level-based automatic wavelet selection scheme for partial discharge measurement

2012 22nd Australasian Universities Power Engineering Conference Green Smart Grid Systems Aupec 2012, 2012

Research paper thumbnail of Machine learning techniques for power transformer insulation diagnosis

2011 21st Australasian Universities Power Engineering Conference Aupec 2011, 2011

Power transformers are one of the most critical equipments in electricity network. A number of te... more Power transformers are one of the most critical equipments in electricity network. A number of techniques such as dissolved gas analysis (DGA), polarization and depolarization currents (PDC) measurement and frequency domain spectroscopy (FDS) have been adopted across utilities for transformer insulation diagnosis. However, there are still considerable challenges remaining in interpreting measured data of these techniques. This paper develops machine learning algorithms, which utilise archived data for making insulation diagnosis on the transformer of interest. Analysis and interpretation of field test data are presented in the paper.

Research paper thumbnail of Multifractal analysis on polarisation and depolarisation current of the transformer insulation

2012 22nd Australasian Universities Power Engineering Conference Green Smart Grid Systems Aupec 2012, 2012

ABSTRACT

Research paper thumbnail of Reliability of dielectric response measurements for estimating moisture in oil impregnated paper insulation

Research paper thumbnail of Evaluating the Accuracy of Different DGA Techniques for Improving the Transformer Oil Quality Interpretation

2011 21st Australasian Universities Power Engineering Conference Aupec 2011, 2011

Research paper thumbnail of Condition Assessment of Model Transformers under Accelerated Ageing Experiments

Log In