NDLI: Methodology to assess distribution transformer thermal capacity for uptake of low carbon technologies

Content Provider	IET Digital Library
Author	Gao, Yuan Patel, Beval Liu, Qiang Wang, Zhongdong Bryson, Geraldine
Abstract	Low-voltage network is concerned on the penetration of low carbon technologies. Distribution transformer thermal capacity is one of the most concerned, due to the aged and capital-intensive nature of the transformer fleet. Extensive studies have been done on this topic, and most of them have applied exiting thermal models such as IEC 60076 thermal model to estimate the hot-spot temperature (HST). However, it is lack of consideration on how accurate the thermal model is or how to refine the thermal model for more accurate estimation of HST. In this study, a methodology is introduced to improve the accuracy of IEC thermal model by refining its thermal parameters based on measured temperature data during the heat run test. Verification of the methodology under one 1 MVA 6.6/0.415 kV distribution transformer shows that the accuracy of predicting the HST is improved by reducing the maximum error from 25.8 to 3.6 K under constant loads and 8.15 to 4.16 K under cyclic loads. Also, a worst-case scenario study under the penetration of electric vehicles (EVs) shows the maximum penetration level of EVs is improved by 9% by applying refined thermal parameters to estimate the HST of the distribution transformer.
Starting Page	1645
Ending Page	1651
Page Count	7
ISSN	17518687
Volume Number	11
e-ISSN	17518695
Issue Number	Issue 7, May (2017)
Alternate Webpage(s)	https://digital-library.theiet.org/content/journals/iet-gtd/11/7
Alternate Webpage(s)	https://digital-library.theiet.org/content/journals/10.1049/iet-gtd.2016.0722
Journal	IET Generation, Transmission & Distribution
Publisher Date	2017-03-01
Access Restriction	Open
Rights Holder	© The Institution of Engineering and Technology
Subject Keyword	Apparent Power 1 MVA Carbon Distribution Network Distribution Transformer Thermal Capacity Assessment Electric Vehicle Penetration EVs Heat Run Test Hot-spot Temperature Estimation HST HST Prediction IEC 60076 Thermal Model Low Carbon Technology Low-voltage Network Power Transformer Temperature 8.15 K to 4.16 K Temperature Data Thermal Analysis Thermal Model Transformer And Reactors Voltage 0.415 KV Voltage 6.6 KV
Content Type	Text
Resource Type	Article
Subject	Control and Systems Engineering Energy Engineering and Power Technology Electrical and Electronic Engineering

Sl.	Authority	Responsibilities	Communication Details
1	Ministry of Education (GoI), Department of Higher Education	Sanctioning Authority	https://www.education.gov.in/ict-initiatives
2	Indian Institute of Technology Kharagpur	Host Institute of the Project: The host institute of the project is responsible for providing infrastructure support and hosting the project	https://www.iitkgp.ac.in
3	National Digital Library of India Office, Indian Institute of Technology Kharagpur	The administrative and infrastructural headquarters of the project	Dr. B. Sutradhar bsutra@ndl.gov.in
4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
5	Website/Portal (Helpdesk)	Queries regarding NDLI and its services	support@ndl.gov.in
6	Contents and Copyright Issues	Queries related to content curation and copyright issues	content@ndl.gov.in
7	National Digital Library of India Club (NDLI Club)	Queries related to NDLI Club formation, support, user awareness program, seminar/symposium, collaboration, social media, promotion, and outreach	clubsupport@ndl.gov.in
8	Digital Preservation Centre (DPC)	Assistance with digitizing and archiving copyright-free printed books	dpc@ndl.gov.in
9	IDR Setup or Support	Queries related to establishment and support of Institutional Digital Repository (IDR) and IDR workshops	idr@ndl.gov.in

Top-oil temperature modelling by calibrating oil time constant for an oil natural air natural distribution transformer

Interpretation of frequency response analysis of power transformer based on evidence theory

New statistical approach to interpret power transformer frequency response analysis: non-parametric statistical methods

Short-term planning model for distribution network restructuring based on heat maps

HST calculation of a 10 kV oil-immersed transformer with 3D coupled-field method

Thermal analysis of power transformers under unbalanced supply voltage

Elegant procedure to estimate series capacitance of a uniform transformer winding from its measured FRA: implementable on existing FRA instruments

Thermal aging test for transformer oil–paper insulation under over-load condition temperature

Maximising wind generation through optimised operation of on-load tap changing transformers in active distribution networks

Methodology to assess distribution transformer thermal capacity for uptake of low carbon technologies

Similar Documents

Top-oil temperature modelling by calibrating oil time constant for an oil natural air natural distribution transformer

Interpretation of frequency response analysis of power transformer based on evidence theory

New statistical approach to interpret power transformer frequency response analysis: non-parametric statistical methods

Short-term planning model for distribution network restructuring based on heat maps

HST calculation of a 10 kV oil-immersed transformer with 3D coupled-field method

Thermal analysis of power transformers under unbalanced supply voltage

Elegant procedure to estimate series capacitance of a uniform transformer winding from its measured FRA: implementable on existing FRA instruments

Thermal aging test for transformer oil–paper insulation under over-load condition temperature

Maximising wind generation through optimised operation of on-load tap changing transformers in active distribution networks

Methodology to assess distribution transformer thermal capacity for uptake of low carbon technologies