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

Content Provider	IET Digital Library
Author	Wang, Lujia Zhang, Xiang Villarroel, Rafael Liu, Qiang Wang, Zhongdong Zhou, Lijun
Abstract	Integration of low carbon technologies poses a technical challenge on distribution transformers due to the dynamic loading and potentially frequent overloading scenarios. Transformer dynamic thermal rating is hence required, which is the most economical approach to tackle this challenge and ensure a safe operation. To reach the aim, it is important to enhance the accuracy of the dynamic thermal model, where the top-oil temperature is a key thermal parameter. In this study, a wide range of constant load temperature-rise tests were carried out on an 11/0.433 kV distribution transformer to study the dynamic thermal behaviour of the top-oil temperature. A model based on the IEC 60076-7 thermal model but with an improved oil time constant calibration was deduced for top-oil temperature modelling. The oil time constant calibration was inspired by IEEE C57.91 and verified by eight temperature-rise tests with load factors ranging from 0.7 to 1.4 pu. In addition, the improved top-oil temperature modelling was further verified in experiments under multiple load profiles.
Starting Page	4452
Ending Page	4458
Page Count	7
ISSN	17518687
Volume Number	14
e-ISSN	17518695
Issue Number	Issue 20, Oct (2020)
Alternate Webpage(s)	https://digital-library.theiet.org/content/journals/iet-gtd/14/20
Alternate Webpage(s)	https://digital-library.theiet.org/content/journals/10.1049/iet-gtd.2020.0155
Journal	IET Generation, Transmission & Distribution
Publisher Date	2020-07-22
Access Restriction	Open
Rights Holder	© The Institution of Engineering and Technology
Subject Keyword	Calibration Constant Load Temperature-rise Tests Dynamic Loading Dynamic Thermal Behaviour Dynamic Thermal Model IEC 60076-7 Thermal Model IEEE C57.91 IEEE Standards Improved Oil Time Constant Calibration Key Thermal Parameter Load Profile Low Carbon Technology Oil Natural Air Natural Distribution Transformer Organic Insulation Overloading Scenario Power Transformer Insulation Top-oil Temperature Modelling Transformer And Reactors Transformer Dynamic Thermal Rating Transformer Oil Voltage 0.433 KV Voltage 11.0 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

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

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

Dynamic thermal modelling of power transformers

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

Indoor distribution transformers oil temperature prediction using new electro-thermal resistance model and normal cyclic overloading strategy: an experimental case study

Statistical correlation technique for transient signal analysis during impulse testing of transformers

Thermal analysis of power transformers under unbalanced supply voltage

Studies to Utilize Loading Guides and ANN for Oil-Immersed Distribution Transformer Condition Monitoring

Power transformer temperature evaluation for overloading conditions

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

Similar Documents

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

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

Dynamic thermal modelling of power transformers

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

Indoor distribution transformers oil temperature prediction using new electro-thermal resistance model and normal cyclic overloading strategy: an experimental case study

Statistical correlation technique for transient signal analysis during impulse testing of transformers

Thermal analysis of power transformers under unbalanced supply voltage

Studies to Utilize Loading Guides and ANN for Oil-Immersed Distribution Transformer Condition Monitoring

Power transformer temperature evaluation for overloading conditions

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