Investigation of long-term perspectives of dynamic rating of power lines, underground cables, transformers and substation equipment to promote large-scale Variable Renewable Energy installations

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Project abstract

This Postdoctoral project will be oriented towards work on forecasting, operation and planning for dynamic rating of transformers, power lines and underground cables.

One part of the project is planned for work on dynamic rating forecasting and application of monitoring devices. Comparative analysis of two methods together and against each other.

A larger portion of the project will be devoted to work on dynamic rating of transformers and underground cables for optimal integration of renewable generation. Continued work on transformers and beginning of work of inclusion of dynamic rating of underground cables and other substation equipment to gain a complete picture of DR impact and implications.

Main goal of the project is to get a comprehensive view on the substation operation and possible ways to apply dynamic rating for maximization of operation efficiency. Additionally a detailed specification of digital solutions, which can be later applied to a real systems. Get a broader perspective on the subject of dynamic rating and it’s application as a part of the power system.

This project further builds on the previous work, which have been highly focused on applications and case studies, especially on using dynamic rating for integration of wind power.

Later on the project aims to look into integration of renewables using more dynamically rated components in the substation, as well as looking into combining the knowledge on dynamic rating of transformers, power lines and underground cables for better planning of the grid and increase share of renewable energy. The topic of forecasting for dynamic rating of different power components is also a part of the research plan (do we face other bottlenecks). This project will be a part of the work towards expansion of the grid and integration of new renewable generation using dynamic rating from a holistic power system perspective.

Summary of work

The general goal of the project is to look at the perspectives of using dynamic rating for power lines, underground cables, transformers and substation equipment. Identify the knowledge gaps; investigate and determine the medium to long-term research and development need. Quantify long and short-term benefits for the utilities when using dynamic rating. Clarify requirement for updates in specification processes and digital monitoring solutions.

Event log

April 2020. PhD student recruited

September 2020. New PhD student started

October 2020. IEEE PES Innovative Smart Grid Technologies Europe 2021. Conference paper presentation. Chairwoman of the conference session.

November 2020. PostDoc Project started

November 2020. STandUP for Wind annual meeting

November 2020. Grant application for additional PhD project

Project reference-group

Project-specific working group (frequent cooperation)
Tor Laneryd,  Hitachi Energy (supervisor)
Claes Ahlrot,  E.ON
Ola Ivarsson,  E.ON
Erik Lejerskog,  Ellevio AB

General QED reference group (twice per year)
Tommie Lindquist,  Svenska kraftnät
Milan Radosavljević,  Svenska kraftnät
Susanne Olausson,  Energiforsk AB
Ying He,  Vattenfall AB
Susann Persson,  Jämtkraft AB
Matz Tapper,  Svensk Energi
Johan Öckerman,  Vattenfall
Erik Jenelius,  Trafik och logistik KTH
Fredrik Carlsson,  Vattenfall
Thomas Welte,  Sintef Energi
Robert Saers,  Hitachi Energy
Erik Lejerskog,  Ellevio AB
Anna Lilly Brodersson,  Vattenfall
Andrew Kitimbo,  Vattenfall

MSc etc theses connected to the project

2021. Frederica Bragone “Physics-Informed Machine Learning in Power Transformer Dynamic Thermal Modeling” project will start in January.

Publications by this researcher

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Physics-Informed Neural Networks for prediction of transformer’s temperature distribution
Oliver Welin Odeback,   Federica Bragone,   Tor Laneryd,   Michele Luvisotto,   Kateryna Morozovska.
2022,   21st IEEE International Conference on Machine Learning and Applications (ICMLA) 2022, December 12-14 2022, Nassau, Atlantis Hotel, Bahamas

Physics-Informed Neural Networks for modelling insulation paper degradation in Power Transformers
Khaoula Oueslati,   Nabila Dhahbi-Megriche,   Federica Bragone,   Kateryna Morozovska,   Tor Lanerys,   Michele Luvisotto.
2022,   CISTEM 2022, 4th IEEE International Conference on Electrical Sciences and Technologies in Maghreb, October 26-28 2022, Tunis, Tunisia

Optimal sizing of the wind farm and wind farm transformer using MILP and dynamic transformer rating
Andrea Molina Gómez,   Kateryna Morozovska,   Tor Laneryd,   Patrik Hilber.
2022,   International Journal of Electrical Power & Energy Systems, vol. 136

Self-Supervised Transformer Networks for Error Classification of Tightening Traces
Dennis Bogatov Wilkman,   Lifei Tang,   Kateryna Morozovska,   Federica Bragone.
2022,   21st IEEE International Conference on Machine Learning and Applications (ICMLA) 2022, December 12-14 2022, Nassau, Atlantis Hotel, Bahamas

Physics-informed neural networks for modelling power transformer’s dynamic thermal behaviour
Federica Bragone,   Kateryna Morozovska,   Patrik Hilber,   Tor Laneryd,   Michele Luvisotto.
2022,   Electric power systems research, vol. 211

Physics-Informed Neural Networks for Modeling Cellulose Degradation in Power Transformers
Federica Bragone,   Khaoula Oueslati,   Tor Laneryd,   Michele Luvisotto,   Kateryna Morozovska.
2022,   21st IEEE International Conference on Machine Learning and Applications (ICMLA) 2022, December 12-14 2022, Nassau, Atlantis Hotel, Bahamas

Physics Informed Neural Networks for Power Transformer Dynamic Thermal Modelling
Tor Laneryd,   Federica Bragone,   Kateryna Morozovska,   Michele Luvisotto.
2022,   10th Vienna International Conference on Mathematical Modelling (MATHMOD), JUL 27-29, 2022, Tech Univ Wien, ELECTR NETWORK

Physics-Informed Neural Networks for prediction of transformer's temperature distribution
Oliver Welin Odeback,   Federica Bragone,   Tor Laneryd,   Michele Luvisotto,   Kateryna Morozovska.
2022,   21st IEEE International Conference on Machine Learning and Applications (IEEE ICMLA), DEC 12-14, 2022, Nassau, BAHAMAS

Including Dynamic Line Rating Into the Optimal Planning of Distributed Energy Resources
Kateryna Morozovska,   Miguel Heleno,   Alan Valenzuela Meza,   Patrik Hilber.
2021,   IEEE Transactions on Smart Grid, vol. 12(6)

An experimental assessment of the intermittent heating and cooling operation effect on power transformer insulation
Daniil Danylov,   Yanick Patrick Frei,   Leonardo Colombo,   Raimundo Montalba Mesa,   Zhanzhan Liu,   Patrick Janus,   Kateryna Morozovska.

Dynamic rating of the wind farm transformer from the power system’s perspective
Kateryna Morozovska,   Rikard Karlsson,   Patrik Hilber.
2021,   2021 IEEE Madrid PowerTech

Sizing Transformer Considering Transformer Thermal Limits and Wind Farm Wake Effect
Zhongtian Li,   Kateryna Morozovska,   Patrik Hilber,   T. Laneryd,   S. Ivanell.
2021,   2021 IEEE PES Innovative Smart Grid Technologies - Asia, ISGT Asia 2021, 5 December 2021 through 8 December 2021

A few methods for construction of feasible labeling
Olena Kryvtsun,   Elina Tereschenko,   Kateryna Morozovska.
2020,   The twenty-second seminar "Combinatorial configurations and their applications"

Dynamic Rating with Applications to Renewable Energy
Kateryna Morozovska.
2020,   Thesis (PhD), KTH Royal Institute of Technology, TRITA-EECS-AVL 2020:3

Dynamic rating assists cost-effective expansion of wind farms by utilizing the hidden capacity of transformers
Oscar David Ariza Rocha,   Kateryna Morozovska,   Tor Laneryd,   Ola Ivarsson,   Claes Ahlrot,   Patrik Hilber.
2020,   International Journal of Electrical Power & Energy Systems, vol. 123

Minimization of Wind Power Curtailment using Dynamic Line Rating
Vageesh Chakrapani Manakari,   Sandra Thengius,   Akshaya Tammanur Ravi,   Kateryna Morozovska,   Patrik Hilber.
2020,   2020 IEEE PES Innovative Smart Grid Technologies Europe (ISGT-Europe)

A framework for application of dynamic line rating to aluminum conductor steel reinforced cables based on mechanical strength and durability
Kateryna Morozovska,   Wadih Naim,   N. Viafora,   Ebrahim Shayesteh,   Patrik Hilber.
2020,   International Journal of Electrical Power & Energy Systems, vol. 116

Reliability considerations and economic benefits of dynamic transformer rating for wind energy integration
Tahereh Zarei,   Kateryna Morozovska,   Tor Laneryd,   Patrik Hilber,   Malin Wihlen,   Hansson Olle.
2019,   International Journal of Electrical Power & Energy Systems, vol. 106

Effects of Dynamic Line Rating on the Durability and Mechanical Strength of Aluminum Cable Steel Reinforced (ACSR) Conductors
Wadih Naim,   Kateryna Morozovska,   Patrik Hilber.
2019,   10th International Conference on Applied Energy, ICAE 2018

Day-ahead dispatch optimization with dynamic thermal rating of transformers and overhead lines
N. Viafora,   Kateryna Morozovska,   S. H. H. Kazmi,   T. Laneryd,   Patrik Hilber,   J. Holbøll.
2019,   Electric power systems research, vol. 171

Decentralized Secondary Frequency Control in an Optimized Diesel PV Hybrid System
Alice Vieira Turnell,   Peter-Philipp Schierhorn,   Daniel Masendorf,   Kateryna Morozovska.
2018,   8th International Workshop on the Integration of Solar Power into Power Systems | Stockholm, Sweden | 16 – 17 October 2018

DLR use for optimization of network design withvery large wind (and VRE) penetration
Ana Estanqueiro,   Claes Ahlrot,   Joaquim Duque,   Duarte Santos,   Jake P. Gentle,   Alexander W. Abboud,   Kateryna Morozovska,   Patrik Hilber,   Lennart Söder,   Thomas Kanefendt.
2018,   17th Wind Integration Workshop

Decentralized Secondary Frequency Controlin an Optimized Diesel PV Hybrid System
Alice Vieira Turnell,   Peter-Philipp Schierhorn,   Daniel Masendorf,   Kateryna Morozovska.
2018,   8th International Workshop on the Integration of Solar Power into Power Systems | Stockholm, Sweden | 16 – 17 October 2018

Risk analysis of wind farm connection to existing grids using dynamic line rating
Kateryna Morozovska,   Patrik Hilber.
2018,   2018 International Conference on Probabilistic Methods Applied to Power Systems, PMAPS 2018

Dynamic Rating of Power Lines and Transformers for Wind Energy Integration
Kateryna Morozovska.
2018,   Thesis (Licentiate), KTH Royal Institute of Technology, TRITA-EECS-AVL 2018:37

Risk and economic analysis of utilizing dynamic thermal rated transformer for wind farm connection
Alice Vieira Turnell,   Agnes Linnet,   Nahal Tamadon,   Kateryna Morozovska,   Patrik Hilber,   Tor Laneryd,   Malin Wihlen.
2018,   2018 International Conference on Probabilistic Methods Applied to Power Systems, PMAPS 2018

Study of the Monitoring Systems for Dynamic Line Rating
Kateryna Morozovska,   Patrik Hilber.
2017,   8th International Conference on Applied Energy, ICAE 2016, Beijing, China, 8 October 2016 through 11 October 2016

Reliability study of two offshore wind farm topologies : Radial and ring connection
Oskar Giesecke,   Rikard Karlsson,   Kateryna Morozovska,   Patrik Hilber.
2016,   15th Wind Integration Workshop, Vienna, Austria

Publication list last updated from DiVA on 2024-01-10 15:21.

Page started: 2020-10-01
Last generated: 2024-01-10