Dynamic rating with applications to renewable energy

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Project abstract

The sustainable energy generation and efficient usage of materials are important for the development of modern society. Increasing share of renewable power generation units brings additional challenges for planning of power network, together with the challenges come new, more effective ways of utilization of power devices. In the traditional grids power transmission components are selected in order to satisfy high reliability criteria, with less consideration about efficient utilization of those components. In other words, power transmission components are mostly overrated in order to ensure high safety and availability of the system even under extreme conditions. Extreme conditions are mainly associated with extreme weather, such as high ambient temperatures and little to no wind, since the surrounding weather plays important role in the heat balance of power components.

The capacity of power devices is mostly highly dependent on the heat transfer properties of the materials, which the devices are made of. To ensure correct power limits of the equipment, one must take into consideration not only the power load, but also ambient conditions, such as: temperature, wind speed, wind direction, solar irradiation, humidity, pressure, radiation into the atmosphere and magnetic losses. Dynamic Rating (DR) is a method of unlocking the capacity of power components using available information on weather conditions.

Dynamic rating is created as an alternative to standard constant rating that is designed with reference to extreme weather and load conditions. Some areas are more likely than others to experience extreme weather conditions, which have a chance of occurring only a few days per year for short periods of time. Such a distribution of weather parameters gives an opportunity to embed existing material properties of the power equipment and achieve a better utilization of the grid.

Summary of work

This project targets improving usage of power transformers and power lines by implementing dynamic rating. The main focus of the project is on exploring potential ways to connect power generated from wind to the grid with the help of dynamic rating technologies. Therefore, great focus of the work lies on the analysis of DR connection of variable energy sources such as wind farms.

Event log

2015. STandUP for Wind annual meeting, October 2015, Uppsala, Sweden

2016. 8th International Conference on Applied Energy (ICAE), 8-11 October 2016, Beijing, China

2016. Vind 2016, 26-27 October, Stockholm, Sweden

2016. STandUP for Wind annual meeting, October 2016, Knivsta, Sweden

2016. 15th Wind Integration Workshop, 15-17 November 2016, Vienna, Austria

2017. Research vistor at MINES ParisTech, Feb-May 2017, Sophia Antipolis, Valbonne commune, France

2017. STandUP for Wind annual meeting, October 2017, Visby, Sweden

2018. PhD Student representative at STandUP for Wind management group. April 2017

2018. Licentiate thesis defense “Dynamic Rating of Power Lines and Transformers for Wind Energy Integration”, 9th of May 2018, opponent: Rebei Bel Fdhila, ABB AB Corporate research.

2018. 15th International Conference on Probabilistic Methods Applied to Power Systems (PMAPS), 24-28 June 2018, Boise, Idaho, USA

2018. 10th International Conference on Applied Energy (ICAE), 22-25 August 2018, Hong-Kong, China

2018. Organized STandUP for Wind PhD student Workshop, Upplands Bro, Sweden

2018. 17th Wind Integration Workshop and 8th Solar Integration Workshop, October 2018, Stockholm, Sweden

2018. Research visitor at Technical University of Denmark (DTU), 22-26 October 2018, Kongens Lyngby, Denmark

2018. STandUP for Wind annual meeting, November 29-30, Marholmen, Sweden

2019. STandUP for Wind annual meeting, 26-27 November 2019, Stockholm, Sweden

2019. 13th IEEE PowerTech Conference, 23-27 June 2019, Milano, Italy

2019. Research visitor at Ernest Orlando Lawrence Berkeley National Laboratory, March-August 2019, Berkeley, USA

2019. Research visitor at Technical University of Denmark (DTU), 23-27 September 2019, Kongens Lyngby, Denmark

2019. Research vistor at MINES ParisTech, 4-8 November 2019, Sophia Antipolis, Valbonne commune, France

2020. PhD Thesis defense. January 31 2020. Opponent: Adamantios Marinakis.

2020. 16th International Conference on Probabilistic Methods Applied to Power Systems (PMAPS), August 2020, Online

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

2020. November 22 – PhD degree is issued by KTH.

Project reference-group

Project-specific working group (frequent cooperation)
Tor Laneryd,  Hitachi ABB Power Grids (supervisor)
Claes Ahlrot,  E.ON
Ola Ivarsson,  E.ON

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 ABB Power Grids
Erik Lejerskog,  Ellevio AB
Andrew Kitimbo,  Vattenfall

MSc etc theses connected to the project

2016. Marco Merante “Application of dynamic rating to improve transportation capability of the power systems connected to wind power plants”, TRITA-EE 2016:095 link

2017. Tahereh Zarei “Analysis of reliability improvements of transformers after application of dynamic rating” TRITA-EE 2017:121 link

2017. Rikard Karlsson “Power system performance when implementing dynamic rating on a wind farm connected transformer” TRITA-EE 2017:139 link

2018. Patrik Gustafsson “Design of Experimental Setup for Investigation of Effect of Moisture Content on Transformer Paper Ageing during Intermittent Load”, TRITA-EECS-EX 2018:86 link

2018. Christos Stefanou “Investigation of the effect of moisture in transformers on the aging of the solid insulation for dynamic rating applications” TRITA-EECS-EX 2018:106 link

2018. Wadih Naim “Study of The Effect of Convective Heat Transfer on Cooling of Overhead Line Conductors Based on Wind Tunnel Experimental Results” TRITA-EECS-EX 2018:495 link

2018. Alice Vieira Turnell “Decentralized Secondary Frequency Control in an Optimized Diesel PV Hybrid System” TRITA-EECS-EX 2018:491 link

2019. Oscar David Ariza Rocha “Dynamic transformers rating for expansion of expansion of existing wind farms” TRITA-EECS-EX 2019:553 link

2020. Linus Dahlgren “Case Study on Applications of Measurement Equipment for Dynamic Line Rating” TRITA-EECS-EX 2020:574 link

2020. Andrea Molina Gomez “Improved planning of wind farms using dynamic transformer rating” TRITA-EECS-EX 2020:762 link

Publications by this researcher

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Determining total cost of ownership and peak efficiency index of dynamically rated transformer at the PV-power plant
Wílerson Venceslau Calil,   Kateryna Morozovska,   Tor Laneryd,   Eduardo Coelho Marques da Costa,   Maurício Barbosa de Camargo Salles.
2024,   Electric power systems research, vol. 229

Trade-offs of wind power production: A study on the environmental implications of raw materials mining in the life cycle of wind turbines
Kateryna Morozovska,   Federica Bragone,   André Xavier Svensson,   Dhruvi Ajit Shukla,   Ebba Hellstenius.
2024,   Journal of Cleaner Production, vol. 460

Decarbonizing maritime shipping and aviation: Disruption, regime resistance and breaking through carbon lock-in and path dependency in hard-to-abate transport sectors
Frauke Urban,   Anissa Nurdiawati,   Fumi Harahap,   Kateryna Morozovska.
2024,   Environmental Innovation and Societal Transitions, vol. 52

Forecasting of wind farm power output based on dynamic loading of power transformer at the substation
Maximilian Hartmann,   Kateryna Morozovska,   Tor Laneryd.
2024,   Electric power systems research, vol. 234

Time Series Predictions Based on PCA and LSTM Networks: A Framework for Predicting Brownian Rotary Diffusion of Cellulose Nanofibrils
Federica Bragone,   Kateryna Morozovska,   Tomas Rosén,   Daniel Söderberg,   Stefano Markidis.
2024,   24th International Conference on Computational Science, ICCS 2024, Malaga, Spain, Jul 2 2024 - Jul 4 2024

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

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

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

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.

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

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

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)

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 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

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

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

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

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

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

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

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

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

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 2024-08-22 22:58.

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