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Risk analysis of wind farm connection to existing grids using dynamic line rating
KTH, School of Electrical Engineering and Computer Science (EECS), Electrical Engineering, Electromagnetic Engineering. (RCAM)ORCID iD: 0000-0002-4065-715X
KTH, School of Electrical Engineering and Computer Science (EECS), Electrical Engineering, Electromagnetic Engineering. (RCAM)ORCID iD: 0000-0002-2964-7233
2018 (English)In: 2018 International Conference on Probabilistic Methods Applied to Power Systems, PMAPS 2018 - Proceedings / [ed] Milorad Papic, IEEE conference proceedings, 2018Conference paper, Published paper (Refereed)
Abstract [en]

Dynamic Line Rating (DLR) is a technology that allows extending capacity of existing power lines for transportation higher electrical power capacity from production site to the customer. Environmental conditions such as air temperature and wind speed have significant impact on the heat balance of the power line, therefore by monitoring the weather parameters one can dynamically vary the capacity of power line. Brief analysis of the wind speed and direction effects on the cooling of overhead lines and principles of wind power generation provide a background for the analysis of wind power connection to the existing power lines by means of Dynamic Line Rating.

This paper presents the case study of wind farm connection to the existing power line by application of DLR. Statistical weather data and information about system properties give an input parameters for the risk analysis of the dynamic rating application and highlight benefits of using DLR. The results show a potential to expand the transportation capacity of the line by injecting more wind power. Probabilistic analysis of the historical weather data and reliability analysis of the system show that line capacity can be expanded with more wind power without affecting availability of the connection.

Place, publisher, year, edition, pages
IEEE conference proceedings, 2018.
National Category
Other Electrical Engineering, Electronic Engineering, Information Engineering
Research subject
Electrical Engineering
Identifiers
URN: urn:nbn:se:kth:diva-226539DOI: 10.1109/PMAPS.2018.8440517ISI: 000451295600126Scopus ID: 2-s2.0-85053155916OAI: oai:DiVA.org:kth-226539DiVA, id: diva2:1198995
Conference
2018 International Conference on Probabilistic Methods Applied to Power Systems, PMAPS 2018; Boise; United States; 24 June 2018 through 28 June 2018
Projects
Dynamic Rating for Wind Power
Note

QC 20180424

Available from: 2018-04-19 Created: 2018-04-19 Last updated: 2024-03-15Bibliographically approved
In thesis
1. Dynamic Rating of Power Lines and Transformers for Wind Energy Integration
Open this publication in new window or tab >>Dynamic Rating of Power Lines and Transformers for Wind Energy Integration
2018 (English)Licentiate thesis, comprehensive summary (Other academic)
Abstract [en]

Dynamic Rating (DR) is usually associated with unlocking the capacity of power lines and transformers using available information on weather conditions. Our studies show that Dynamic Rating is a broad concept that requires further study and development.

The capacity of the majority of power devices is 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 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.

The following thesis is divided into two simultaneous topics: Dynamic line rating and Dynamic transformer rating. The division is motivated by the importance of analysing the operation of the above-mentioned parts of the power network in greater detail. Power lines and transformers play a significant part in grid planning and have a potential to result in economic benefits when used with DR.

The main focus of the doctoral project "Dynamic rating of power lines and transformers for wind energy integration" 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.

The thesis presents the comparison of different line rating methods and proposes a new way of their classification. Evaluation of dynamic line rating application has shown the possibility to expand the power grid with additional capacity from wind power generation. Literature analysis and detailed evaluation of the conductor heat balance models have led to experimental evaluation of the convective cooling effect.

The dynamic transformer rating application has shown a possibility to decrease the size of the power transformer without shortcoming in component availability.

Place, publisher, year, edition, pages
Stockholm: KTH Royal Institute of Technology, 2018. p. 54
Series
TRITA-EECS-AVL ; 2018:37
Keywords
dynamic line rating, dynamic transformer rating, power transformers, heat balance, thermal modeling, wind power, wind energy integration, reliability analysis, risk analysis
National Category
Electrical Engineering, Electronic Engineering, Information Engineering
Research subject
Electrical Engineering
Identifiers
urn:nbn:se:kth:diva-226564 (URN)978-91-7729-760-4 (ISBN)
Presentation
2018-05-09, Ivar Herlitz, Teknikringen 33, Stockholm, 10:00 (English)
Opponent
Supervisors
Projects
Dynamic Rating for Wind Power
Funder
StandUp for Wind
Note

QC 20180423

Available from: 2018-04-23 Created: 2018-04-20 Last updated: 2022-06-26Bibliographically approved

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Morozovska, KaterynaHilber, Patrik

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