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Dynamic rating assists cost-effective expansion of wind farms byutilizing hidden capacity of transformers
ABB Corporate Research, Västerås, Sweden. E.ON. Energidistribution AB, Malmö, Sweden.
KTH, School of Electrical Engineering and Computer Science (EECS), Electrical Engineering, Electromagnetic Engineering.ORCID iD: 0000-0002-4065-715x
ABB Corporate Research.
E.ON. Energidistribution AB, .
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(English)Manuscript (preprint) (Other academic)
Abstract [en]

Dynamic rating of power transmission devices is a technology that allows better equipment utilization through real-time information about the system state. Dynamic rating of transformers is a fairly new technology if compared to dynamic rating of power lines, and has high potential for significantly improving component utilization while lowering investment costs on installing new transformers.

Dynamic transformer rating increases the rating of the transformer considering load and temperature variations without affecting safe operation. Dynamic rating is highly suitable for being used in conjunction with renewable energy generation, specifically wind power. The following work investigates how to utilize existing transformers, which are under exploitation at wind farms, for expanding wind generation capacity. Also, this paper shows improvements that dynamic rating can bring to both power grid operators and wind farm owners by exploring the economic benefits of expanding wind parks while using dynamic rating. Connecting additional wind turbines with the same transformer at sites with high wind capacity after the wind park is already in exploitation can assist in lowering electricity price and provide a possibility of less risky investment in wind power.

Five transformer locations and nine units are studied for finding the potential of dynamic transformer rating for network expansion applications. The analysis shows that the optimal expansion of wind power from a generator perspective is around 30 % to 50 %, although, it can be limited further by network restrictions. A possibility to use a large device, suchas power transformer, closer to its full potential can provide material and cost savings for building new devices and decrease investment costs on manufacturing, transportation and installation of new units. Dynamic rating of power transformers can also increase the socio-economic benefits of renewable energy by lowering electricity price from renewables and incentivize an increased share of green power in electricity markets.

Keywords [en]
dynamic transformer rating, wind energy integration, planning of power systems, reliability of power components
National Category
Electrical Engineering, Electronic Engineering, Information Engineering
Research subject
Electrical Engineering
Identifiers
URN: urn:nbn:se:kth:diva-266361OAI: oai:DiVA.org:kth-266361DiVA, id: diva2:1383886
Funder
Swedish Energy AgencySweGRIDS - Swedish Centre for Smart Grids and Energy StorageStandUp for Wind
Note

QC 20200109

Available from: 2020-01-08 Created: 2020-01-08 Last updated: 2022-06-26Bibliographically approved
In thesis
1. Dynamic Rating with Applications to Renewable Energy
Open this publication in new window or tab >>Dynamic Rating with Applications to Renewable Energy
2020 (English)Doctoral thesis, comprehensive summary (Other academic)
Abstract [en]

Dynamic rating (DR) of power components is a method for assessing real-time capacity of large scale power transmission and distribution devices (commonly: transmission lines, power transformers, underground cables) and using this knowledge for adjusting loading limits of these components. 

Dynamic rating of power lines or dynamic line rating (DLR) is a pioneering technology in the area of dynamic rating. Heat balance of an overhead conductor is a defining factor when designing capacity limits for power lines. The maximum ampacity of the power line depends on the factors, such as ambient temperature, wind speed, wind direction, solar radiation, humidity, location, height above the sea level and conductor dimensions and material properties. 

Dynamic transformer rating (DTR) is a new emerging technology with high interest from industry and academia. Similarly to DLR, the dynamic rating of transformers relies on a thermal assessment of the device by locating the hottest spot in the transformer windings. The hot-spot temperature is the limiting factor for determining the maximum allowable ampacity. By shifting from the power-constrained the loading limits to the temperature-constrained, it is possible to achieve much better utilization of power transformer.

Recently, DLR became a recognizable concept in the power systems research community; DTR is also slowly gaining its popularity among researchers. At the same time, the industry begins to recognize DR benefits and invest in dynamic rating technologies. However, there exist many unanswered questions to the technology's reliability, applicability and safe operation. One of the central questions is: how to integrate dynamic rating into short term and long term planning decisions?

he results of the work presented in this thesis show that dynamic rating has high potential to improve power system performance and reduce the costs for power dispatch and increase the share of the renewable energy in the electricity mix. Together with that dynamic rating can help to make renewable energy more accessible by decrease the investment needed for supplying the electricity demand and providing cheaper and faster grid connection.

Abstract [sv]

Dynamisk rating (DR) av elkraftkomponenter syftar till tekniker för att uppskatta kapaciteten hos komponenter för storskalig överföring av elkraft (vanligtvis: kraftledningar, transformatorer, underjordiska kablar) i realtid och använda denna information för att justera belastningsgränserna för dessa. 

Dynamisk rating av kraftledningar (DLR) är en nydanande teknik inom detta område. Värmebalansen för en kraftledning är en viktig faktor för att bestämma dess överföringskapacitet. En kraftlednings maximala strömledningsförmåga beror därför på faktorer så som temperatur, vindhastighet, vindriktning, solstrålning, fuktighet, geografiskt läge, höjd över havet och ledarens dimensioner och materialegenskaper.

Dynamisk rating av transformatorer (DTR) är en ny teknik med stort intresse från industri och akademi. Liknande som för DLR använder sig DTR av en uppskattning av den hot-spot temperaturen, hos komponenten genom att hitta den varmaste punkten i transformatorlindningarna. Hot-spot temperaturen är den begränsande faktorn för att avgöra transformatorns överföringskapacitet. Genom att låta den maximalt tillåtna belastningen bero på temperaturen istället för effekten kan utnyttjandet av transformatorn förbättras väsentligt. 

Nyligen har DLR blivit ett erkänt koncept inom forskningen för elkraft och DTR har också börjat bli populärt bland forskare. Samtidigt har industrin börjat se fördelarna av DR och investera i dessa tekniker. Det finns dock fortfarande många frågor kring teknikern som rör tillförlitlighet, applicerbarhet och säkerhet. En av de viktigaste frågorna är hur man bäst kan integrera dynamisk rating i kort- och långtidsplaneringen av elkraftsystem.

Resultaten av arbetet som presenteras i denna avhandling visar att dynamisk rating har en stor potential att minska kostnaderna för driften av elnätet och tillåta integrering av mer förnybara energikällor. Dessutom kan dynamisk rating göra förnybar energi mer tillgänglig genom att minska de investeringar som krävs för att tillgodose efterfrågan på elektricitet och möjliggöra snabbare och billigare anslutning till elnätet.

Place, publisher, year, edition, pages
Stockholm,: KTH Royal Institute of Technology, 2020. p. 84
Series
TRITA-EECS-AVL ; 2020:3
Keywords
dynamic rating, dynamic line rating, dynamic transformer rating, power transformers, power system optimization, wind farm planning
National Category
Electrical Engineering, Electronic Engineering, Information Engineering
Research subject
Electrical Engineering
Identifiers
urn:nbn:se:kth:diva-266363 (URN)978-91-7873-390-3 (ISBN)
Public defence
2020-01-31, Kollegiesalen, Brinellvägen 8, Stockholm, 14:00 (English)
Opponent
Supervisors
Funder
Swedish Energy AgencySweGRIDS - Swedish Centre for Smart Grids and Energy Storage, FPS18StandUp for Wind
Note

QC 20200109

Available from: 2020-01-09 Created: 2020-01-09 Last updated: 2024-01-12Bibliographically approved

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Morozovska, KaterynaHilber, Patrik

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