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On the impact of wind power on CO2 emissions in a power system
KTH, School of Electrical Engineering (EES), Electric Power and Energy Systems.
2017 (English)Independent thesis Advanced level (degree of Master (Two Years)), 20 credits / 30 HE creditsStudent thesis
Abstract [en]

This master thesis is carried out at KTH Royal Institute of Technology in Stockholmthe spring 2017. The project analyses the impact of wind power in a power system.A fictitious power system, created from the Nordic32 test system, is used for theanalysis. The power sources in the test system are hydro power, nuclear power, CHPand wind power, resembling Swedish conditions. The power production planning inthe system is solved as a mixed integer linear programming problem in GAMS withhourly resolution. From the result of the planning problem calculations of CO2emissions are carried out with Monte Carlo simulations. Different cases with differentamounts of wind power installed in the test system are studied via a stochasticMarkov model. The load model in the test system consists of hourly time seriesdata for a specific day. Furthermore, challenges with wind power as a continuouslyvarying power source are studied. These challenges are balance between productionand consumption in the power system, excess of power etc.The results show that increasing the wind power production results in a decreasein CO2 emissions. This can be seen from the different simulations in the project.However, the results show that increasing the wind power production means that thesystem becomes more sensitive to keep the power balance. Moreover, the dischargecapacity and the efficiency of the hydro power plants are important factors in thetest system.

Abstract [sv]

Detta examensarbete på masternivå är utfört vid Kungliga Tekniska högskolan våren2017. Projektet analyserar påverkan av vindkraft i ett elkraftsystem. Ett fiktivtkraftsystem, skapat från testsystemet Nordic32, används för att utföra analysen.Kraftkällorna i systemet är vattenkraft, kärnkraft, kraftvärmeverk och vindkraft,liknande svenska förhållanden. Produktionsplaneringen i systemet är löst med blandadheltals- och linjärprogrammering i GAMS med timvis tidsupplösning. Från resultatetav planeringsproblemet beräknas systemets CO2-utsläpp med Monte Carlosimuleringar. Olika fall studeras med olika andel vindkraft installerad i testsystemetvia en stokastisk Markovmodell. Lastmodellen i testsystemet består av timvistidsseriedata för en utvald dag. Vidare studeras utmaningar med vindkraften som enkontinuerligt varierande kraftproduktionskälla. Dessa utmaningar är balans mellanproduktion och konsumtion i kraftsystemet, överskott av effekt etc.Resultaten visar att ökad andel vindkraftproduktion resulterar i minskade CO2-utsläpp. Detta kan ses från de olika simuleringarna i projektet. Emellertid visarresultaten att ökande andel vindkraftproduktion också innebär att systemet blirmer känsligt för att kunna upprätthålla effektbalansen. Dessutom är slukförmåganoch effektiviteten i vattenkraftverken viktiga faktorer i testsystemet.

Place, publisher, year, edition, pages
2017. , 65 p.
Series
TRITA-EE, ISSN 1653-5146 ; 2017:072
National Category
Electrical Engineering, Electronic Engineering, Information Engineering
Identifiers
URN: urn:nbn:se:kth:diva-211468OAI: oai:DiVA.org:kth-211468DiVA: diva2:1129335
Educational program
Master of Science in Engineering - Energy and Environment; Master of Science - Electric Power Engineering
Supervisors
Examiners
Available from: 2017-08-02 Created: 2017-08-02 Last updated: 2017-11-20Bibliographically approved

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