AAU Student Projects - visit Aalborg University's student projects portal
A master's thesis from Aalborg University
Book cover


Modelling and Control of Wind Turbines, Solar Photovoltaic and Electric Vehicles in Residential Grids

Author

Term

4. term

Publication year

2018

Submitted on

Pages

91

Abstract

I 2050 forventes Danmark at være uafhængig af fossile brændsler. Da produktionen fra vind og sol varierer og er svær at forudsige, har elsystemet brug for måder at optage overskudsenergi og balancere udbud og efterspørgsel. Specialet undersøger, hvor meget vedvarende elektricitet elnettet kan integrere, når varmepumper og elbiler bruges som fleksible, styrbare belastninger. Først valideres en standard testmodel (IEEE 13-bus netværket) som reference. Derefter øges den vedvarende produktion gradvist for en vintermåned (januar) og en sommermåned (juli), indtil de driftsmæssige grænser nås. Studiet anvender dernæst styring af aktiv og reaktiv effekt—netstyringsteknikker, der justerer effektflow og spænding—for yderligere at øge den maksimale integration. Til sidst gennemføres en tekno-økonomisk analyse af ladestrategier for elbiler og et skøn over de mulige økonomiske gevinster for ejerne.

By 2050, Denmark is expected to be independent of fossil fuels. Because wind and solar output varies and is hard to predict, the power system needs ways to absorb surplus energy and balance supply and demand. This thesis examines how much renewable electricity the grid can integrate when heat pumps and electric vehicles are used as flexible, controllable loads. First, a standard test model (the IEEE 13-bus network) is validated to serve as a benchmark. Next, renewable generation is gradually increased for a winter month (January) and a summer month (July) until operational limits are reached. The study then applies active and reactive power control—grid control techniques that adjust power flows and voltage—to raise this maximum even further. Finally, a techno-economic analysis compares electric vehicle charging strategies and estimates the potential profits for EV owners.

[This abstract was generated with the help of AI]