Student thesis: Master programme thesis

  • Marta Irena Murkowska
3. term, Energy Engineering, Master (Master Programme)
Hybrid power plants (HPPs) are recently a trending topic. However, implementation of this technology needs further investigation. This project focuses on increasing the profitability of solar, wind and storage HPPs, by optimization with use of mixed integer linear programming solvers (MILP). The first step is to indicate models suitable for one year simulation of HPP components. It is followed by analysis of available MILP solvers. The outcomes of the first two steps are used in optimization of battery operation of HPP for maximized revenue. Finally, example of optimization of sizing of the HPP components is presented. Based on the results from both optimizations, a general conclusion is, that it will be more and more profitable to build HPPs with the prices of solar, wind and battery technologies decreasing.
SpecialisationWind Power Systems
Publication date2020
External collaboratorEMD International A/S
Anders Andersen
Place of Internship
ID: 318804534