Optimalizace ve SMART GRID

Abstract

The dissertation thesis focuses on the optimization of electricity consumption in smart grids using Vehicle-to-Grid (V2G) technology in the context of the Czech Republic. The thesis investigates the use of batteries in electric vehicles as potential sources or storage of electricity for smaller smart grids in cases of energy shortage or surplus. A key part of the work is the development of an optimization method based on the Non-dominated Sorting Genetic Algorithm 2 (NSGA-2), which is applied to the optimization of electricity flow with respect to the tariff optimization scheme in different scenarios and periods. Furthermore, the dissertation thesis presents a digitized model of a real off-grid house, which serves as a platform for testing and validation of the proposed methods. The analysis in the paper includes an assessment of the impact of V2G technology on energy self-sufficiency and economics for vehicle and off-grid system owners. The results of the dissertation offer a basis for further research in the V2G field and for the development of efficient and sustainable V2G systems, while contributing overall to the creation of a more environmentally friendly and cost-effective energy infrastructure.