Multicriteria optimization of the microgrid using V2G technology

[D. D. Javor]

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Biografija autora: list [271]. Bibliografija uz svako poglavlje.

Elektrotehnika i računarstvo

The subject of the research of this doctoral dissertation is the application of multicriteria optimization (MCO) and the realization of computer programs that can be implemented in the smart management of microgrids with the use of renewable energy sources (RES), electric vehicles and V2G technology, while achieving a compromise between economic and environmental goals. The weighting coefficients of the criteria were determined using the subjective BWM and AHP methods, and then different types of energy sources in the microgrid were ranked using the MCO methods (PROMETHEE, ELECTRE, VIKOR and TOPSIS). The results obtained using Lingo, Excel and PROMETHEE-GAIA programs were analyzed. A new two-stage MCO procedure was developed that enables consumption management in case there are predicted nondeferrable loads during the day, experimentally measured or estimated intermittent RES production at the microgrid location, deferrable consumption, as well as known hourly prices on the electricity market. The daily consumption curve of the microgrid was optimized, which achieved a reduction in electricity costs and investment costs. The daily charging/discharging schedule of electric vehicles at the microgrid charging station with V2G technology was also optimized in order to reduce energy costs, taking into account the characteristics of vehicles and their batteries, as well as the daily schedule of vehicle use and their availability for charging/discharging. Microgrid scenarios for different number of vehicles, charger power and ambient temperature are considered. In doing so, the economic requirements of microgrid users, vehicle owners, and distribution companies were taken into account, as well as environmental requirements for the reduction of emissions of harmful gases and particle matter in order to preserve the quality of the environment. The MCO method was developed and applied to rank the fire hazard of vehicles based on biological and ecological criteria whose weight coefficients were determined by the BWM and AHP methods. The results obtained through the application of modern scientific principles and the methodology of scientific work represent an original contribution to the analysis and solution of complex environmental and economic problems that follow the production of electricity and the functioning of power systems in accordance with the modern strategy of clean energy.

mikromreža, obnovljivi izvori energije, električna vozila, V2G tehnologija, upravljanje potrošnjom, požari vozila

microgrid, renewable energy sources, electric vehicles, V2G technology, demand side management, vehicle fires

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T 190

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