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Optimal power flow in hybrid renewable energy systems using an improved genetic algorithm

Michalopoulos Ioannis

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Year 2021
Type of Item Diploma Work
Bibliographic Citation Ioannis Michalopoulos, "Optimal power flow in hybrid renewable energy systems using an improved genetic algorithm", Diploma Work, School of Electrical and Computer Engineering, Technical University of Crete, Chania, Greece, 2021
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Nowadays, the continuous burning of fossil fuels for energy production has created many environmental problems on the planet. For this reason, it is now imperative to gradually switch to renewable energy sources, in order to exploit them for ecological and economic reasons. Many times, solar-powered systems, such as photovoltaic panels, and wind-powered wind turbines, are combined together and form hybrid power systems to meet electricity needs and store energy in batteries. Hybrid power systems are a promising technology for clean and continuous development. The purpose of this dissertation is to find the optimal installation of such a hybrid system based on the lowest energy production costs. The technique used concerns optimization algorithms and specifically the genetic algorithm. This optimization proposal is based on the economic analysis and cost minimization in such a model, in the region of Thessaly.

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