Methodology Presentation for the Configuration Optimization of Hybrid Electrical Energy Systems

Dubravko Žigman, Tomislav Tomiša and Krešimir Osman ()
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Dubravko Žigman: Department of Electrical Engineering, Zagreb University of Applied Sciences, Konavoska 2, 10 000 Zagreb, Croatia
Tomislav Tomiša: Department of Energy and Power Systems, Faculty of Electrical Engineering and Computing, University of Zagreb, Unska 3, 10 000 Zagreb, Croatia
Krešimir Osman: Department of Electrical Engineering, Zagreb University of Applied Sciences, Konavoska 2, 10 000 Zagreb, Croatia

Energies, 2023, vol. 16, issue 5, 1-25

Abstract: The paper presents the methodology that should be used to optimize hybrid power system configurations, i.e., the chosen microgrid scenario. The methodology was developed with the aim of evaluating the different production capacities of a system and comparing them with alternative connections to the main grid. It has a step-by-step structure and includes part of the steps performed by simulations in a computer program. It provides us with not only a basic but also a representative idea of an actual microgrid configuration, which is further used as support in the system’s design. An algorithm has been developed to check the energy flows and correct the selling price. The program HOMER Pro is used as the program support in performing the hybrid optimization simulation. In the analysis, it was found that the maximum share of generation from renewable energy sources in relation to the power grid is 143%, while the share of renewable energy sources in the generated energy is 65.3%. Greenhouse gas emissions are reduced by 40.75% compared to energy generated only from the power grid. In the optimization process, four configurations of the microgrid model with 990 solutions were taken, all of which are feasible.

Keywords: methodology; optimization; simulation; electrical hybrid system; microgrid; hybrid power system configuration (search for similar items in EconPapers)
JEL-codes: Q Q0 Q4 Q40 Q41 Q42 Q43 Q47 Q48 Q49 (search for similar items in EconPapers)
Date: 2023
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