Abstract
To meet the growing demand for electricity generation, the use of renewable energy sources represents an ideal alternative to traditional resources. Compared to individual systems utilizing renewable energy sources, hybrid renewable energy systems (HRES) for electricity generation combine renewable energy sources and/or fossil fuels, providing more reliable electricity supply while achieving environmental and economic sustainability. It is crucial to optimally model all components of hybrid energy systems to meet overall electricity demands with minimal investment and operational costs. This paper provides an overview of currently available commercial software for optimizing hybrid renewable energy systems, with a specific focus on the software Homer (Hybrid Optimization of Multiple Electric Renewables). Approaches and phases of the optimization process for these systems are presented, as well as key parameters that must be considered during analysis.
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