Implementation of wild horse optimization (WHO) method for optimal hybrid renewable energy designs

The use of renewable energy has been widely applied worldwide to reduce fossil energy use. A hybrid electric power system based on renewable energy is one of the solutions to produce maximum energy. In this paper, the hybrid systems discussed include photovoltaic (PV), wind turbine (WT), and battery storage (BS). This hybrid design system is very dependent on the load profile, potential energy sources, and geographical location of the research location. This research shows the technical design and capital cost of a hybrid electric power system that will be implemented as an alternative energy source for practical work on the Soroako Technical Academy or Akademi Teknik Soroako (ATS) vocational campus. Irradiance, temperature, average wind speed, and component sizing are the main parameters for the design. The technical analysis and capital cost design use MATLAB software with the wild horse optimization (WHO) algorithm. The results of the WHO analysis will be compared with the HOMER application. The results showed that the WHO algorithm method is better than the HOMER application, with a capital cost of $ 198,363.05 with a total of 772 PV units, 1 unit of WT, and 54 battery units.