Open AccessInvestigate the optimal power system by using hybrid optimization of multiple energy resources software
Author(s) -
Ghanim Thiab Hasan,
Ali Hlal Mutlaq,
Mohammad Omar Salih
Publication year - 2022
Publication title -
indonesian journal of electrical engineering and computer science
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.241
H-Index - 17
eISSN - 2502-4760
pISSN - 2502-4752
DOI - 10.11591/ijeecs.v26.i1.pp9-19
Subject(s) - hybrid power , hybrid system , renewable energy , photovoltaic system , automotive engineering , diesel generator , software , wind power , electric power system , turbine , computer science , power (physics) , simulation , engineering , electrical engineering , diesel fuel , mechanical engineering , operating system , physics , quantum mechanics , machine learning
Increasing the effects of global pollution and the availability of renewable energy sources has push many countries to use reasonable energy sources such as wind and solar energy. This paper presents a case study of evaluating a hybrid renewable energy system by using a hybrid optimization of multiple energy resources (HOMER) software program based on the entered data available from the net for the considered location. The hybrid system consisting of a wind turbine, a photovoltaic system, a battery and a diesel generator. The simulation results are presented in a graphical curves n HOMER software. The obtained results indicate that by using the HOMER simulation program, the optimal design of the hybrid electrical power system for the considered location can be achieved which can help the designer to decide the types and number of the competent required for conducting the intending hybrid electrical power system which results in optimum output power in addition to reducing the overall operating costs.