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Hybrid Renewable Energy Analysis via Homer Pro and ETAP: A case study in Venezuela

AN ABSTRACT OF THE THESIS OFCarlos Eduardo Teran Rivero, for the Master of Science degree in Electrical Engineering, presented on October 15, 2020, at Southern Illinois University Carbondale. TITLE: HYBRID RENEWABLE ENERGY SYSTEMS ANALYSIS VIA HOMER PRO AND ETAP: A CASE STUDY IN VENEZUELA MAJOR PROFESSOR: Dr. Arash Asrari The main objective of this project is to design a realistic hybrid renewable energy system as a micro-grid in order to supply required power to the villages of Coche Island located in Venezuela. Due to the deterioration of Venezuela’s power system, the native people inhabiting in the island frequently find themselves without electricity when there exists a shortage in supply. Considering “Margarita” as an example, the priority of the supply is always considered for the larger communities where there is any relevant issue which will leave the small communities of the Coche Island without any power. The motivation of this thesis is to propose a hybrid micro-grid located in some of the larger villages in the Coche Island using renewable energy resources (RERs) such as photovoltaic and wind turbines such that the community of the corresponding villages can locally generate power in order to cover their basic needs in normal and emergency situations. Toward this end, this thesis presents a hybrid configuration integrated with RERs to address the aforementioned challenges. The suggested frameworks are developed via two different software including ETAP (electrical transient analyzer program) and HOMER (hybrid optimization model for electric renewables), and a comprehensive comparison between the obtained results is provided to validate the effectiveness of the both software in the field of designing hybrid energy systems.

Identiferoai:union.ndltd.org:siu.edu/oai:opensiuc.lib.siu.edu:theses-3807
Date01 December 2020
CreatorsTeran Rivero, Carlos Eduardo
PublisherOpenSIUC
Source SetsSouthern Illinois University Carbondale
Detected LanguageEnglish
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