El Badawe, Mohamed (2012) Optimal sizing, modeling, and design of a supervisory controller of a stand-alone hybrid energy system. Masters thesis, Memorial University of Newfoundland.
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Microwave repeaters are one of the main energy consumers in the telecommunication industry. These repeaters are powered using diesel generators and batteries, particularly when they are located in remote areas. Diesel generators require a higher maintenance cost and for remote sites this cost will be more due inaccessibility and spare transportation to the added its operating cost. This thesis researches optimal sizing and compares a non-renewable energy system (existing system) and a renewable energy system (proposed system) for a remotely located telecommunication site in Mulligan, Labrador in Canada. The current system is operated using a diesel generator and batteries and the proposed system is expected to integrate a hybrid wind and solar energy system with the existing diesel generator and batteries. Hybrid Optimization Model for Electric Renewable (HOMER) software is used to obtain the most feasible configuration of a hybrid renewable energy system. Secondly, the proposed hybrid system is modeled in Matlab/Simulink and results are presented to demonstrate the system's performance. Finally, a real time supervisory controller has been designed and implemented for a small scale hybrid power system at Memorial University of Newfoundland. The overall reliability is guaranteed since there are two backup sources; battery bank and diesel generator. The results show the hybrid renewable energy system is cost effective. The proposed system significantly reduces the running time of the diesel generator and this helps to reduce the emission level. Moreover, it is expected that the proposed system will help the BellAliant Company to provide uninterrupted power for their sites in remote areas of Labrador.
|Item Type:||Thesis (Masters)|
|Additional Information:||Includes bibliographical references (leaves 107-115).|
|Department(s):||Engineering and Applied Science, Faculty of|
|Library of Congress Subject Heading:||Hybrid power systems--Computer simulation; Electric power systems--Control; Solar energy--Hybrid systems; Wind power; Diesel electric power-plants|
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