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Comparative Study of HVAC and HVDC Transmission Systems With Proposed Machine Learning Algorithms for Fault Location Detection

Abstract High Voltage Direct Current (HVDC) Technology has several features that make it particularly attractive for specific transmission applications. Recent years have witnessed an unprecedented growth in the number of the HVDC projects, which demonstrates a heightened interest in the HVDC technology. In parallel, the use of renewable energy sources has dramatically increased. For instance, Kuwait has recently announced a renewable project to be completed in 2035; this project aims to produce 15% of the countrys energy consumption from renewable sources. However, facilities that use renewable sources, such as solar and wind, to provide clean energy, are mostly placed in remote areas, as their installation requires a massive space of free land. Co... (more)
Created Date 2019
Contributor Albannai, Bassam Ahmad (Author) / Weng, Yang (Advisor) / Wu, Meng (Committee member) / Dahal, Som (Committee member) / Arizona State University (Publisher)
Subject Electrical engineering / High Voltage Direct Current / Kuwait 2035 Project / Machine Learning / Renewable Integration
Type Masters Thesis
Extent 91 pages
Language English
Note Masters Thesis Electrical Engineering 2019
Collaborating Institutions Graduate College / ASU Library
Additional Formats MODS / OAI Dublin Core / RIS

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Description Dissertation/Thesis