Real time hardware implementation of power converters for grid integration of distributed generation and statcom systems

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dc.contributor Li, Shuhui
dc.contributor Haskew, Tim A.
dc.contributor Frazier, Rachel M.
dc.contributor.advisor Li, Shuhui
dc.contributor.author Jaithwa, Ishan
dc.date.accessioned 2017-03-01T17:09:32Z
dc.date.available 2017-03-01T17:09:32Z
dc.date.issued 2014
dc.identifier.other u0015_0000001_0001636
dc.identifier.other Jaithwa_alatus_0004M_11978
dc.identifier.uri https://ir.ua.edu/handle/123456789/2090
dc.description Electronic Thesis or Dissertation
dc.description.abstract Deployment of smart grid technologies is accelerating. Smart grid enables bidirectional flows of energy and energy-related communications. The future electricity grid will look very different from today's power system. Large variable renewable energy sources will provide a greater portion of electricity, small DERs and energy storage systems will become more common, and utilities will operate many different kinds of energy efficiency. All of these changes will add complexity to the grid and require operators to be able to respond to fast dynamic changes to maintain system stability and security. This thesis investigates advanced control technology for grid integration of renewable energy sources and STATCOM systems by verifying them on real time hardware experiments using two different systems: d SPACE and OPAL RT. Three controls: conventional, direct vector control and the intelligent Neural network control were first simulated using Matlab to check the stability and safety of the system and were then implemented on real time hardware using the d SPACE and OPAL RT systems. The thesis then shows how dynamic-programming (DP) methods employed to train the neural networks are better than any other controllers where, an optimal control strategy is developed to ensure effective power delivery and to improve system stability. Through real time hardware implementation it is proved that the neural vector control approach produces the fastest response time, low overshoot, and, the best performance compared to the conventional standard vector control method and DCC vector control technique. Finally the entrepreneurial approach taken to drive the technologies from the lab to market via ORANGE ELECTRIC is discussed in brief.
dc.format.extent 173 p.
dc.format.medium electronic
dc.format.mimetype application/pdf
dc.language English
dc.language.iso en_US
dc.publisher University of Alabama Libraries
dc.relation.ispartof The University of Alabama Electronic Theses and Dissertations
dc.relation.ispartof The University of Alabama Libraries Digital Collections
dc.relation.hasversion born digital
dc.rights All rights reserved by the author unless otherwise indicated.
dc.subject.other Electrical engineering
dc.subject.other Engineering
dc.subject.other Entrepreneurship
dc.title Real time hardware implementation of power converters for grid integration of distributed generation and statcom systems
dc.type thesis
dc.type text
etdms.degree.department University of Alabama. Dept. of Electrical and Computer Engineering
etdms.degree.discipline Electrical and Computer Engineering
etdms.degree.grantor The University of Alabama
etdms.degree.level master's
etdms.degree.name M.S.


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