dc.contributor.advisor | Aravinthan, Visvakumar | |
dc.contributor.author | Sepehry, Mojtaba | |
dc.date.accessioned | 2019-06-26T18:45:41Z | |
dc.date.available | 2019-06-26T18:45:41Z | |
dc.date.issued | 2019-05 | |
dc.identifier.other | d19015 | |
dc.identifier.uri | http://hdl.handle.net/10057/16388 | |
dc.description | Thesis (Ph.D.)-- Wichita State University, College of Engineering, Dept. of Electrical Engineering & Computer Science | |
dc.description.abstract | The optimal planning and energy management of microgrids in the face of uncertain information
is a challenging task. Microgrids have the ability to improve economical operation, reliability,
and power quality of electric power systems. They offer excellent potential to mitigate inherent
uncertainty and intermittency of renewable generation and facilitate higher penetration of these
resources. In order to realize the potential benefits of microgrids, two requirements should be
met. The first requirement is a practical model that captures the operational characteristics of a
microgrid. This model then should be integrated with an efficient decision-making algorithm
under uncertainty to effectively improve the economical operation and power quality. These
requirements are the motivation behind this thesis. The objective of this thesis is first examining
different methods for decision-making under uncertainty and comparing their characteristics.
The second objective is proposing a detailed model that incorporates the operational and power
quality constraints necessary for realistic modeling and secure operation of microgrids. These
objectives are followed in the context of different planning problems including electric vehicles
parking lot placement, reconfiguration, and day-ahead operation planning of microgrids. | |
dc.format.extent | xxi, 85 pages | |
dc.language.iso | en_US | |
dc.publisher | Wichita State University | |
dc.rights | Copyright 2019 by Mojtaba Sepehry
All Rights Reserved | |
dc.subject.lcsh | Electronic dissertation | |
dc.title | Microgrid operation and planning under uncertainty | |
dc.type | Dissertation | |