Type of Document Master's Thesis Author Cvetkovic, Igor Author's Email Address email@example.com URN etd-09092010-121815 Title Modeling, Analysis and Design of Renewable Energy Nanogrid Systems Degree Master of Science Department Electrical and Computer Engineering Advisory Committee
Advisor Name Title Boroyevich, Dushan Committee Chair Lee, Fred C. Committee Member Wang, Fei Fred Committee Member Keywords
- electric power distribution systems
- terminal behavioral identification
- system integration
- power converter modeling
Date of Defense 2010-07-22 Availability unrestricted AbstractThe thesis addresses electronic power distribution systems for the residential applications. Presented are both, renewable energy ac-nanogrid system along with the vehicle-to-grid technology implementation, and envisioned structure and operation of dc-nanogrid addressing all system components chosen as an inherent part of the future electrical architecture. The large-scale model is built and tested in the laboratory environment covering a few operational modes of the ac-nanogrid, while later in the thesis is shown how dc bus signaling technique could be contemplated for the energy management of the renewable energy sources and their maximal utilization.
Thesis however puts more focus on the dc-nanogrid system to explore its benefits and advantages for the electrical systems of the future homes that can easily impact not only residential, but also microgrid, grid and intergrid levels. Thus, presented is low frequency terminal behavioral modeling of the system components in dc-nanogrid motivated by the fact that system engineers working on the system-level design rarely have access to all the information required to model converters and system components, other than specification and data given in the datasheets. Using terminal behavioral modeling, converters are measured on-line and their low frequency dynamics is identified by the means of the four transfer functions characteristically used in two port network models. This approach could significantly improve system-level design and simulations.
In addition to previously mentioned, thesis addresses terminal behavioral modeling of dc-dc converters with non-linear static behavior showing hybrid behavioral models based on the Hammerstein approach.
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