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      Grid edge system simulation and evaluation tool (GESSO): Development of a tool for the modelling and design of distributed cooperating microgrids

      Kelly, Nathan Bryan
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      Kelly, N. B. (2020). Grid edge system simulation and evaluation tool (GESSO): Development of a tool for the modelling and design of distributed cooperating microgrids (Thesis, Master of Science (Research) (MSc(Research))). The University of Waikato, Hamilton, New Zealand. Retrieved from https://hdl.handle.net/10289/13420
      Permanent Research Commons link: https://hdl.handle.net/10289/13420
      Abstract
      As advancements are made in the availability of small renewable generation power storage technologies, nations are starting to see a trend towards more distributed power and generation. As times change, changes must also be made to the ways in which we consume and distribute power. Distributed microgrids represent the ability for communities to cooperate in the distribution of power within neighborhoods.

      This thesis explores the structure of neighborhood scale distributed microgrids, defining the features and components needed to provide for accurate simulation. Techniques are developed for the integration of non-homogeneous microgrid systems to allow for smart grid-edge trading between units and microgrids. Exploration is conducted on the features required for an interactive system allowing the design and modelling of individual microgrid components and of neighborhood-scale microgrids, including the design of per-unit smart control schemes, and a proof of concept implementation is created allowing for simulation of non-homogeneous neighborhood scale fractal microgrids with arbitrary complexity. Sample cases are presented in order to demonstrate the effectiveness of the tool. The presented sample cases serve to demonstrate the effectiveness of small non-homogeneous microgrids, including those involving third party storage leasing services, and analysis is performed on the expected economic impacts of these types of systems.
      Date
      2020
      Type
      Thesis
      Degree Name
      Master of Science (Research) (MSc(Research))
      Supervisors
      Apperley, Mark
      Publisher
      The University of Waikato
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      All items in Research Commons are provided for private study and research purposes and are protected by copyright with all rights reserved unless otherwise indicated.
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      • Masters Degree Theses [2388]
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