Lower costs of clean energy generation, the need for a more secure grid, and
environmental concerns are leading to create more opportunities for integration of
renewable energy resources utilization in the power systems. The recent concept of
Microgrid (MG), as a part of the development of smart grid, is required in order to
integrate the renewable sources in the utility grid. An MG is described as a small-scale
distribution grid that consists of diversified Distributed Energy Resources (DERs),
Battery Energy Storage Systems (BESSs), and local flexible loads that typically can
either be operated in islanded or grid-connected modes. The optimal utilization control of
such an MG system is a challenging task due to the complexity of coordination among
the DERs, BESSs and load management possibilities. Therefore, in this dissertation,
optimal component sizing and operation of MGs under different operational strategies is
proposed. MGs typically consist of Photovoltaic (PV) systems, wind turbines as well as
microgas turbines, fuel cells, batteries and other dispatchable generating units. Firstly, a methodology to perform the optimal component sizing for DERs in
islanded/grid-tied modes is developed. The proposed optimal algorithm aims to
determine the appropriate configuration among a set of components by taking into
consideration the system’s constraints. An Iterative optimization technique is proposed in
order to minimize the annual cost of energy and cost of emissions including CO2, SO2,
and NOx. A case study from South Florida area, given the local weather data and load
demand is investigated for the modeling verification. Using the results from optimal
component sizes, a day-ahead optimization problem for the operation of an MG under
different scenarios is introduced. Also, the objective function is formulated as a
constrained non-linear problem. The uncertainties of stochastic variables (solar radiation,
wind speed, and load) are modeled and renewable generations and load demand are
forecasted. An advanced dynamic programing procedure is proposed to assess various
operational policies. The simulation results show the efficiency of the proposed method. / Includes bibliography. / Dissertation (Ph.D.)--Florida Atlantic University, 2017. / FAU Electronic Theses and Dissertations Collection
| Identifer | oai:union.ndltd.org:fau.edu/oai:fau.digital.flvc.org:fau_39775 |
| Contributors | Moradi, Hadis (author), Abtahi, Amir (Thesis advisor), Zilouchian, Ali (Thesis advisor), Florida Atlantic University (Degree grantor), College of Engineering and Computer Science, Department of Ocean and Mechanical Engineering |
| Publisher | Florida Atlantic University |
| Source Sets | Florida Atlantic University |
| Language | English |
| Detected Language | English |
| Type | Electronic Thesis or Dissertation, Text |
| Format | 182 p., application/pdf |
| Rights | Copyright © is held by the author, with permission granted to Florida Atlantic University to digitize, archive and distribute this item for non-profit research and educational purposes. Any reuse of this item in excess of fair use or other copyright exemptions requires permission of the copyright holder., http://rightsstatements.org/vocab/InC/1.0/ |
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