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Optimal Energy Scheduling of a Hybrid Microgrid Considering Environmental Aspects

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Date Issued:
2017
Abstract/Description:
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.
Title: Optimal Energy Scheduling of a Hybrid Microgrid Considering Environmental Aspects.
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Name(s): 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
Type of Resource: text
Genre: Electronic Thesis Or Dissertation
Date Created: 2017
Date Issued: 2017
Publisher: Florida Atlantic University
Place of Publication: Boca Raton, Fla.
Physical Form: application/pdf
Extent: 182 p.
Language(s): English
Abstract/Description: 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.
Identifier: FA00005923 (IID)
Degree granted: Dissertation (Ph.D.)--Florida Atlantic University, 2017.
Collection: FAU Electronic Theses and Dissertations Collection
Note(s): Includes bibliography.
Subject(s): Dissertations, Academic -- Florida Atlantic University
Held by: Florida Atlantic University Libraries
Sublocation: Digital Library
Links: http://purl.flvc.org/fau/fd/FA00005014
Use and Reproduction: 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.
Use and Reproduction: http://rightsstatements.org/vocab/InC/1.0/
Host Institution: FAU
Is Part of Series: Florida Atlantic University Digital Library Collections.