Improved sizing of PV-BESS DC microgrids : a mixed-integer optimization
department or school: Applied Science, Faculty of
department or school: Electrical and Computer Engineering, Department of
data provider: DSpace
degree campus: UBCV
creator: Bogado, German
issued: 2019-12-17T00:57:45Z
issued: 2019
related degree: Master of Applied Science - MASc
degree grantor: University of British Columbia
description: Remote off-grid communities rely on diesel for generating electricity. In addition to the greenhouse gas emissions, diesel generators require a constant fuel supply leading to transportation and logistics issues over the lifespan of the project. On the other hand, PV-BESS microgrids offer a suitable alternative to provide clean and sustainable energy to the communities due to their decreasing cost, small size, versatility for interconnection and low maintenance. Conventional methods determine the required PV-BESS installed capacity utilizing simple models to assess the financial aspects of the systems. However, they do not provide information about the implementation, thus requiring an additional stage to select available commercial devices and the correct series-parallel interconnection of the PV, BEES and power converters. Consequently, the overall cost of the system increases, while the performance drifts away from the predicted behaviour. In this work, a novel sizing methodology is proposed, reducing the cost of the system by 23%, the installed PV and BESS by 9% and the necessary power converters by 58%. The proposed approach facilitates a comprehensive study of the scenario, incorporating advanced models in the optimization problem, maintaining the financial goals, and adding new goals to a multi-objective optimal energy management strategy (EMS). The proposed optimal solution provides the number of series-parallel interconnected PV and BESS, and the required number of power converters, which eliminates the need for an additional implementation stage. The developed tool provides a comprehensive understanding of standalone microgrids, closing the gap between the optimal solution and industrial implementation.
aggregated CHO: https://circle.library.ubc.ca/rest/handle/2429/72799
note: Improved Sizing of PV-BESSDC Microgrids: AMixed-Integer OptimizationbyGerman BogadoIng., Universidad Nacional del Comahue, 2016A THESIS SUBMITTED IN PARTIAL FULFILLMENT OFTHE REQUIREMENTS FOR THE DEGREE OFMASTER OF APPLIED SCIENCEinThe Faculty of Graduate and Postdoctoral Studies(Electrical & Computer Engineering)THE UNIVERSITY OF BRITISH COLUMBIA(Vancouver)December 2019c© German Bogado 2019The following individuals certify that they have read, and recommend to the Faculty ofGraduate and Postdoctoral Studies for acceptance, the thesis entitled:Improved Sizing of PV-BESS DC Microgrids: A Mixed-Integer Optimizationsubmitted by German Nahuel Bogado in partial fulfillment of the requirements forthe degree of Master of Applied Sciencein Electrical and Computer EngineeringExamining Committee:Dr. Martin Ordonez, Electrical and Computer EngineeringSupervisorDr. William Dunford, Electrical and Computer EngineeringSupervisory Committee MemberDr. Hermann Dommel, Electrical and Computer EngineeringSupervisory Committee MemberiiAbstractRemote off-grid communities rely on diesel for generating electricity. In addition to the green-house gas emissions, diesel generators require a constant fuel supply leading to transportationand logistics issues over the lifespan of the project. On the other hand, PV-BESS microgridsoffer a suitable alternative to provide clean and sustainable energy to the communities due totheir decreasing cost, small size, versatility for interconnection and low maintenance. Conven-tional methods determine the required PV-BESS installed capacity utilizing simple models to assess the financial aspects of the systems. However, they do not provide information about the implementation, thus requiring an additional stage to select available commercial devices and the correct series-parallel interconnection of the PV, BEES and power convert-ers. Consequently, the overall cost of the system increases, while the performance drifts away from the predicted behaviour. In t…
has type: Thesis/Dissertation
date issued: 2020-05
is shown at: 10.14288/1.0387160
language: eng
degree discipline: Electrical and Computer Engineering
provider: Vancouver : University of British Columbia Library
publisher: University of British Columbia
rights: Attribution-NonCommercial-NoDerivatives 4.0 International
rights URI: http://creativecommons.org/licenses/by-nc-nd/4.0/
scholar level: Graduate
type: Text
identifier URI: http://hdl.handle.net/2429/72799