Publication:
Cloud-based energy management system for grid-connect prosumer microgrid

dc.contributor.advisor Andrade Rengifo, Fabio
dc.contributor.author Sanabria Torres, Enrique Alberto
dc.contributor.college College of Engineering en_US
dc.contributor.committee Diaz Aldana, Nelson Leonardo
dc.contributor.committee Aponte Bezares, Erick E.
dc.contributor.department Department of Electrical and Computer Engineering en_US
dc.contributor.representative Narciso Farias, Flor E.
dc.date.accessioned 2022-07-08T15:46:09Z
dc.date.available 2022-07-08T15:46:09Z
dc.date.issued 2022-07-07
dc.description.abstract In a Microgrid, the integration of many tasks enables a proper energy management system. Jobs involving real-time support and information processing for having an autonomous and scalable management system, and others such as massive data storage capabilities and security considerations to guarantee Microgrid reliability and validity, are a few. This document presents an experimental platform to emulate a real-time energy management system for a grid connect Microgrid, solving the economic dispatch problem under a cloud-based architecture and ensuring the appropriately supervised learning functionality in a Microgrid with smart measurements. Namely, it was necessary to revise and run Microgrid implementations, integrate real-time simulation platforms, connect to a virtual server from a Microgrid control, and set the energy management system using cloud computing. <br /> &nbsp; en_US
dc.description.abstract En una Microrred, la integración de muchas tareas posibilita un adecuado sistema de gestión energética. Los trabajos que involucran soporte en tiempo real y procesamiento de información para tener un sistema de administración autónomo y escalable, y otros como las capacidades de almacenamiento masivo de datos y consideraciones de seguridad para garantizar la confiabilidad y validez de la Microred, son algunas. Este documento presenta una plataforma experimental para emular un sistema de gestión de energía en tiempo real en una Microrred que resuelva las tareas mencionadas. El sistema de gestión de energía resuelve el problema de despacho económico bajo una arquitectura basada en la nube y asegura la funcionalidad de aprendizaje adecuado, supervisando la Microred con mediciones inteligentes. Es decir, fue necesario revisar y ejecutar experimentalmente una Microred, integrando plataformas de simulación en tiempo real, que se conecten a un servidor en la nube para ejecutar el sistema de gestión de energia. en_US
dc.description.graduationSemester Summer en_US
dc.description.graduationYear 2022 en_US
dc.identifier.uri https://hdl.handle.net/20.500.11801/2921
dc.language.iso en en_US
dc.rights Attribution-NonCommercial-NoDerivs 3.0 United States *
dc.rights.holder (c) 2022 Enrique A. Sanabria Torres en_US
dc.rights.uri http://creativecommons.org/licenses/by-nc-nd/3.0/us/ *
dc.subject MIcrogrid en_US
dc.subject Energy manager system en_US
dc.subject Smart meter en_US
dc.subject Economic Dispatch problem en_US
dc.subject Cloud computing en_US
dc.subject.lcsh Microgrids (Smart power grids) en_US
dc.subject.lcsh Backup processing en_US
dc.subject.lcsh Ubiquitous computing en_US
dc.subject.lcsh Electric power systems control en_US
dc.title Cloud-based energy management system for grid-connect prosumer microgrid en_US
dc.type Thesis en_US
dspace.entity.type Publication
thesis.degree.discipline Electrical Engineering en_US
thesis.degree.level M.S. en_US
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