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