Modeling and Energy Management of a Microgrid Based on Predictive Control Strategies
This work presents the modeling and energy management of a microgrid through models developed based on physical equations for its optimal control. The microgrid’s energy management system was built with one of the most popular control algorithms in microgrid energy management systems: model predicti...
| Main Authors: | , , , , |
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| Format: | info:eu-repo/semantics/article |
| Language: | English |
| Published: |
MDPI
2023
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| Subjects: | |
| Online Access: | http://hdl.handle.net/10835/14155 |
| _version_ | 1789406594082013184 |
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| author | Topa Gavilema, Alex Omar Gil Vergel, Juan Diego Álvarez Hervás, José Domingo Torres Moreno, José Luis Pérez García, Manuel |
| author_facet | Topa Gavilema, Alex Omar Gil Vergel, Juan Diego Álvarez Hervás, José Domingo Torres Moreno, José Luis Pérez García, Manuel |
| author_sort | Topa Gavilema, Alex Omar |
| collection | DSpace |
| description | This work presents the modeling and energy management of a microgrid through models developed based on physical equations for its optimal control. The microgrid’s energy management system was built with one of the most popular control algorithms in microgrid energy management systems: model predictive control. This control strategy aims to satisfy the load demand of an office located in the CIESOL bioclimatic building, which was placed in the University of Almería, using a quadratic cost function. The simulation scenarios took into account real simulation parameters provided by the microgrid of the building. For case studies of one and five days, the optimization was aimed at minimizing the input energy flows of the microgrid and the difference between the energy generated and demanded by the load, subject to a series of physical constraints for both outputs and inputs. The results of this work show how, with the correct tuning of the control strategy, the energy demand of the building is covered through the optimal management of the available energy sources, reducing the energy consumption of the public grid, regarding a wrong tuning of the controller, by 1 kWh per day for the first scenario and 7 kWh for the last. |
| format | info:eu-repo/semantics/article |
| id | oai:repositorio.ual.es:10835-14155 |
| institution | Universidad de Cuenca |
| language | English |
| publishDate | 2023 |
| publisher | MDPI |
| record_format | dspace |
| spelling | oai:repositorio.ual.es:10835-141552023-10-27T12:24:34Z Modeling and Energy Management of a Microgrid Based on Predictive Control Strategies Topa Gavilema, Alex Omar Gil Vergel, Juan Diego Álvarez Hervás, José Domingo Torres Moreno, José Luis Pérez García, Manuel predictive control modeling microgrid energy management solar energy This work presents the modeling and energy management of a microgrid through models developed based on physical equations for its optimal control. The microgrid’s energy management system was built with one of the most popular control algorithms in microgrid energy management systems: model predictive control. This control strategy aims to satisfy the load demand of an office located in the CIESOL bioclimatic building, which was placed in the University of Almería, using a quadratic cost function. The simulation scenarios took into account real simulation parameters provided by the microgrid of the building. For case studies of one and five days, the optimization was aimed at minimizing the input energy flows of the microgrid and the difference between the energy generated and demanded by the load, subject to a series of physical constraints for both outputs and inputs. The results of this work show how, with the correct tuning of the control strategy, the energy demand of the building is covered through the optimal management of the available energy sources, reducing the energy consumption of the public grid, regarding a wrong tuning of the controller, by 1 kWh per day for the first scenario and 7 kWh for the last. 2023-01-12T15:51:57Z 2023-01-12T15:51:57Z 2023-01-10 info:eu-repo/semantics/article 2673-9941 http://hdl.handle.net/10835/14155 10.3390/solar3010005 en https://www.mdpi.com/2673-9941/3/1/5 Attribution-NonCommercial-NoDerivatives 4.0 Internacional http://creativecommons.org/licenses/by-nc-nd/4.0/ info:eu-repo/semantics/openAccess MDPI |
| spellingShingle | predictive control modeling microgrid energy management solar energy Topa Gavilema, Alex Omar Gil Vergel, Juan Diego Álvarez Hervás, José Domingo Torres Moreno, José Luis Pérez García, Manuel Modeling and Energy Management of a Microgrid Based on Predictive Control Strategies |
| title | Modeling and Energy Management of a Microgrid Based on Predictive Control Strategies |
| title_full | Modeling and Energy Management of a Microgrid Based on Predictive Control Strategies |
| title_fullStr | Modeling and Energy Management of a Microgrid Based on Predictive Control Strategies |
| title_full_unstemmed | Modeling and Energy Management of a Microgrid Based on Predictive Control Strategies |
| title_short | Modeling and Energy Management of a Microgrid Based on Predictive Control Strategies |
| title_sort | modeling and energy management of a microgrid based on predictive control strategies |
| topic | predictive control modeling microgrid energy management solar energy |
| url | http://hdl.handle.net/10835/14155 |
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