Battery Sizing Method for Microgrids—A Colombian Application Case
The introduction of renewable energy sources in microgrids increases energy reliability, especially in small communities that operate disconnected from the main power grid. A battery energy storage system (BESS) plays an important role in microgrids because it helps mitigate the problems caused by t...
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MDPI AG
2025-05-01
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| Series: | Computation |
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| Online Access: | https://www.mdpi.com/2079-3197/13/5/114 |
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| author | Andres Felipe Zamora-Muñoz Martha Lucia Orozco-Gutierrez Dany Mauricio Lopez-Santiago Jhoan Alejandro Montenegro-Oviedo Carlos Andres Ramos-Paja |
| author_facet | Andres Felipe Zamora-Muñoz Martha Lucia Orozco-Gutierrez Dany Mauricio Lopez-Santiago Jhoan Alejandro Montenegro-Oviedo Carlos Andres Ramos-Paja |
| author_sort | Andres Felipe Zamora-Muñoz |
| collection | DOAJ |
| description | The introduction of renewable energy sources in microgrids increases energy reliability, especially in small communities that operate disconnected from the main power grid. A battery energy storage system (BESS) plays an important role in microgrids because it helps mitigate the problems caused by the variability of renewable energy sources, such as unattended demand and voltage instability. However, a BESS increases the cost of a microgrid due to the initial investment and maintenance, requiring a cost–benefit analysis to determine its size for each application. This paper addresses this problem by formulating a method that combines economic and technical approaches to provide favorable relations between costs and performances. Mixed integer linear programming (MILP) is used as optimization algorithm to size BESS, which is applied to an isolated community in Colombia located at Isla Múcura. The results indicate that the optimal BESS requires a maximum power of 17.6 kW and a capacity of 76.61 kWh, which is significantly smaller than the existing 480 kWh system. Thus, a reduction of 83.33% in the number of batteries is obtained. This optimized size reduces operational costs while maintaining technical reliability. The proposed method aims to solve an important problem concerning state policy and the universalization of electrical services, providing more opportunities to decision makers in minimizing the costs and efforts in the implementation of energy storage systems for isolated microgrids. |
| format | Article |
| id | doaj-art-ac89dfc681f84126b9ff8c0010f08a1c |
| institution | OA Journals |
| issn | 2079-3197 |
| language | English |
| publishDate | 2025-05-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Computation |
| spelling | doaj-art-ac89dfc681f84126b9ff8c0010f08a1c2025-08-20T01:56:16ZengMDPI AGComputation2079-31972025-05-0113511410.3390/computation13050114Battery Sizing Method for Microgrids—A Colombian Application CaseAndres Felipe Zamora-Muñoz0Martha Lucia Orozco-Gutierrez1Dany Mauricio Lopez-Santiago2Jhoan Alejandro Montenegro-Oviedo3Carlos Andres Ramos-Paja4Escuela de Ingeniería Eléctrica y Electrónica, Universidad del Valle, Cali 760042, ColombiaEscuela de Ingeniería Eléctrica y Electrónica, Universidad del Valle, Cali 760042, ColombiaGrupo de Investigación GITICAP, Potencia y Tecnologías Incorporadas S.A., Carrera 56, 2-50, Cali 760042, ColombiaEscuela de Ingeniería Eléctrica y Electrónica, Universidad del Valle, Cali 760042, ColombiaFacultad de Minas, Universidad Nacional de Colombia, Medellin 050041, ColombiaThe introduction of renewable energy sources in microgrids increases energy reliability, especially in small communities that operate disconnected from the main power grid. A battery energy storage system (BESS) plays an important role in microgrids because it helps mitigate the problems caused by the variability of renewable energy sources, such as unattended demand and voltage instability. However, a BESS increases the cost of a microgrid due to the initial investment and maintenance, requiring a cost–benefit analysis to determine its size for each application. This paper addresses this problem by formulating a method that combines economic and technical approaches to provide favorable relations between costs and performances. Mixed integer linear programming (MILP) is used as optimization algorithm to size BESS, which is applied to an isolated community in Colombia located at Isla Múcura. The results indicate that the optimal BESS requires a maximum power of 17.6 kW and a capacity of 76.61 kWh, which is significantly smaller than the existing 480 kWh system. Thus, a reduction of 83.33% in the number of batteries is obtained. This optimized size reduces operational costs while maintaining technical reliability. The proposed method aims to solve an important problem concerning state policy and the universalization of electrical services, providing more opportunities to decision makers in minimizing the costs and efforts in the implementation of energy storage systems for isolated microgrids.https://www.mdpi.com/2079-3197/13/5/114microgridrenewable energybattery energy storage systems (BESSs)optimal sizingmixed integer linear programming (MILP) |
| spellingShingle | Andres Felipe Zamora-Muñoz Martha Lucia Orozco-Gutierrez Dany Mauricio Lopez-Santiago Jhoan Alejandro Montenegro-Oviedo Carlos Andres Ramos-Paja Battery Sizing Method for Microgrids—A Colombian Application Case Computation microgrid renewable energy battery energy storage systems (BESSs) optimal sizing mixed integer linear programming (MILP) |
| title | Battery Sizing Method for Microgrids—A Colombian Application Case |
| title_full | Battery Sizing Method for Microgrids—A Colombian Application Case |
| title_fullStr | Battery Sizing Method for Microgrids—A Colombian Application Case |
| title_full_unstemmed | Battery Sizing Method for Microgrids—A Colombian Application Case |
| title_short | Battery Sizing Method for Microgrids—A Colombian Application Case |
| title_sort | battery sizing method for microgrids a colombian application case |
| topic | microgrid renewable energy battery energy storage systems (BESSs) optimal sizing mixed integer linear programming (MILP) |
| url | https://www.mdpi.com/2079-3197/13/5/114 |
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