Microgrid Management Strategies for Economic Dispatch of Electricity Using Model Predictive Control Techniques: A Review
In recent years, microgrid (MG) deployment has significantly increased, utilizing various technologies. MGs are essential for integrating distributed generation into electric power systems. These systems’ economic dispatch (ED) aims to minimize generation costs within a specific time interval while...
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| Format: | Article |
| Language: | English |
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MDPI AG
2023-08-01
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| Series: | Energies |
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| Online Access: | https://www.mdpi.com/1996-1073/16/16/5935 |
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| author | Juan Moreno-Castro Victor Samuel Ocaña Guevara Lesyani Teresa León Viltre Yandi Gallego Landera Oscar Cuaresma Zevallos Miguel Aybar-Mejía |
| author_facet | Juan Moreno-Castro Victor Samuel Ocaña Guevara Lesyani Teresa León Viltre Yandi Gallego Landera Oscar Cuaresma Zevallos Miguel Aybar-Mejía |
| author_sort | Juan Moreno-Castro |
| collection | DOAJ |
| description | In recent years, microgrid (MG) deployment has significantly increased, utilizing various technologies. MGs are essential for integrating distributed generation into electric power systems. These systems’ economic dispatch (ED) aims to minimize generation costs within a specific time interval while meeting power generation constraints. By employing ED in electric MGs, the utilization of distributed energy resources becomes more flexible, enhancing energy system efficiency. Additionally, it enables the anticipation and proper utilization of operational limitations and encourages the active involvement of prosumers in the electricity market. However, implementing controllers and algorithms for optimizing ED requires the independent handling of constraints. Numerous algorithms and solutions have been proposed for the ED of MGs. These contributions suggest utilizing techniques such as particle swarm optimization (PSO), mixed-integer linear programming (MILP), CPLEX, and MATLAB. This paper presents an investigation of the use of model predictive control (MPC) as an optimal management tool for MGs. MPC has proven effective in ED by allowing the prediction of environmental or dynamic models within the system. This study aims to review MGs’ management strategies, specifically focusing on MPC techniques. It analyzes how MPC has been applied to optimize ED while considering MGs’ unique characteristics and requirements. This review aims to enhance the understanding of MPC’s role in efficient MG management, guiding future research and applications in this field. |
| first_indexed | 2024-03-10T23:57:54Z |
| format | Article |
| id | doaj.art-0966751c34f14e83962a8c35b2737041 |
| institution | Directory Open Access Journal |
| issn | 1996-1073 |
| language | English |
| last_indexed | 2024-03-10T23:57:54Z |
| publishDate | 2023-08-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Energies |
| spelling | doaj.art-0966751c34f14e83962a8c35b27370412023-11-19T00:56:20ZengMDPI AGEnergies1996-10732023-08-011616593510.3390/en16165935Microgrid Management Strategies for Economic Dispatch of Electricity Using Model Predictive Control Techniques: A ReviewJuan Moreno-Castro0Victor Samuel Ocaña Guevara1Lesyani Teresa León Viltre2Yandi Gallego Landera3Oscar Cuaresma Zevallos4Miguel Aybar-Mejía5Ciencias Básicas, Instituto Tecnológico de Santo Domingo, Santo Domingo 10602, Dominican RepublicCiencias Básicas, Instituto Tecnológico de Santo Domingo, Santo Domingo 10602, Dominican RepublicDepartamento de Ingeniería Eléctrica y Electrónica, Universidad del Bío-Bío, Concepción 4051381, ChileDepartamento de Ingeniería Eléctrica y Electrónica, Universidad del Bío-Bío, Concepción 4051381, ChileDepartment of Electrical Engineering, State University of Rio de Janeiro UERJ, Rio de Janeiro 20550-900, BrazilEngineering Area, Instituto Tecnológico de Santo Domingo, Santo Domingo 10602, Dominican RepublicIn recent years, microgrid (MG) deployment has significantly increased, utilizing various technologies. MGs are essential for integrating distributed generation into electric power systems. These systems’ economic dispatch (ED) aims to minimize generation costs within a specific time interval while meeting power generation constraints. By employing ED in electric MGs, the utilization of distributed energy resources becomes more flexible, enhancing energy system efficiency. Additionally, it enables the anticipation and proper utilization of operational limitations and encourages the active involvement of prosumers in the electricity market. However, implementing controllers and algorithms for optimizing ED requires the independent handling of constraints. Numerous algorithms and solutions have been proposed for the ED of MGs. These contributions suggest utilizing techniques such as particle swarm optimization (PSO), mixed-integer linear programming (MILP), CPLEX, and MATLAB. This paper presents an investigation of the use of model predictive control (MPC) as an optimal management tool for MGs. MPC has proven effective in ED by allowing the prediction of environmental or dynamic models within the system. This study aims to review MGs’ management strategies, specifically focusing on MPC techniques. It analyzes how MPC has been applied to optimize ED while considering MGs’ unique characteristics and requirements. This review aims to enhance the understanding of MPC’s role in efficient MG management, guiding future research and applications in this field.https://www.mdpi.com/1996-1073/16/16/5935bi-level optimizationeconomic dispatchmicrogridmodel predictive control |
| spellingShingle | Juan Moreno-Castro Victor Samuel Ocaña Guevara Lesyani Teresa León Viltre Yandi Gallego Landera Oscar Cuaresma Zevallos Miguel Aybar-Mejía Microgrid Management Strategies for Economic Dispatch of Electricity Using Model Predictive Control Techniques: A Review Energies bi-level optimization economic dispatch microgrid model predictive control |
| title | Microgrid Management Strategies for Economic Dispatch of Electricity Using Model Predictive Control Techniques: A Review |
| title_full | Microgrid Management Strategies for Economic Dispatch of Electricity Using Model Predictive Control Techniques: A Review |
| title_fullStr | Microgrid Management Strategies for Economic Dispatch of Electricity Using Model Predictive Control Techniques: A Review |
| title_full_unstemmed | Microgrid Management Strategies for Economic Dispatch of Electricity Using Model Predictive Control Techniques: A Review |
| title_short | Microgrid Management Strategies for Economic Dispatch of Electricity Using Model Predictive Control Techniques: A Review |
| title_sort | microgrid management strategies for economic dispatch of electricity using model predictive control techniques a review |
| topic | bi-level optimization economic dispatch microgrid model predictive control |
| url | https://www.mdpi.com/1996-1073/16/16/5935 |
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