Coordinated Energy Management Strategy for DC Microgrid With Hybrid Energy Storage System: A Real‐Time Case Study
ABSTRACT DC microgrids, which combine multiple renewable energy sources, have gained attention due to their advantages in terms of cost, efficiency, and reliability, particularly in remote areas. However, voltage stability, efficient energy management, and the degradation of storage device lifespan...
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2025-06-01
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| Online Access: | https://doi.org/10.1002/eng2.70241 |
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| author | Biks Alebachew Taye |
| author_facet | Biks Alebachew Taye |
| author_sort | Biks Alebachew Taye |
| collection | DOAJ |
| description | ABSTRACT DC microgrids, which combine multiple renewable energy sources, have gained attention due to their advantages in terms of cost, efficiency, and reliability, particularly in remote areas. However, voltage stability, efficient energy management, and the degradation of storage device lifespan due to frequent load and source fluctuations are among the main practical challenges faced by DC microgrids. This paper presents an advanced approach to energy management within DC microgrids, addressing these challenges by incorporating real‐world weather data and community load demands. Weather data, including temperature, solar radiation, and wind speed, are sourced from reputable repositories such as SWERA, NASA, and local meteorological agencies. The economic viability of solar, wind, and energy storage systems is meticulously evaluated using HOMER Pro software, aiding in the identification of viable energy sources. Once optimized energy resources, energy storage solutions, and load demands are identified, a systematic approach is taken. This involves the selection, mathematical modeling, and sizing of converter components. To ensure the efficiency of the intended DC microgrid, control and energy management algorithms are proposed. The proposed energy management system adopts a coordinated approach, seamlessly integrating droop control, adaptive filter‐based method, and fuzzy logic control techniques. To evaluate the efficacy of the proposed system, two primary case studies are simulated using MATLAB/Simulink, employing authentic weather and community load data. The results unequivocally demonstrate that the proposed system exhibits heightened stability, efficiency, and reliability when compared to previously proposed methods. The maximum voltage overshot and voltage dip are 2.8 V and 1.6 V, respectively. The settling time of overshot and voltage drop is 0.07 S and 0.04 S, respectively. This superior voltage regulation achieved by the proposed method is a pivotal contributor to overall system stability and reliability. |
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| language | English |
| publishDate | 2025-06-01 |
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| spelling | doaj-art-0f796c19bdd740248901c8a7ced4b9192025-08-20T02:22:14ZengWileyEngineering Reports2577-81962025-06-0176n/an/a10.1002/eng2.70241Coordinated Energy Management Strategy for DC Microgrid With Hybrid Energy Storage System: A Real‐Time Case StudyBiks Alebachew Taye0Department of Electrical and Computer Engineering Debre Tabor University Debre Tabor Amhara EthiopiaABSTRACT DC microgrids, which combine multiple renewable energy sources, have gained attention due to their advantages in terms of cost, efficiency, and reliability, particularly in remote areas. However, voltage stability, efficient energy management, and the degradation of storage device lifespan due to frequent load and source fluctuations are among the main practical challenges faced by DC microgrids. This paper presents an advanced approach to energy management within DC microgrids, addressing these challenges by incorporating real‐world weather data and community load demands. Weather data, including temperature, solar radiation, and wind speed, are sourced from reputable repositories such as SWERA, NASA, and local meteorological agencies. The economic viability of solar, wind, and energy storage systems is meticulously evaluated using HOMER Pro software, aiding in the identification of viable energy sources. Once optimized energy resources, energy storage solutions, and load demands are identified, a systematic approach is taken. This involves the selection, mathematical modeling, and sizing of converter components. To ensure the efficiency of the intended DC microgrid, control and energy management algorithms are proposed. The proposed energy management system adopts a coordinated approach, seamlessly integrating droop control, adaptive filter‐based method, and fuzzy logic control techniques. To evaluate the efficacy of the proposed system, two primary case studies are simulated using MATLAB/Simulink, employing authentic weather and community load data. The results unequivocally demonstrate that the proposed system exhibits heightened stability, efficiency, and reliability when compared to previously proposed methods. The maximum voltage overshot and voltage dip are 2.8 V and 1.6 V, respectively. The settling time of overshot and voltage drop is 0.07 S and 0.04 S, respectively. This superior voltage regulation achieved by the proposed method is a pivotal contributor to overall system stability and reliability.https://doi.org/10.1002/eng2.70241coordinated energy managementDC microgrid controlenergy resourceshybrid energy storageload assessmentmicrogrid voltage regulation |
| spellingShingle | Biks Alebachew Taye Coordinated Energy Management Strategy for DC Microgrid With Hybrid Energy Storage System: A Real‐Time Case Study Engineering Reports coordinated energy management DC microgrid control energy resources hybrid energy storage load assessment microgrid voltage regulation |
| title | Coordinated Energy Management Strategy for DC Microgrid With Hybrid Energy Storage System: A Real‐Time Case Study |
| title_full | Coordinated Energy Management Strategy for DC Microgrid With Hybrid Energy Storage System: A Real‐Time Case Study |
| title_fullStr | Coordinated Energy Management Strategy for DC Microgrid With Hybrid Energy Storage System: A Real‐Time Case Study |
| title_full_unstemmed | Coordinated Energy Management Strategy for DC Microgrid With Hybrid Energy Storage System: A Real‐Time Case Study |
| title_short | Coordinated Energy Management Strategy for DC Microgrid With Hybrid Energy Storage System: A Real‐Time Case Study |
| title_sort | coordinated energy management strategy for dc microgrid with hybrid energy storage system a real time case study |
| topic | coordinated energy management DC microgrid control energy resources hybrid energy storage load assessment microgrid voltage regulation |
| url | https://doi.org/10.1002/eng2.70241 |
| work_keys_str_mv | AT biksalebachewtaye coordinatedenergymanagementstrategyfordcmicrogridwithhybridenergystoragesystemarealtimecasestudy |