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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| Format: | Article |
| Language: | English |
| Published: |
Wiley
2025-06-01
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| Series: | Engineering Reports |
| Subjects: | |
| Online Access: | https://doi.org/10.1002/eng2.70241 |
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| Summary: | 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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| ISSN: | 2577-8196 |