A new study shows that an intelligent optimization strategy can make hybrid residential microgrids cleaner, cheaper, and more reliable by coordinating solar power, wind power, diesel backup, and battery storage.
As the world looks for practical ways to reduce emissions from electricity generation, hybrid residential microgrids are gaining attention as a promising solution for homes and communities. These systems can combine renewable energy sources, such as solar photovoltaic panels and wind turbines, with diesel generators and battery energy storage systems. However, managing these different resources efficiently remains a major challenge because sunlight, wind, and household demand all fluctuate throughout the day.
In a new study published in Energy & Environment Nexus, researchers developed an optimized energy management strategy for a hybrid residential microgrid using Particle Swarm Optimization, a computational method inspired by the collective movement of birds, fish, and other swarms. The study compared this PSO-based strategy with results from HOMER, a widely used commercial simulation platform for renewable energy systems.
The results showed that the PSO-based approach delivered clear advantages. Compared with HOMER, the new method reduced the Net Present Cost by 12.01%, the cost of energy by 16.09%, diesel fuel consumption by 50%, and CO₂ emissions by 17.65%. These findings suggest that intelligent optimization can help residential microgrids deliver energy more economically while lowering environmental impacts.
"Hybrid microgrids are not only about adding renewable energy resources, but also about managing them wisely," said corresponding author Richard Oladayo Olarewaju. "Our study shows that when solar, wind, diesel generation, and battery storage are coordinated through an effective optimization strategy, the system can reduce costs, cut fuel use, and maintain reliable power supply."
The research team modeled a typical hybrid residential microgrid containing four key components: solar photovoltaic arrays, wind turbines, a diesel generator, and a battery energy storage system. The energy management strategy prioritized renewable energy first. When solar and wind power exceeded demand, surplus energy was stored in the battery. When renewable generation was insufficient, the battery helped meet the shortfall. The diesel generator was used only when renewable power and battery discharge could not fully satisfy demand.
This approach is important because diesel generators are often used as backup power in off-grid or weak-grid communities, but they increase fuel costs and greenhouse gas emissions. By using battery storage to absorb excess renewable energy and release it when needed, the microgrid can rely less on diesel power.
The study found that adding a battery energy storage system had a particularly strong impact. Battery implementation reduced diesel fuel consumption by 74.44%, CO₂ emissions by 80.81%, and the cost of energy by 46.34%. According to the authors, this demonstrates that storage is not simply an add-on technology, but a central component for improving microgrid performance.
Among the six system configurations tested, the best performance came from the full hybrid setup combining solar PV, wind turbine, diesel generator, and battery storage. This configuration achieved the lowest cost, lowest fuel consumption, and lowest emissions while maintaining reliable electricity supply.
"The battery storage system acts as the bridge between renewable energy availability and household demand," Olarewaju added. "It allows the microgrid to use more clean energy when it is available and to reduce dependence on diesel generation when renewable output drops."
The findings provide a useful framework for designing cleaner and more cost-effective residential microgrids, especially in areas where reliable grid electricity is limited or diesel backup remains common. The authors note that optimized energy management can help communities move toward more sustainable power systems without compromising reliability.
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Journal reference: Ayodele TR, Ogunjuyigbe ASO, Dickson IJ, Olarewaju RO. 2026. Optimal energy management of distributed energy resources for a hybrid residential microgrid. Energy & Environment Nexus 2: e012 doi: 10.48130/een-0026-0005
https://www.maxapress.com/article/doi/10.48130/een-0026-0005
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About Energy & Environment Nexus :
Energy & Environment Nexus (e-ISSN 3070-0582) is an open-access journal publishing high-quality research on the interplay between energy systems and environmental sustainability, including renewable energy, carbon mitigation, and green technologies.
