This paper proposes an effective energy management strategy for residential microgrid systems, specifically integrating battery energy storage systems and photovoltaic (PV) arrays. Given the increasing adoption of solar PV systems in both residential and industrial sectors, often operating in off-grid or hybrid configurations, efficient energy management is crucial. The presented strategy optimizes energy exchange among interconnected households by continuously monitoring battery state-of-charge (SOC), prioritizing critical loads, and intelligently utilizing surplus PV energy for secondary applications. This approach introduces three distinct operational modes, dynamically adapting to varying power generation and load demands. The proposed methodology ensures efficient energy distribution, prolongs battery lifespan, and significantly reduces reliance on conventional backup generators. Simulation results validate the effectiveness of the developed strategy in maintaining system stability while concurrently minimizing operational costs.
An energy management strategy for islanded DC microgrids. A case study on efficient energy exchange among residential houses / Salman, M., Martirano, L., Falvo, M.C., Boccaletti, C.. - (2025), pp. 1-6. (11th IEEE International Smart Cities Conference, ISC2 2025 Patras, Greece ) [10.1109/isc266238.2025.11293309].
An energy management strategy for islanded DC microgrids. A case study on efficient energy exchange among residential houses
Salman, Muhammad;Martirano, Luigi;Falvo, Maria Carmen;Boccaletti, Chiara
2025
Abstract
This paper proposes an effective energy management strategy for residential microgrid systems, specifically integrating battery energy storage systems and photovoltaic (PV) arrays. Given the increasing adoption of solar PV systems in both residential and industrial sectors, often operating in off-grid or hybrid configurations, efficient energy management is crucial. The presented strategy optimizes energy exchange among interconnected households by continuously monitoring battery state-of-charge (SOC), prioritizing critical loads, and intelligently utilizing surplus PV energy for secondary applications. This approach introduces three distinct operational modes, dynamically adapting to varying power generation and load demands. The proposed methodology ensures efficient energy distribution, prolongs battery lifespan, and significantly reduces reliance on conventional backup generators. Simulation results validate the effectiveness of the developed strategy in maintaining system stability while concurrently minimizing operational costs.| File | Dimensione | Formato | |
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