.png){kind=icon}
.png){kind=icon}
Return
Electric power management and economic benefit analysis of solar power generation in microgrids using thermal storage and energy storage systems
.png){kind=icon}
PRE
AI
W
T
Z
DOI：10.1016/j.icheatmasstransfer.2026.112080.png)
.png){kind=icon}
Original request for help.png){kind=icon}
Share.png){kind=icon}
Save
Abstract
En 中文
This study investigates electric power management and the associated economic benefits of solar-powered microgrids equipped with a hybrid storage architecture comprising thermal energy storage (TES) and capacitor-based energy storage systems (CBESS). An advanced energy-management framework is developed by integrating model predictive control with real-time data analysis to coordinate the charging and discharging operations of both storage technologies under variable photovoltaic generation and load-demand conditions. The TES absorbs surplus solar energy during periods of high irradiance and releases it when photovoltaic output declines, while the CBESS provides a rapid response to short-term power fluctuations and supports voltage and frequency stability. The proposed system is evaluated through a 24-h simulation of a standalone microgrid with 100 kW of installed photovoltaic capacity under different solar-irradiance and load-demand scenarios. The results show that the hybrid TES–CBESS configuration reduces peak net-power exchange, improves energy self-sufficiency, enhances DC and AC bus stability, and decreases renewable-energy curtailment by more than 15%. The coordinated control strategy also increases overall operational efficiency by approximately 10% compared with conventional storage operation. From an economic perspective, reduced energy losses, lower dependence on external electricity, improved utilization of solar generation, and more efficient storage operation contribute to long-term cost savings and improved system viability. These findings demonstrate that coordinated TES and CBESS operation provides an effective and economically attractive solution for reliable solar microgrid management, particularly in standalone, remote, and off-grid applications.
Keywords:
Solar power generation
Microgrid
Thermal energy storage
Capacitor-based energy storage
Model predictive control
Power management
Economic benefit analysis
Journal
IF:
6.4
Papers:
1.0W
Citations:
2.5W
Organization
Cited Papers