Assessing the Impact of CAES and BESS on PV Farms Based on EMS under Uncertain Conditions

This article delves into the management of an Energy Storage System (ESS), comprising batteries and compressed air, connected to a solar array in a microgrid. The system utilizes a converter to control ESS arging and discharging operations based on demand. ch The focus is on addressing the challenges associated with.day energy management in a microgrid-one The study exploresthe optimization to minimize the overall variable loudy days. The results electricity price, particularly on c underscore the efficacy of the optimization management system, with the combination of compressed air energy storage (CAES) and Energy Management System (EMS) exhibiting the best performance. This combination saving percentage of 27.676%-ostachieved a noteworthy c on cloudy days. In contrast, the battery energy storage system (BESS) with Energy management system (EMS) saving percentage of -achieved a comparatively lower cost Additionally, the Cumulative Grid Usage.%8.1164 h) was found to be higher -hours (KW-lowatt(CGU) in ki in the BESS system compared to the CAES system when.optimized with EMS Various parameters such as grid voltage, ESS state of charge, price graphs, and output variables like PV power, grid, ESS, and loads are oughly analyzed for each scenario. The study utilizes thor the MATLAB program to simulate this case study, providing a comprehensive understanding of the.dynamics of microgrid energy management