Leveraging an Innovative Puma Algorithm for the Optimisation of Energy Management in a Microgrid, Incorporating RES and Energy Storage Devices

Abstract

Hybrid Energy Storage Systems (HEES), which combine two or more energy storage systems, provide promising and feasible technology in the smart grid. Although batteries possess a higher power density, supercapacitors (SCs) are distinguished by their rapid discharge rate. The integration of both devices yields a HESS system capable of tackling the issues linked to the extensive deployment of distributed renewable energy sources (RESs) and improving grid dependability. The objective is to create a power management plan to improve the performance of the HEES. This research presents a robust design methodology for controlling power electronics converters and improving the efficacy of power management in Hybrid Energy Storage Systems (HEES). This resilient design is founded on a Puma optimization (PO) Tuned hybrid controller. The efficacy of this approach is based on transient reaction time and resilience. The findings obtained the superiority of the Puma optimizer (PO) over the enhanced moth-flame optimization algorithm (MFO-SFR), Golden Jackal Optimization (GJO) and Non-dominated Sorting Genetic Algorithm (NSGA-II) in terms of peak overshoot and transient duration.