• 1Miss. Renuka Madhushankar Andharkar
• Prof. S. M. Kulkarni

This study centers on the optimization of battery energy storage systems (BESS) by identifying critical factors that influence their efficiency and longevity. The research aims to investigate how enhancing these factors can positively impact the overall efficiency of a power system within a microgrid incorporating wind power plants. To achieve this objective, a permanent magnet synchronous generator (PMSG) is utilized to convert wind energy by linking a three-phase dynamic load to the grid. The primary innovation of this approach lies in the development of an intelligent backup battery system designed to augment the effectiveness of the wind farm by preserving operational integrity, even in the face of severe failures in the power generation component. For the initial exploration, the characteristics of the Battery Energy Storage System (BESS) are fine-tuned through the application of nine distinct evolutionary algorithms, encompassing the genetic algorithm (GA), teaching–learning-based optimization (TLBO), particle swarm optimization (PSO), gravitational search algorithm (GSA), artificial bee colony (ABC), differential evolution (DE), grey wolf optimizer (GWO), moth–flame optimization algorithm (MFO), and sine cosine algorithm (SCA). The outcomes yielded by each of these algorithms are subsequently compared and analyzed.

A micro grid, a permanent magnet synchronous generator (PMSG), a wind turbine, a battery energy storage system (BESS), a reliable management strategy, and (MG)

"Optimizing Battery Energy Storage System Data in the Presence of Wind Power Plants", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.10, Issue 9, page no.e476-e478, September-2023, Available :http://www.jetir.org/papers/JETIR2309455.pdf

"Optimizing Battery Energy Storage System Data in the Presence of Wind Power Plants", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.10, Issue 9, page no. ppe476-e478, September-2023, Available at : http://www.jetir.org/papers/JETIR2309455.pdf