Techno-economic evaluation of a smart power management system based on wind turbine hybrid model using Homer tool: a case study

Investigating wind energy resources is the main goal of the current study. Three tiny Wind Turbine Generators (WTGs) are incorporated into four different system models using Homer Pro Tool to simulate and optimise a 4 × 3 system configuration, producing twelve operational scenarios. A review of real-time load data and the use of precise wind resource data from an operating Weather Monitoring Station (WMS) situated in the study area marked the beginning of the procedure. Based on the capacity factor (C_f) of six small wind turbines, three small wind turbines-Excel-10, Montana-3310, and SD6-701 are chosen. The three tiny turbines are incorporated into four hybrid optimum system models that combine battery, grid, and generators to reduce wind intermittency and power outages. The winning system architecture's results are evaluated. Results show that the combination of hybrid wind turbines accounts for approximately 88.4% of utility grid electricity curtailment. To meet the local net demand of 165.44 kWh/day in isolated and grid-connected modes, the cost factors, represented by NPC and LCOE, range from ₹2.1 to ₹3.5 Crore and ₹3.14 to ₹5.78/kWh, respectively, in all four simulated models. Additionally, a thorough sensitivity analysis of every feasible configuration is provided by varying hub height of wind turbine generators to anticipate power output generation and cost parameters.