Abstract
Increasing demand for power generation, slow lessening of fossil fuel resources, and carbon footprint enhancement because of their continuous maltreatment have increased the demand for different energy sources for energy generation. Wind energy systems generate power with a reduction in environmental pollution as well as it improves the reliability and stability of the power system. For long-term planning and future capacity expansion and to ensure that the installed generation capacity is sufficient to meet the load demand, the evaluation of generation system reliability indices is a key factor. Hence, this paper proposed the innovative four-parameter-based progressive alpha model method (FPBPAMM) based on generalized functions analysis for improving the power system reliability with the insertion of wind energy generation. Therefore, the effect of the penetration of wind energy generation on the reliability of the power system is examined. Moreover, power system reliability enhancement using the wind energy system is calculated. Full risk analysis and case study have been performed to explain the effectiveness of the proposed technique and to provide a good understanding of the power system reliability impact consequential for the wind power system merging into the main grid.