Optimizing renewable energy integration: statistical models for grid stability and economic viability

This article explores advanced energy modeling techniques to optimize renewable energy integration and grid stability. We employ sophisticated mathematical formulations to develop models that predict energy output, grid stability, and economic impacts. By leveraging wind speed Weibull distribution and average power output data of 100 farm wind turbines with 2 MW capacity, we demonstrate the efficacy of these models and their potential to transform energy systems toward sustainability. The analysis demonstrated indicated a profitable mix when renewable energy is incorporated with sensitivity analysis for a net present value (NPV) showing positive under all consideration.