This article addresses power output uncertainty and economic analysis in grids with renewable energy, suggesting solutions.
The global shift to sustainable energy has led to a significant growth in the penetration of renewable energy sources (RES), mainly wind and solar electricity, in electrical grids. Although these resources offer substantial environmental and economic benefits, their incorporation presents challenges stemming from unpredictability, intermittency, and limited controllability. This article addresses the challenges associated with high penetration of renewable energy into the grid, including the management of power output uncertainty using quasi-dynamic simulation tools for both short- and long-term periods, as well as the analysis of profits, losses, and energy of a wind farm utilizing both basic energy analysis and probabilistic analysis in conjunction with Monte Carlo Simulation (MCS). This study is essential to ensure that the grid remains secure against stability challenges arising from fluctuations in power production from renewable energy sources.
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Ndlela et al. (2025) studied this question.
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