Stochastic Approach to Enhance Frequency Stability of Micro Grids

The inherent attributes of Renewable Energy Resources (RES), notably intermittency and low inertia, adversely impact the stability of connected power systems. Accurate prediction of RES power output and load demand is vital for enhancing overall grid stability. However, predictive methods have not achieved absolute accuracy. Through stochastic simulation based on forecasting, operators can identify extreme scenarios. Then, they will be possible to formulate solutions to ensure the safety and reliability of grid operations in these scenarios. This paper introduces stochastic simulation techniques, demonstrating their application to identify severe scenarios based on frequency stability criterion for a micro grid. Additionally, the study also proposes solutions to enhance the grid's frequency stability of the grid after finding out extreme conditions.