Enhancing Power System Frequency Stability with Gray Wolf Optimization in Renewable Energy Integration

The stability of electrical power systems is essential for the secure and reliable operation of the grid. This paper uses the Gray Wolf Optimization (GWO) technique to enhance power system frequency stability. Power system stability can be broadly divided into three categories: transient stability, which describes the system's capacity to stabilize after significant disruptions, and steady-state stability, which entails keeping the frequency and voltage constant throughout regular operations. Because of the inherent fluctuation and unpredictability of renewable energy sources like solar and wind, maintaining power system stability becomes more difficult as their integration increases. To address these issues, operators frequently employ automatic generating control techniques, load shedding, and conventional protective relays. However, this study explores the application of the GWO technique to enhance frequency stability. By altering control settings to reduce frequency deviations and increase system resilience to disruptions, the GWO algorithm maximizes system performance. Simulation findings contrasting GWO with traditional control techniques are presented in the research, highlighting how well it works to increase system stability, lower frequency fluctuations, and improve grid reliability overall. These conclusions are essential for the changing energy situation, particularly as the share of renewable energy increases.