Power System Stability Enhancement Using a Novel Hybrid Algorithm Based on the Water Cycle Moth-Flame Optimization

Poor control of the power grid can lead to a total system collapse, causing significant economic losses and possible damage security social peace. Therefore, improving stability, particularly transient has become one major research topics. This paper proposes developed modeling approach that provides optimal stabilizer parameters devices, aiming at electrical network stability by minimizing angular speed deviation in presence severe disturbance event using novel hybrid algorithm called Water Cycle-Moth Flame Optimization (WCMFO). The main advantages proposed method are response its efficient exploration exploitation ability attain best solution quality. is achieved imposing thermodynamic incident (an abrupt change mechanical torque) on well-known test model (SMIB), Single Machine Infinite Bus. To effectiveness method, Power System Stabilizer (PSS), Proportional-Integral-Derivative (PID-based PSS), Fractional Order-PID (FOPID-based PSS) implemented ensure system’s return stable state this fault. experimental outcomes have proven superiority, efficiency (WCMFO) terms damping oscillations reducing overshot, with an improvement 44% over Cycle Algorithm (WCA), Moth-Flame (MFO), Artificial Ecosystem (AEO). It envisaged could be very useful design practical high-performance stabilizer.