Next Generation Heffron-Phillips Model for Damping Oscillations Based on Snake Optimization Algorithm

A reliable, safe, and secure operation of the power system is essential for all-round development. Low Frequency Oscillations (LFO) hamper the smooth operation of the system. In this manuscript, a novel Heffron-Phillips model based on a higher-order Synchronous Machine (SM) model 1.1 is developed for damping oscillations. This Next Generation Heffron-Phillips Model (NGHPM) has 10 K-constants governing the system dynamics instead of 6 K-constants. The different models are the system with no controller, with Proportional Integral Derivative(PID), with Power System Stabilizer (PSS), and with Coordinated PSS and Thyristor Controller Series Capacitor (CPT). The parameters are tuned with a novel Snake Optimization Algorithm (SOA), which has been tested on Congress on Evolutionary Computation (CEC-2017) benchmark functions. The eigenvalues are shifted to the left half of the s-plane with the PID, PSS, and CPT. The simulation is performed with MATLAB R2023a. The highest damping ratio (0.9860) is obtained with the CPT model. The oscillations are settled in the least time with this model. This model is capable of meeting the challenges of grid integration with renewables. The NGHPM with CPT contributes to meeting the seventh goal of the 17 Sustainable Development Goals (SDGs), i.e., to provide affordable and clean energy to all. A robust, safe, and secure power system is developed with NGHPM based on SOA.