Power System Stability Improvement by Designing the Optimal PSS Using Multi-Verse Optimization Technique

Power system stability is becoming a significant concern due to low frequency oscillations (LFO) in electrical power networks. These oscillations are related to the parameters of the power networks which determine the system's equilibrium point, and as a result system stability and performance are significantly changed. With the appropriate parameter settings, the power system stabilizer (PSS) effectively reduces these oscillations. In this research, a completely unique nature algorithm called Multi-Verse Optimization (MVO) technique is suggested to optimize the PSS parameters for single machine infinite bus (SMIB) system, and it tunes the PI and PID-based controllers to control the LFOs by improving damping. The performance of the suggested MVO-based PSS is evaluated by comparing the results with the fixed gain traditional PSS. Besides, the performance of the MVO employed PI and PID controller-based PSS are compared based on the eigenvalues and damping ratio of the SMIB network. Furthermore, to show the robustness of the suggested MVO-based PSS, a comparative study is done between MVO-tuned PSS and Backtracking Search Algorithm (BSA)-tuned PSS. Results show that the MVO-tuned PSS performs better than the traditional PSS and BSA-tuned PSS in terms of stability, eigenvalue, and damping ratio analysis.