Optimization of Power System Stabilizers Using Proportional-Integral-Derivative Controller-Based Antlion Algorithm: Experimental Validation via Electronics Environment

A robust, optimized power system stabilizer (PSS) is crucial for oscillation damping, and thus improving electrical network stability. Additionally, real-time testing methods are required to significantly reduce the likelihood of software failure in a real-world setting at user location. This paper presents an Antlion-based proportional integral derivative (PID) PSS improve stability during constraints. The Antlion optimization (ALO) developed with methodology, using hardware-in-the-loop (HIL) that can communicate multiple digital control schemes signals. dynamic model runs on dSPACE DS1104, proposed field programmable gate arrays (FPGA) (NI SbRIO-9636 board). performance was compared modified particle swarm (MPSO)-based PID-PSS, through different indices. test cases include other step load perturbations several short circuit faults various locations. Twelve have been applied, constraints, prove robustness PSS. These 5 10% changes 3 operating conditions single, double, triple lines ground circuits conditions, locations transmission lines. analysis demonstrates effectiveness ALO MPSO regaining system’s under three loading conditions. square error (ISE), absolute (IAE), time (ITSE), (ITAE) used as indices stage. simulation results demonstrate PSS, based algorithm. It provides robust performance, traditional Regarding applied indices, algorithm, obtains significant improvement percentages ISE, IAE, ITSE, ITAE 30.919%, 23.295%, 51.073%, 53.624%, respectively.