Dual Input Power System Stabilizer in Sulselrabar System Based on Mayfly Optimization Algorithm

Abstract

To improve the generator’s performance, additional equipment is needed, mainly if oscillations occur outside the excitation control of the generator. PSS will increase the stability limit by providing damping for generator oscillations. PSS damping means that the PSS will produce an electric torque component that is in phase with the change in speed. However, the use of PSS has many errors, especially conventional PSS. The desired value is different from the measured PSS output value. This is due to shaft motion components such as lateral shaft run out or torsional oscillations. In this study, the Dual Input Power System Stabilizer (DIPSS) equipment was used to reduce signal noise on the generator in the Sulselrabar system. With optimal DIPSS parameters, optimal system performance is obtained. An intelligent optimization technique based on the Mayfly optimization Algorithm (MOA) is used to get the correct parameters. MOA is used to find the correct parameters and get the system’s minimum damping. Then the placement of DIPSS is based on the participation factor method of each generator. This study uses a case study of the addition of a load on the Sengkang generator. From the test results, system performance increases with the installation of DIPSS MOA. The increase in system performance can be seen from the speed and angle response of the generator rotor, which produces minimal overshoot oscillations and fast settling time when a disturbance occurs. In addition, the increase in system performance can also be seen from the negative system eigenvalues.