Bat Intelligence For Tunning Power System Stabilizer At Barru Power Plant

Muhammad Ruswandi Djalal (Department of Energy Generation EngineeringState Polytechnic of Ujung Pandang)
Andareas Pangkung (Department of Energy Generation EngineeringState Polytechnic of Ujung Pandang)
Sonong Sonong (Department of Conversion Energy Engineering State Polytechnic of Ujung Pandang)
Apollo Apollo (Department of Conversion Energy EngineeringState Polytechnic of Ujung Pandang)

JEEE-U (Journal of Electrical and Electronic Engineering-UMSIDA)
Vol 2 No 1 (2018): April

Changes in load on the power system suddenly, can cause dynamic disruption. This disturbance can not be responded well by the generator, so it can affect the system dynamic stability, such as the occurrence of oscillation speed and rotor angle. Conventional control of excitation and governor, also unable to repair the oscillations, so that additional controllers such as Power System Stabilizer (PSS) are required. In the use of PSS, there are several problems that often arise, namely the correct tuning of PSS parameters. In this research, we proposed a method of smart computing based on bat algorithm, for tuning PSS parameters. From the analysis results can be concluded, the performance performance of generator barru increased with the installation of Power System Stabilizer with optimal PSS parameter, with parameters respectively Kpss = 44.0828, T1 = 0.0284, T2 = 0.0146, T3 = 0.7818, T4 = 1.2816.