scholarly journals Bat Intelligence For Tunning Power System Stabilizer At Barru Power Plant

2018 ◽  
Vol 2 (1) ◽  
pp. 16-20
Author(s):  
Muhammad Ruswandi Djalal ◽  
Andareas Pangkung ◽  
Sonong Sonong ◽  
Apollo Apollo
Keyword(s):  
Power Plant ◽  
Power System ◽  
Dynamic Stability ◽  
Bat Algorithm ◽  
System Dynamic ◽  
Power System Stabilizer ◽  
Rotor Angle ◽  
System Stabilizer ◽  
Smart Computing

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.

scholarly journals BAT ALGORITHM IMPLEMENTATION TO OPTIMALLY DESIGN THE STABILIZER POWER SYSTEM ON THE SUPPA GENERATOR

SINERGI ◽  
2019 ◽  
Vol 23 (3) ◽  
pp. 233
Author(s):  
Muhammad Ruswandi Djalal ◽  
Herman HR
Keyword(s):  
Steady State ◽  
Power System ◽  
Bat Algorithm ◽  
Absolute Error ◽  
Power System Stabilizer ◽  
Control Devices ◽  
Rotor Angle ◽  
System Stabilizer ◽  
Algorithm Implementation ◽  
Uncontrolled System

One of the control devices that can be used to strengthen the performance of PLTU Suppa is the installation of Power System Stabilizer. The problem of using Power System Stabilizer (PSS) in generator excitation is how to determine the optimal PSS parameter. To overcome these problems, the authors use a method of intelligent bats to design PSS. Bat's algorithm will work based on the specified destination function, which is an Integral Time Absolute Error (ITAE). In this research, we will see the deviation response of velocity and the rotor angle of the suppa generator in case of interference. The results of the analysis show that the uncontrolled system produces oscillation overshoot speed of -0.02437 pu to 0.006517 pu, conventional PSS about -0.02186 pu to 0.004623 pu and with PSS Bat overshoot of -0.01507 pu up to 0.0006223 pu. A loop for rotor angle response shows good results with reduced oscillation and rapidly leading to steady-state conditions. From the analysis results can be concluded, the performance of suppa generator is increased with the installation of Power System Stabilizer with optimal PSS parameters, with parameters respectively Kpss = 32.2077, T1 = 0.0173, T2 = 0.0401, T3 = 0.9174, T4 = 1.2575.

scholarly journals Optimal Design of Power System Stabilizer In Bakaru Power Plant Using Bat Algorithm

2017 ◽  
Vol 1 (2) ◽  
pp. 7
Author(s):  
Muhammad Ruswandi Djalal ◽  
Muhammad Yusuf Yunus ◽  
Herman Nawir ◽  
Andi Imran
Keyword(s):  
Power System ◽  
Bat Algorithm ◽  
Absolute Error ◽  
Food Sources ◽  
Power System Stabilizer ◽  
Steady State Condition ◽  
Oscillation Control ◽  
Source Correlation ◽  
Rotor Angle ◽  
System Stabilizer

Abstract - The problem of using Power System Stabilizer (PSS) in generator excitation is how to determine optimal PSS parameter. To overcome these problems, the authors use a method of intelligent bats based algorithm to design PSS. Bat Algorithm is an algorithm that works based on bat behavior in search of food source. Correlation with this research is, food sources sought by bats represent as PSS parameters to be optimized. Bat's algorithm will work based on a specified destination function, namely Integral Time Absolute Error (ITAE). In this research will be seen the deviation of velocity and rotor angle of each generator, in case of disturbance in bakaru generator. The analysis results show that the uncontrolled system produces a large overshoot oscillation, and after the addition of PSS oscillation control equipment can be muted. So that the overshoot and settling time of each generator can be reduced and the generator can quickly go to steady state condition.

scholarly journals Perbaikan Stabilitas Dinamik Sistem Tenaga Terintegrasi Pembangkit Listrik Tenaga Mikro Hidro dan Diesel Menggunakan PSS Berbasis ANFIS

2020 ◽  
Vol 6 (2) ◽  
pp. 249
Author(s):  
I Made Ginarsa ◽  
I Made Ari Nrartha ◽  
Sultan Sultan ◽  
Agung Budi Muljono ◽  
Sabar Nababan
Keyword(s):  
Power Plant ◽  
Dynamic Stability ◽  
Model Simulation ◽  
Setting Time ◽  
Power System Stabilizer ◽  
Anfis Model ◽  
Hydro Power ◽  
Power Company ◽  
Angle Deviation ◽  
System Stabilizer

Power generating units should be built closed to load centers according to electric power company regulation. These units are generally small in capacity, so that makes power transfer among inter- and outer-areas is easier to be done. This study aims to improve dynamic stability of a Micro Hydro Power Plant (MHPP) on perspective of 5% load increased in Diesel Power Plant (DPP). The DPP is equipped by an ANFIS-based Power System Stabilizer (PSS) in this scheme. Two inputs with Gauss2mf membership function (MF) type and 5-number of the each MF are used to implement the ANFIS model. Simulation results show that overshoot of MHPP power angle deviation is reduced to the values of 0.023, 0.0138 and 0.0132°, for the DPP without PSS, conventional and ANFIS PSS, respectively.  Also, reduction in setting time is achieved at times >6, 4.051 and 3.553 s. It is shown that the ANFIS PSS is more effective to enhance the dynamic stability compared to other PSS

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