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 Application of Smart Bats Algorithm for Optimal Design of Power Stabilizer System at Sengkang Power Plant

2017 ◽  
Vol 1 (2) ◽  
pp. 47
Author(s):  
Muhammad Ruswandi Djalal ◽  
Muhammad Yunus Yunus ◽  
Herman Nawir ◽  
Andi Imran
Keyword(s):  
Bat Algorithm ◽  
Absolute Error ◽  
Food Sources ◽  
Steady State Condition ◽  
Oscillation Control ◽  
Source Correlation ◽  
Power Stabilizer ◽  
Rotor Angle ◽  
System Stabilizer ◽  
Uncontrolled System

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 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 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 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 Desain Optimal Power System Stabilizer Pada System Kelistrikan Sulselrabar Menggunakan Bat Algorithm

2018 ◽  
Vol 17 (1) ◽  
pp. 148
Author(s):  
Muhammad Ruswandi Djalal ◽  
Faisal Faisal
Keyword(s):  
Steady State ◽  
Power System ◽  
Bat Algorithm ◽  
Absolute Error ◽  
Settling Time ◽  
Power System Stabilizer ◽  
Optimal Power ◽  
Integral Time ◽  
System Stabilizer

Masalah penggunaan Power System Stabilizer (PSS) pada eksitasi generator adalah bagaimana menentukan parameter PSS yang optimal. Untuk mengatasi masalah tersebut, penulis menggunakan metode cerdas berbasis algoritma kelelawar untuk mendesain PSS. Algoritma Kelelawar adalah algoritma yang bekerja berdasarkan perilaku kelelawar dalam mencari sumber makanan. Korelasi dengan penelitian ini adalah, sumber makanan yang dicari oleh kelelawar merepresentasikan sebagai parameter PSS yang akan dioptimasi. Algoritma kelelawar akan bekerja berdasarkan  fungsi tujuan yang sudah ditentukan, yaitu Integral Time Absolute Error (ITAE). Pada penelitian ini akan dilihat respon deviasi kecepatan dan sudut rotor setiap generator, bila terjadi gangguan di bakaru generator. Hasil analisa menunjukkan, sistem tanpa kontrol menghasilkan osilasi overshoot yang besar, dan setelah tambahan peralatan kontrol PSS osilasi tersebut dapat diredam. Sehingga overshoot dan settling time masing - masing generator dapat dikurangi dan generator dapat dengan cepat menuju ke kondisi steady state.

scholarly journals PSS Tuning on Power Generator System using Flower Pollination Algorithm

2018 ◽  
Vol 6 (3) ◽  
pp. 93-99
Author(s):  
Muhammad Ruswandi Djalal ◽  
Sonong Sonong
Keyword(s):  
Bat Algorithm ◽  
Flower Pollination Algorithm ◽  
Generator System ◽  
Steady State Condition ◽  
Tuning Method ◽  
Flower Pollination ◽  
Velocity Deviation ◽  
Rotor Angle ◽  
System Stabilizer

This research proposed a tuning method of power system stabilizer (PSS) using an intelligent method based on flower pollination algorithm (FPA) on Pajalesang generator located in Soppeng district. The observed result is the deviation response of velocity and rotor angle in case of disturbance. The case study used as the disturbance to this generator system is a load addition of 0.05 pu. The results show that velocity deviation response without PSS is 0.01152 pu to -0.0248 pu, using PSS trial is 0.007014 pu to -0.02174 pu, using PSS bat algorithm is 0.003972 pu to -0.01865 pu, and using the proposed method of PSS flower algorithm is 0.002149 pu to -0.01678 pu. The rotor angle response shows better results with reduced oscillation and rapidly leading to the steady-state condition. The performance of Pajalesang diesel power plant increased with the installation of FPA PSS, with parameters respectively Kpss=8.5956, T1= 0.0247, T2=0.2484, T3=0.4776, and T4=0.8827.

Application of Bat Algorithm to Optimize Scaling Factors of Fuzzy Logic-Based Power System Stabilizer for Multimachine Power System

2016 ◽  
Vol 17 (1) ◽  
pp. 41-53 ◽  
Author(s):  
D. K. Sambariya ◽  
R. Prasad
Keyword(s):  
Fuzzy Logic ◽  
Power System ◽  
Fuzzy Controller ◽  
Nonlinear Models ◽  
Bat Algorithm ◽  
Test System ◽  
Power System Stabilizer ◽  
Scaling Factors ◽  
Test Power ◽  
System Stabilizer

AbstractThis article presents the design of optimized fuzzy logic-based power system stabilizer (FPSS) to enhance small signal stability using bat algorithm (BA). The proposed optimization of scaling factors of FPSS is considered with an objective function based on square error minimization to guarantee the stability of nonlinear models of test system using BA. The BA-optimized FPSS (BAFPSS) controller is applied to the standard IEEE ten-machine thirty-nine-bus test power system model in the decentralized manner, and the performance is compared with the robust fuzzy controller. The robustness is tested by considering four different models of the test power system with different fault locations to establish the superiority of the proposed BAFPSS over the FPSS.

scholarly journals Design of Optimal Proportional Integral Derivative Based Power System Stabilizer Using Bat Algorithm

2016 ◽  
Vol 2016 ◽  
pp. 1-22 ◽  
Author(s):  
Dhanesh K. Sambariya ◽  
Rajendra Prasad
Keyword(s):  
Power System ◽  
New England ◽  
Bat Algorithm ◽  
Operating Conditions ◽  
Superior Performance ◽  
Power System Stabilizer ◽  
Small Signal Stability ◽  
Wide Range ◽  
Single Machine Infinite Bus ◽  
System Stabilizer

The design of a proportional, derivative, and integral (PID) based power system stabilizer (PSS) is carried out using the bat algorithm (BA). The design of proposed PID controller is considered with an objective function based on square error minimization to enhance the small signal stability of nonlinear power system for a wide range of operating conditions. Three benchmark power system models as single-machine infinite-bus (SMIB) power system, two-area four-machine ten-bus power system, and IEEE New England ten-machine thirty-nine-bus power system are considered to examine the effectiveness of the designed controller. The BA optimized PID based PSS (BA-PID-PSS) controller is applied to these benchmark systems, and the performance is compared with controllers reported in literature. The robustness is tested by considering eight plant conditions of each system, representing the wide range of operating conditions. It includes unlike loading conditions and system configurations to establish the superior performance with BA-PID-PSS over-the-counter controllers.

scholarly journals Adaptive Fuzzy Type-2 Synergetic Control Based on Bat Optimization for Multi-Machine Power System Stabilizers

2019 ◽  
Vol 9 (5) ◽  
pp. 4673-4678 ◽  
Author(s):  
E. Nechadi
Keyword(s):  
Power System ◽  
Bat Algorithm ◽  
System Stability ◽  
Power System Stabilizer ◽  
Initial State ◽  
Adaptive Fuzzy ◽  
Synergetic Control ◽  
Improved Performance ◽  
System Stabilizer

A new, adaptive, fuzzy type-2 fast terminal, synergetic multi-machine power system stabilizer is proposed in this study, based on the Bat algorithm. The time spent to reach the equilibrium point, from any initial state, is guaranteed to be finite. The adaptive fuzzy type-2 design is applied to estimate the unknown functions of a multi-machine power system. The parameters of the fast terminal synergetic control are optimized, using bat metaheuristic method. In order to test the robustness of the proposed stabilizer, three load conditions, of the multi-machine power system are studied. A comparison of the proposed adaptive fuzzy type-2 synergetic power system stabilizer with bat conventional approach is presented, indicating improved performance. The control system stability is assessed by the second theorem of Lyapunov and is proven to be asymptotically stable.

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