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

Muhammad Ruswandi Djalal(1*), Muhammad Yunus Yunus(2), Herman Nawir(3), Andi Imran(4),

(1) State Polytechnic of Ujung Pandang
(2) State Polytechnic of Ujung Pandang
(3) State Polytechnic of Ujung Pandang
(4) Sepuluh Nopember Institute of Technology
(*) Corresponding Author


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


Power System Stabilizer, Bat Algorithm, Speed, Overshoot, Settling Time

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M. R. Djalal, D. Ajiatmo, A. Imran, and I. Robandi, "Desain Optimal Kontroler PID Motor DC Menggunakan Cuckoo Search Algorithm," SENTIA 2015, vol. 7, 2015.

M. R. Djalal, M. A. Haikal, T. M. P. N. U. Pandang, and T. E. I. P. Aceh, "Penyelesaian Aliran Daya 37 Bus Dengan Metode Newton Raphson (Studi Kasus Sistem Interkoneksi 150 kV Sulawesi Selatan)," Jurnal Teknik Mesin SINERGI, vol. 12, pp. 35-49, 2014.

M. R. Djalal, H. Nawir, H. Setiadi, and A. Imran, "An Approach Transient Stability Analysis Using Equivalent Impedance Modified in 150 kV South of Sulawesi System," Journal of Electrical and Electronic Engineering-UMSIDA, vol. 1, pp. 1-7, 2017.

A. Ameli, M. Farrokhifard, A. Ahmadifar, A. Safari, and H. A. Shayanfar, "Optimal tuning of Power System Stabilizers in a multi-machine system using firefly algorithm," in 2013 12th International Conference on Environment and Electrical Engineering, 2013, pp. 461-466.

H. Shayeghi, A. Safari, and H. Shayanfar, "Multimachine power system stabilizers design using PSO algorithm."

K. Hongesombut, Y. Mitani, and K. Tsuji, "Power system stabilizer tuning in multimachine power system based on a minimum phase control loop method and genetic algorithm."

M. Jalali, R. Pouaghababa, and M. Nouhi, "Power System Stabilizers Optimization Based on Neural Network using linear Optimal Control."

R. Syahputra and I. Soesanti, "Power System Stabilizer model based on Fuzzy-PSO for improving power system stability," in Advanced Mechatronics, Intelligent Manufacture, and Industrial Automation (ICAMIMIA), 2015 International Conference on, 2015, pp. 121-126.

M. M. Linda and N. K. Nair, "Optimal design of multi-machine power system stabilizer using robust ant colony optimization technique," Transactions of the Institute of Measurement and Control, vol. 34, pp. 829-840, 2012.

B. S. Theja, A. Raviteja, A. Rajasekhar, and A. Abraham, "Coordinated design of power system stabilizer using thyristor controlled series compensator controller: An artificial bee colony approach," in Communication Systems and Network Technologies (CSNT), 2012 International Conference on, 2012, pp. 606-611.

D. Chitara, A. Swarnkar, N. Gupta, K. Niazi, and R. Bansal, "Optimal Tuning of Multimachine Power System Stabilizer using Cuckoo Search Algorithm," IFAC-PapersOnLine, vol. 48, pp. 143-148, 2015.

M. R. Djalal, A. Imran, and I. Robandi, "Optimal placement and tuning power system stabilizer using Participation Factor and Imperialist Competitive Algorithm in 150 kV South of Sulawesi system," in Intelligent Technology and Its Applications (ISITIA), 2015 International Seminar on, 2015, pp. 147-152.


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