Desain Optimal PID-SSSC Menggunakan Particle Swarm Optimization pada Single Machine Infinite Bus

Nasrun Kadir(1), Muhammad Ruswandi Djalal(2*)


(1) Department of Mechanical Engineering
(2) Scopus ID: 57053480800, Politeknik Negeri Ujung Pandang
(*) Corresponding Author

Abstract


Variasi beban menyebabkan osilasi pada generator, mempengaruhi frekuensi dan sudut rotor. Untuk meningkatkan kestabilan generator, terutama pada saat terjadi perubahan beban, diperlukan peralatan kendali tambahan. Static Synchronous Series Compensator (SSSC) adalah perangkat elektronika daya flexible ac transmission systems (FACTS) devices yang dapat digunakan untuk meningkatkan stabilitas dan pengendalian sistem tenaga. Kontrol Proportional Integral Derivative (PID) adalah metode kontrol konvensional yang tangguh dan sederhana yang saat ini masih banyak digunakan dalam kontrol proses. Untuk mendapatkan kinerja PID-SSSC yang optimal, diperlukan koordinasi yang tepat. Pada penelitian ini diusulkan suatu metode optimasi berbasis kecerdasan buatan yang dikenal dengan metode Particle Swarm Optimization (PSO). Efektifitas PID-SSSC pada penelitian ini diuji pada sistem Single Machine Infinite Bus (SMIB). Hasil analisis menunjukkan implementasi PID-SSSC berbasis PSO memberikan hasil yang optimal untuk menunjang kinerja SMIB khususnya saat terjadi perubahan beban. Hasil optimasi menunjukkan fitness function 0.01117. Proses komputasi PSO dalam melakukan optimasi parameter PID-SSSC konvergen pada iterasi ke 24. Kontribusi PID-SSSC mampu memberikan kestabilan yang optimal pada sistem SMIB sehingga osilasi overshoot yang terjadi dapat diredam saat terjadi variasi perubahan beban.

Keywords


FACTS; PID-SSSC; PSO; SMIB; Overshoot

Full Text:

PDF

References


H. Abubakr, J. C. Vasquez, T. H. Mohamed, and J. M. Guerrero, "The concept of direct adaptive control for improving voltage and frequency regulation loops in several power system applications," International Journal of Electrical Power & Energy Systems, vol. 140, p. 108068, 2022.

M. Mokhtar, M. I. Marei, M. A. Sameh, and M. A. Attia, "An adaptive load frequency control for power systems with renewable energy sources," Energies, vol. 15, no. 2, p. 573, 2022.

M. M. Gulzar, M. Iqbal, S. Shahzad, H. A. Muqeet, M. Shahzad, and M. M. Hussain, "Load frequency control (LFC) strategies in renewable energy-based hybrid power systems: A review," Energies, vol. 15, no. 10, p. 3488, 2022.

H. Abubakr et al., "Adaptive LFC incorporating modified virtual rotor to regulate frequency and tie-line power flow in multi-area microgrids," IEEE Access, vol. 10, pp. 33248-33268, 2022.

P. R. Sahu, R. K. Lenka, R. K. Khadanga, P. K. Hota, S. Panda, and T. S. Ustun, "Power system stability improvement of FACTS controller and PSS design: a time-delay approach," Sustainability, vol. 14, no. 21, p. 14649, 2022.

G. Yu, T. Lin, J. Zhang, Y. Tian, and X. Yang, "Coordination of PSS and FACTS damping controllers to improve small signal stability of large-scale power systems," CSEE journal of power and energy systems, vol. 5, no. 4, pp. 507-514, 2019.

M. Ranjan and R. Shankar, "A literature survey on load frequency control considering renewable energy integration in power system: Recent trends and future prospects," Journal of Energy Storage, vol. 45, p. 103717, 2022.

M. G. Jolfaei, A. M. Sharaf, S. M. Shariatmadar, and M. B. Poudeh, "A hybrid PSS–SSSC GA-stabilization scheme for damping power system small signal oscillations," International Journal of Electrical Power & Energy Systems, vol. 75, pp. 337-344, 2016.

H. A. A. Khazim and Y. A. A. Turki, "PSS and SVC Unified Power Oscillation Damping control for a SMIB model," International Journal of Applied Engineering Research, vol. 13, no. 7, pp. 5087-5092, 2018.

N. A. M. Kamari, I. Musirin, and A. A. Ibrahim, "Swarm intelligence approach for angle stability improvement of PSS and SVC-based SMIB," Journal of Electrical Engineering Technology, vol. 15, pp. 1001-1014, 2020.

K. Kumar, S. Parida, and P. K. Biswas, "Comparative analysis of pss and ipfc based damping controller for smib system," in 2019 8th International Conference on Power Systems (ICPS), 2019: IEEE, pp. 1-6.

Y. Kumar, R. N. Mishra, and A. Anwar, "Enhancement of Small Signal Stability of SMIB System using PSS and TCSC," in 2020 International Conference on Power Electronics & IoT Applications in Renewable Energy and its Control (PARC), 28-29 Feb. 2020 2020, pp. 102-106, doi: 10.1109/PARC49193.2020.236566.

T. M. Shami, A. A. El-Saleh, M. Alswaitti, Q. Al-Tashi, M. A. Summakieh, and S. Mirjalili, "Particle swarm optimization: A comprehensive survey," Ieee Access, vol. 10, pp. 10031-10061, 2022.

A. G. Gad, "Particle swarm optimization algorithm and its applications: a systematic review," Archives of computational methods in engineering, vol. 29, no. 5, pp. 2531-2561, 2022.

A. Yunus, M. Djalal, and Y. Akil, "SMIB stability enhancement using capacitive energy storage and PID based on ant colony optimization," in IOP Conference Series: Earth and Environmental Science, 2020, vol. 575, no. 1: IOP Publishing, p. 012241.

I. Robandi, M. R. Djalal, and M. A. Prakasa, "Performance Improvement of Sulselrabar System Using Single-Band Power System Stabilizer Based on Mayfly Algorithm Under Different Loading Condition," International Journal of Intelligent Engineering & Systems, vol. 17, no. 1, pp. 370-382, 2024.

M. R. Djalal and I. Robandi, "Dual Input Power System Stabilizer in Sulselrabar System Based on Mayfly Optimization Algorithm," in 2022 2nd International Seminar on Machine Learning, Optimization, and Data Science (ISMODE), 2022: IEEE, pp. 76-81.

I. Robandi, "Modern Power System Control," Penerbit ANDI, Yogyakarta, 2009.

K. R. Padiyar, Power System Dynamics. John Wiley & sons Ltd, Interlaine Publishing Ltd, 1996.

H. D. Mohammed, "Power System Transient Stability Enhancement by Tuning of SSSC and PSS Parameters Using PSO Technique," Journal of University of Babylon for Engineering Sciences, vol. 26, no. 6, pp. 81-94, 2018.

R. K. Khadanga and J. K. Satapathy, "Time delay approach for PSS and SSSC based coordinated controller design using hybrid PSO–GSA algorithm," International Journal of Electrical Power & Energy Systems, vol. 71, pp. 262-273, 2015.

N. A. Firdausanti, "On the comparison of crazy particle swarm optimization and advanced binary ant colony optimization for feature selection on high-dimensional data," Procedia Computer Science, vol. 161, pp. 638-646, 2019.

M. Siswanto, M. Ali, M. A. Haikal, S. Wahyudi, S. Soedarsono, and M. R. Djalal, "Stability of Water Flow in Tanks Using Particle Swarm Optimization (PSO) Method," in E3S Web of Conferences, 2024, vol. 473: EDP Sciences, p. 04003.


Article Metrics

Abstract view : 101 times
PDF - 16 times

DOI: https://doi.org/10.26714/me.v17i2.15284

Refbacks

  • There are currently no refbacks.


Bookmark and Share


Copyright (c) 2025 MEDIA ELEKTRIKA



Editorial Office of Media Elektrika

Universitas Muhammadiyah Semarang FT-FMIPA Building, 7nd Floor. 
Department of Electrical Engineering
Jl. Kedungmundu Raya No. 18, Kota Semarang, Prov. Jawa Tengah, Indonesia 50273

Phone: 085327178613
Email: mediaelektrika@unimus.ac.id

Creative Commons License
This work is licensed under a Creative Commons Attribution-ShareAlike 4.0 International License.