Optimization of SVC Placement and Capacity in the Electric Power System Transmission Networks using Multi-Objective Improved Sine Cosine Algorithm
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Current technological developments are in line with the increasing consumption of electrical energy. There is a value of power losses of the electricity transmission process caused by an increase in the value of power losses, to overcome this, SVC (Static VAR Compensator) of the Flexible AC Transmission System (FACTS) can be used. From previous studies, the optimization of SVC placement in the transmission network has not been carried out to get better power losses. This research uses the Improved-Sine Cosine Algorithm (ISCA) that has a different function of r1 compared to the ordinary SCA, in which the use of the ISCA method is able to overcome the weaknesses of the SCA method. The determination of location and capacity can use more than one objective function. From the result, the optimization of SVC placement and capacity is able to reduce the value of power losses by up to 85%.
M. A. O. P. S. A. Purwoharjono, "Optimal Placement of SVC for Losses Reduction and Voltage Profile Improvement in Electrical Power System using Improved Gravitational Search Algorithm," International Review of Electrical Engineering, vol. 8, pp. 329-339, 2013.
D. S. M. M. S. R. V. A. Preethi, "Application of Genetic Algorithm to Power System Voltage Stability Enhancement Using Facts Devices," IEEE International Conference on Recent Advancements in Electrical, Electronics and Control Engineering, pp. 333-338, 2011.
L. V. Kandioh, Optimasi Kapasitas Static VAR Compensator Pada Sistem Kelistrikan Jawa-Bali 500 kV, Jakarta: Universitas Pertamina, 2020.
N. A. D. E. A. H. Salih, "Choosing the Best Place of Static Var Compensator in IEEE 14 Bus System to Improve Voltage using Neplan Software," in 19th international conference on Sciences and Techniques of Automatic Control & Computer Engineering (STA), Sousse, 2019.
L. S. G. A. Shishir Dixit, "Optimal Placement of SVC using NSGA-II," International Journal of Grid and Distributed Computing, vol. 9, pp. 347-368, 2016.
S. D. K.S.Rajesh, "Load frequency control of autonomous power system using adaptive fuzzy based PID controller optimized on improved sine cosine algorithm," Journal of Ambient Intelligence and Humanized Computing, 2018.
H. Saadat, Power System Analysis, New York: McGraw-Hill, 1999.
H. S. a. D. S. Muhammad Abdillah, "Improvement of Voltage Profile for Large Scale Power System Using Soft Computing Approach," TELKOMNIKA Telecommunication, Computing, Electronics and Control, vol. 18, 2020.
F. S. a. M. I. M. A. K. Alhejji, "Optimal Location and Size of SVC Devices in Interconnected Electrical Power System Using Quadratic Adaptive Bacterial Foraging Algorithm," IEEE, pp. 817-821, 2016.
L. Y. M. Y. Ding Lijie, "Comparison of High Capacity SVC and STATCOM in Real Power Grid," 2010 International Conference on Intelligent Computation Technology and Automation
C. A.-C. Esther Barrios-Martinez, "Technical comparison of FACTS controllers in parallel connection," Journal of Applied Research and Technology, 2017.
B. P. S. I. S. S. N. Haqueqy, "Uji Komputasi Algoritme Varian Metode Newton Pada Permasalahan Optimasi Nonlinear Tanpa Kendala," Jurnal Matematika dan Aplikasinya, pp. 63- 76, 2016.
K. D. S. M. J. H. K. Shubham Gupta, "A Modified Sine Cosine Algorithm with Novel Transition Parameter and Mutation Operator for Global Optimization," 2020.
H. S. H. S. S. Anwar, "Optimasi Penempatan SVC untuk Memperbaiki Profil Tegangan dengan Menggunakan Algoritma Genetika," Jurnal Elektro ELTEK, vol. 3, pp. 203- 208, 2012.
O. P. a. N. K. A. H. P. Prayitno, "Studi Perbaikan Stabilitas Tegangan," JURNAL TEKNIK ITS, vol. 5, pp. 244-250, 2016.
Copyright (c) 2023 Muhammad Abdillah, Ferbyansyah Gilang Maulana, Teguh Aryo Nugroho
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