Enhancing Adaptive Overcurrent Protection in Multi-Loop Distribution Networks with Distributed Generation Using Genetic Algorithms
Keywords:
Optimization, Overcurrent, Multi-loop Distribution, Distributed GenerationAbstract
Electrical energy is something that everyone needs. The increase in the use of electrical energy will increase the transmission and distribution system of electrical energy, so the electrical energy distribution system must be more reliable. Adding Distributed Generation (DG) to the distribution system can improve reliability and power quality issues. To overcome the influence of DG, a new optimization setting is needed to account for the presence of Distributed Generation. This study aims to simulate a protection system with the right relay operation time to minimize the impact of interference and apply the Genetic Algorithm method in the relay coordination setting on a multi-loop distribution network with Distributed Generation. In this study, the development will be carried out using the IEEE 9-Bus multiloop plant distribution system with the application of Distributed Generation using a Genetic Algorithm. The method in this study begins with creating a single-line diagram on ETAP, followed by the placement and determination of forward and reverse relays. Furthermore, the steps include dividing and determining loops I, II, and III for the Isc generation value in each loop. The optimization process using the Genetic Algorithm can be carried out after the Isc value of each loop is obtained. After reaching the maximum iteration value, the TDS and Ipickup values result from optimization. The value is then converted into a time domain. The genetic algorithm results with a maximum iteration value of 1500 show that the protection system coordinates more optimally and efficiently, as reviewed from the cut-off sequence and time delay value in the event of a disturbance. The total time delay value in the Genetic Algorithm calculation is 3.6027 seconds. The minimum total time delay value is the more optimal the protection system coordinates.
References
[1] A. Savitri, Revolusi industri 4.0: mengubah tantangan menjadi peluang di era disrupsi 4.0. Penerbit Genesis, 2019.
[2] F. Fasya, “Analisis Perilaku Hemat Energi Listrik Pada Mahasiswa Fkip Universitas Jember,” Progr. Stud. Pendidik. Fis. Fak. Kegur. dan Ilmu Pendidik. Univ. Jember, pp. 24–25, 2018.
[3] O. Makangiras, “Pemeliharaan Gardu Distribusi,” Politeknik Negeri Manado, 2016.
[4] Suhadi, “Sistem Distribusi Tenaga Listrik -1,” SINARMONAS INDUSTRIES, 2023. [Online]. Available: https://sinarmonas.co.id/blog/detail/sistem-distribusi-tenaga-listrik-1-fungsi-pengelompokan
[5] A. F. Sarabia, “Impact of distributed generation on distribution system,” Aalborg Univ. Denmark, vol. 14, 2011.
[6] N. Nurdiana, “Studi Keandalan Sistem Distribusi 20 kV Gardu Induk Talang Ratu Palembang,” J. Ampere, vol. 2, no. 1, pp. 23–30, 2017.
[7] D. H. Sinaga, R. R. O. Sasue, and H. D. Hutahaean, “Pemanfaatan Energi Terbarukan Dengan Menerapkan Smart Grid Sebagai Jaringan Listrik Masa Depan,” J. Zetroem, vol. 3, no. 1, pp. 11–17, 2021.
[8] A. B. Muljono and I. M. A. Nrartha, “Analisis pengaruh unit pembangkit tersebar terhadap stabilitas dinamis sistem tenaga,” Maj. Ilm. Teknol. Elektro, vol. 8, no. 1, pp. 52–57, 2009.
[9] I. G. P. Arka, N. Mudiana, and G. K. Abasana, “Analisis arus gangguan hubung singkat pada penyulang 20 KV dengan Over Current Relay (OCR) dan Ground Fault Relay (GFR),” Log. J. Ranc. Bangun dan Teknol., vol. 16, no. 1, p. 46, 2017.
[10] A. Hasibuan, M. Isa, M. I. Yusoff, S. R. A. Rahim, and I. Nrartha, “Effect of installation of distributed generation at different points in the distribution system on voltage drops and power losses,” in AIP Conference Proceedings, 2021.
[11] M. Rupang, “PENEMPATAN DISTRIBUTED GENERATION (DG) OPTIMAL DENGAN METODE ALGORITMA PENYERBUKAN BUNGA MEMPERTIMBANGKAN KENAIKAN BEBAN,” Universitas Hasanuddin, 2023.
[12] S. Nisworo, A. Hasibuan, and S. Syafii, “Optimization of Thermal Power Plant Operations Using Genetic Algorithms,” J. Nas. Tek. Elektro, pp. 50–55, 2023.
[13] H. H. Zeineldin, H. M. Sharaf, D. K. Ibrahim, and E. E.-D. Abou El-Zahab, “Optimal protection coordination for meshed distribution systems with DG using dual setting directional over-current relays,” IEEE Trans. Smart Grid, vol. 6, no. 1, pp. 115–123, 2014.
[14] I. S. Tauladan and H. N. Syamsir, “Optimisasi Setting Directional Overcurrent Relay Dengan Menggunakan Hybrid Algoritma (DE –PSO),” J. Elem. (Elektro dan Mesin Ter., vol. 8, no. 2, pp. 194–204, 2022.
[15] A. Frediansyah, M. Facta, and S. Handoko, “Koordinasi Proteksi Relai Arus Lebih pada Sistem Distribusi Radial Menggunakan Jaringan Syaraf Tiruan Perambatan Balik,” Elektrika, vol. 14, no. 1, pp. 7–13, 2022.
[16] A. K. Faizin, E. A. Priyadi, and I. M. H. Purnomo, “ADAPTIVE PROTECTION FOR OPTIMAL COORDINATION DIGITAL OVERCURRENT RELAY USING MODIFIED FIREFLY ALGORITHM IN RADIAL DISTRIBUTION SYSTEM WITH DISTRIBUTED GENERATION,” 2015.
[17] A. Hasibuan, S. Masri, and W. Othman, “Effect of distributed generation installation on power loss using genetic algorithm method,” in IOP Conference Series: Materials Science and Engineering, 2018, p. 12034.
[18] D. Rahmatullah and B. Y. Dewantara, “Optimasi DOCR Pada Sistem Distribusi Loop dengan Pembangkit Tersebar Menggunakan Algoritma Modified Particle Swarm Optimastion (MPSO),” J-Eltrik, vol. 1, no. 1, p. 10, 2019.
[19] A. Hasibuan and others, “Applying genetic algorithm on power system stabilizer for stabilization of power system,” in Proceedings of The Annual International Conference, Syiah Kuala University-Life Sciences & Engineering Chapter, 2011.
[20] I. Winarno, D. Rahmatullah, I. Diah Prahmana Karyatanti Jurusan Teknik Elektro, F. Teknik dan Ilmu Kelautan, and U. Hang Tuah Jl Arief Rahman Hakim, “Koordinasi Docr Pada Sistem Distribusi Dengan Pembangkit Tersebar Menggunakan Artificial Neural Network Bpcg,” J. Tek. Elektro dan Komput. TRIAC, vol. 9, no. 1, pp. 17–27, 2022.
[21] R. Kurniawan, M. Daud, and A. Hasibuan, “Impact of Intermittent Renewable Energy Generations Penetration on Harmonics in Microgrid Distribution Networks,” in 2022 6th International Conference on Electrical, Telecommunication and Computer Engineering (ELTICOM), 2022, pp. 30–37.
[22] D. S. Lestari, D. I. M. Pujiantara, H. MPDIM, and P. M. Eng, “Adaptif Koordinasi Rele Proteksi Dengan Pembangkit Tersebar Menggunakan Metode Neural Network-Firefly,” Surabaya Inst. Teknol. Sepuluh Nop., 2018.
[23] A. S. Admi Syarif, “Algoritma Genetika: teori dan aplikasi,” 2014.
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