Article Sidebar

Submitted
Jan 10, 2023
Accepted
Jan 25, 2023
Published
Mar 30, 2023
Download
pdf
Statistic
Read Counter : 259 Download : 145

Downloads

Download data is not yet available.

Main Article Content

Abstract

This research is to test the N-1 security contingency analysis using the IEEE 9 bus application performance index method. In this study, the N-1 contingency was carried out where only one discharge between buses occurred which was implemented on the IEEE 9 bus system using the Newton Raphson power flow method. . From the results of the power flow calculation, the active power value of the channel is taken with the maximum iteration limit that has been determined to achieve a convergent value in the method. Channel ranking is based on Performance Index (PI) values. PI calculation is done every channel release with the help of Etap 12.6 software. In the first channel discharge scenario, the largest PI value is found on channels 9-8 with PI 3.0658 because the bus is overloaded. Not all channels are overloaded when a channel is released, one of which is still able to accommodate the load, this occurs on channels 3 Bus 7 to Bus 8 of 0.5418. Then to overcome these advantages added loading power so as not to become too heavy and the value of the performance index is reduced.

Keywords

Contigency analysis Newton Raphson Performance Index Ranking IEEE 9 Bus Power Flow

Article Details

Creative Commons License

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

How to Cite
1.
Gultom AR, Dewi AY, Zukarnaini, Kartiria. N-1 Security Contingency Analysis through the IEEE Bus Application Performance Index Method 9. EKSAKTA [Internet]. 2023Mar.30 [cited 2024Nov.21];24(01):40-55. Available from: https://eksakta.ppj.unp.ac.id/index.php/eksakta/article/view/387

References

  1. Karbalaei, F., Shabani, H. R., & Abbasi, S. (2022). Pre-and post-disturbance transient stability assessment using intelligent systems via quick estimating of the critical clearing time. International Journal of Emerging Electric Power Systems.
  2. Karbalaei, F., & Abasi, S. (2011). Prediction of voltage collapse in presence of voltage dependent loads by PV curve approximation. In 2011 Asia-Pacific Power and Energy Engineering Conference (pp. 1-4). IEEE.
  3. Wood, A. J., Wollenberg, B. F., & Sheblé, G. B. (2013). Power generation, operation, and control. John Wiley & Sons.
  4. Hinojosa, V. H. (2020). Comparing corrective and preventive security-constrained DCOPF problems using linear shift-factors. Energies, 13(3), 516.
  5. Rani, P. S., Giridhar, M. S., Rani, K. R., & Janamala, V. Adaptive Grasshopper Optimization Algorithm for Multi-Objective Dynamic Optimal Power Flow in Renewable Energy Integrated Microgrid.
  6. Chaudhary, G., Lamb, J. J., Burheim, O. S., & Austbø, B. (2021). Review of energy storage and energy management system control strategies in microgrids. Energies, 14(16), 4929.
  7. Thakre, M. P., & Kale, V. S. (2014). Distance protection for long transmission line using PSCAD. International Journal of Advances in Engineering & Technology, 6(6), 2579.
  8. Kwasinski, A., Andrade, F., Castro-Sitiriche, M. J., & O’Neill-Carrillo, E. (2019). Hurricane Maria effects on Puerto Rico electric power infrastructure. IEEE Power and Energy Technology Systems Journal, 6(1), 85-94.
  9. Mufana, M. W., & Ibrahim, A. (2022). Monitoring with Communication Technologies of the Smart Grid. IDOSR Journal of Applied Sciences, 7(1), 102-112.
  10. Mahzarnia, M., Moghaddam, M. P., Baboli, P. T., & Siano, P. (2020). A review of the measures to enhance power systems resilience. IEEE Systems Journal, 14(3), 4059-4070.
  11. Hossain, M. A., Pota, H. R., Hossain, M. J., & Blaabjerg, F. (2019). Evolution of microgrids with converter-interfaced generations: Challenges and opportunities. International Journal of Electrical Power & Energy Systems, 109, 160-186.
  12. Friday, A. O., & Patrick, O. (2020). Electrical Load Reliability Assessment Using Analytical Method, Case Study: Fupre 1 X 2.5 Mva Injection Substation. Journal of Engineering Studies and Research, 26(3), 39-51.
  13. Wong, S. Y., Choe, C. W. C., Goh, H. H., Low, Y. W., Cheah, D. Y. S., & Pang, C. (2021). Power transmission line fault detection and diagnosis based on artificial intelligence approach and its development in uav: A review. Arabian Journal for Science and Engineering, 46(10), 9305-9331.
  14. Kasar, A. B., & Sudheer, V. (2020). Recent Trends in Electrical Power System by using Computational Intelligence Techniques. Solid State Technology, 63(5), 4005-4018.
  15. Alvarez-Alvarado, M. S. (2020). Power system reliability enhancement with reactive power compensation and operational risk assessment with smart maintenance for power generators (Doctoral dissertation, University of Birmingham).
  16. SADSAD, M. P. (2022). Utilizing The Competency-Based Strategic Intervention Materials As Tool To Assess Performance Of Students In Grade 9 Physical Education.
  17. Sallam, Abdelhay A., and Om P. Malik. (2015). Power Flow Analysis. Power System Stability: Modelling, Analysis and Control: 107–30.
  18. Syahputra, I., Syukri, M., & Lubis, R. S. (2017). Studi Analisis Kontingensi pada jaringan Interkoneksi 150 kV Sub Sistem Aceh. Jurnal Komputer, Informasi Teknologi, dan Elektro, 2(4).
  19. Pandapotan, Sumitro. (2017). Penggunaan ETAP 12 . 6 Sebagai Software Analisis Power Quality. SEMINAR NASIONAL TEKNIK ELEKTRO (SNTE) 2015, Teknik Elektro,Prodi Teknik Listrik,Politeknik Negeri Jakarta 1(Electrical Software): 123–27.
  20. Wang, Y., Qi, D., Zhang, J., & Chen, Y. (2022). An optimal over-frequency droop control for DFIG-based wind farm under unreliable communication. CSEE Journal of Power and Energy Systems.
  21. Bagdadee, A. H., & Zhang, L. (2019). Smart grid: a brief assessment of the smart grid technologies for modern power system. Journal of Engineering Technology, 8(1), 122-142..
  22. Hajar, I., Pasra, N., & Rusmansyah, D. (2020). Analisis Voltage Drop Pada Jaringan Tegangan Rendah Dengan Metode Pecah Beba Pada Gardu KH 007 Di PT PLN (Persero) UP3 Pamekasan. SUTET, 10(2), 99-111.
  23. Mohsin, M. Y., Khan, M. A. M., Yousif, M., Chaudhary, S. T., Farid, G., & Tahir, W. (2022). Comparison of Newton Raphson and Gauss Seidal Methods for Load Flow Analysis. International Journal of Electrical Engineering & Emerging Technology, 5(1), 01-07.
  24. Ahmad, H. K. (2022). Ac Power Flow Analysis Using Fast Decoupled Newton-Raphson Algorithm Compared With Gaussian-Seidel Approach. Journal of Optoelectronics Laser, 41(3), 238-252.
  25. Potterton, A., Husseini, F. S., Southey, M. W., Bodkin, M. J., Heifetz, A., Coveney, P. V., & Townsend-Nicholson, A. (2019). Ensemble-based steered molecular dynamics predicts relative residence time of A2A receptor binders. Journal of Chemical Theory and Computation, 15(5), 3316-3330.
  26. Chinweoke, O. U., & Christopher, I. W. (2020). Load Evaluation with Fast Decoupled-Newton Raphson Algorithms: Evidence from Port Harcourt Electricity. Advances in Science, Technology and Engineering Systems Journal, 5(5), 1099-1110.
  27. Basit, A., Mishra, R. K., & Bandyopadhyay, P. (2021). Calcium ion binding to calmodulin: binding free energy calculation using the molecular mechanics Poisson-Boltzmann surface area (MM-PBSA) method by incorporating implicit polarization. Journal of Biomolecular Structure and Dynamics, 39(18), 7213-7222.
  28. Fernández-Rodríguez, A., Fernández-Cardador, A., Cucala, A. P., & Falvo, M. C. (2019). Energy efficiency and integration of urban electrical transport systems: EVS and metro-trains of two real European lines. Energies, 12(3), 366.
  29. Hidayati, A., & Muljono, A. B. (2018). Analisis Kontingensi Terhadap Unjuk Kerja Dan Keandalan Komposit Pembangkit Dan Transmisi Pada Sistem Kelistrikan Lombok. DIELEKTRIKA, 3(2), 95-104.
  30. Kurniawan, R., Nasution, A., Hasibuan, A., Isa, M., Gard, M., & Bhunte, S. V. (2021). The effect of distributed generator injection with different numbers of units on power quality in the Electric Power System. Journal of Renewable Energy, Electrical, and Computer Engineering, 1(2), 71-78.
  31. Djalal, M. R., Saini, M., & Yunus, A. S. (2021). Load Flow Analysis After the Entry of Renewable Power Plants in the Sulselrabar System. Journal of Electrical Technology UMY, 5(2), 80-87.
  32. Muhammad, R. D., Makmur, S., & AM Shiddiq, Y. (2022). Power Flow Analysis in N-1 Contingency Conditions Due to the Entry of Renewable Power Plants in the Sulselrabar System. INTEK: Jurnal Penelitian, 9(1), 82-88.
  33. Larasati, N., Rahardjo, A., Prameswara, H. T., & Husnayain, F. Interconnection Study of a 3 MWp Solar Farm on 20 kV Distribution System Considering Power Flow and Short Circuit. ELKHA: Jurnal Teknik Elektro, 12(2), 84-91.
  34. Rahman, A. H., Hidayahtullah, A., Ulfa, A. N., Ahmad, R. Z., & Putra, J. T. (2021). Improvement of the power factor on the distribution line feeder Sutami 23 Lampung using capacitor bank and SVC with ETAP 12.6 simulation. Teknika: Jurnal Sains dan Teknologi, 17(2), 138-149.
  35. Apriliani, N. D., Suheta, T., & Bachri, A. (2020). Analisis Aliran Daya Pada PLTGU Blok 1 PT. PJB Unit Pembangkitan Gresik. Jurnal JE-UNISLA: Electronic Control, Telecomunication, Computer Information and Power System, 5(1), 348-352.
  36. Gusmedi, H., & Legita, L. H. J. (2022, April). Analisis Kontigensi Saluran Transmisi Dengan Menggunakan Indeks Performa Tegangan (PIV) Dan Indeks Performa Daya Aktif (PIMW). In Seminar Nasional Insinyur Profesional (SNIP) (Vol. 2, No. 1).
  37. Meinecke, S., Sarajlić, D., Drauz, S. R., Klettke, A., Lauven, L. P., Rehtanz, C., ... & Braun, M. (2020). Simbench—a benchmark dataset of electric power systems to compare innovative solutions based on power flow analysis. Energies, 13(12), 3290.
  38. Pan, X., Zhao, T., Chen, M., & Zhang, S. (2020). Deepopf: A deep neural network approach for security-constrained dc optimal power flow. IEEE Transactions on Power Systems, 36(3), 1725-1735.
  39. Velay, M., Vinyals, M., Besanger, Y., & Retière, N. (2019). Fully distributed security constrained optimal power flow with primary frequency control. International Journal of Electrical Power & Energy Systems, 110, 536-547.
  40. Muhaemin, C. (2017). Multy Utility Service Infrastructure (Musi) Berbasis Oplc Untuk Implementasi Smart Grid Communication Network. Jurnal Teknologi Elektro, 8(1), 142122.
  41. Melati, A. P. (2020). Analisa Kontingensi Pada Sistem Saluran Transmisi Subsistem Borang Dengan Ip Menggunakan Etap 16.0. 0 (Doctoral dissertation, Politeknik Negeri Sriwijaya).
  42. Maliky, A. T., & Haryudo, S. I. (2020). Analisis Keandalan Sistem Distribusi 20kv Pada Penyulang Pejangkungan Di Pt Pln Pasuruan Menggunakan Metode Ria (Reliability Index Assesment). Jurnal Teknik Elektro, 9(1).
  43. Haarla, L., Koskinen, M., Hirvonen, R., & Labeau, P. E. (2011). Transmission grid security: a PSA approach. Springer Science & Business Media.
  44. Utami, A. R., & Senen, A. (2021). Analisa Kontingensi Terhadap Performance Index Sistem Tenaga Listrik 20KV di PT. PLN (Persero) UP3 Palembang (Doctoral dissertation, INSTITUT TEKNOLOGI PLN).
  45. Arifin, Ahmad Mursali. (2019). Analisis Kontingensi Sistem Tenaga Listrik pada Jaringan 150 kV. Jurusan Teknik Elektro, Fakultas Teknologi Industri, and Universitas Islam Indonesia.