Optimasi Pelepasan Beban Menggunakan Skema Pertahanan Adaptif Saat Terjadi Kondisi Gangguan Beban Lebih Pada Subsistem Mandirancan
DOI:
https://doi.org/10.55826/jtmit.v5i3.2157Keywords:
Skema Pertahanan Adaptif, Overload, SCADA, Remote StationAbstract
Meningkatnya pertumbuhan beban pada Subsistem Mandirancan berpotensi meningkatkan kerawanan sistem tenaga listrik di wilayah tersebut. Hal tersebut dapat terjadi apabila terjadi kontingensi yang menyebabkan pembebanan lebih (overload). Sistem skema pertahanan (Defense Scheme) yang terimplementasi pada sistem kelistrikan Subsistem Mandirancan membutuhkan sebuah pengembangan disain sebagai langkah mitigasi dalam menghadapi kondisi gangguan sistem tenaga listrik beban lebih. Penelitian ini mengusulkan desain skema pertahanan adaptif yang mengintegrasikan peralatan SCADA, telekomunikasi, dan sistem proteksi dengan memanfaatkan infrastruktur Gardu Induk yang ada dan disain logika pelepasan beban yang adaptif berdasarkan kondisi real-time. Metode pengujian dilakukan menggunakan perangkat server controller, gateway, data concentrator unit, master trip defense scheme dan simulator remote station yang diintegrasikan menjadi suatu sistem skema pertahanan adaptif. Pada studi kasus kontingensi N-1 IBT 1&2 500/150kV Mandirancan dengan set point sebesar 400MW, memberikan hasil akurasi pelepasan beban tanpa deviasi dan efektivitas pelepasan target 18 Trafo 100% dengan durasi waktu aksi selama 24 ms, akurasi pelepasan beban sangat penting untuk mengurangi kelebihan jumlah pemadaman tanpa mengesampingkan kestabilan sistem tenaga listrik.
References
[1] P. Yu, X. Xiong, X. He, J. Zhu, J. Liang, and D. Nan, “Emergency Load Shedding Strategy with Warning and Delay Time Based on Energy Storage,” vol. 10, no. 4, pp. 28–41, 2025, doi: 10.23919/PCMP.2024.000090.
[2] X. Zhou, Y. Jiang, C. Yang, D. Xu, J. Tang, and K. Xie, “Stochastic Steady-State Security Assessment for Power System Operation by Chance Constrained Optimal Power Flow-Based Load Shedding,” vol. 10, no. March, pp. 1–17, 2022, doi: 10.3389/fenrg.2022.770213.
[3] C. Fang, Y. Qiu, Z. Cheng, D. Xiao, and H. Jia, “Enhancing the Robustness of Cyber – Physical Power Systems : Optical Configuration of Software-Defined Optical Networks,” pp. 1–19, 2026.
[4] G. Paramo, M. D. B. S. Member, A. Bretas, S. Member, S. Meyn, and L. Fellow, “on Bayesian Filters and Spectral Clustering,” IEEE Open Access J. Power Energy, vol. 12, no. December 2024, pp. 100–110, 2025, doi: 10.1109/OAJPE.2025.3531240.
[5] C. Li, K. Wen, R. Mo, C. Wang, S. Wang, and L. Lu, “Resilience Enhancement of Power Systems Integrated with Renewable Energy Considering the Participation of Proton Exchange Membrane Electrolyzers Under Severe Ice Disaster Conditions,” pp. 1–26, 2026.
[6] J. Sun, J. Liu, Y. Liu, C. Li, and N. Zhi, “Research Article A Blocking Method for Overload-Dominant Cascading Failures in Power Grid Based on Source and Load Collaborative Regulation,” vol. 2024, 2024, doi: 10.1155/2024/6314966.
[7] S. Maleki and S. Member, “Survey of Load-Altering Attacks Against Power Grids : Attack Impact , Detection , and Mitigation,” IEEE Open Access J. Power Energy, vol. 12, no. March, pp. 220–234, 2025, doi: 10.1109/OAJPE.2025.3562052.
[8] Y. Wang, X. He, Z. Cheng, B. Wang, J. Che, and H. Zou, “Proactive Defense Approach for Cyber – Physical Fusion-Based Power Distribution Systems in the Context of Attacks Targeting Link Information Systems Within Smart Substations,” pp. 1–24, 2025.
[9] A. A. Okasha, D. A. Mansour, A. B. Zaky, J. Suehiro, and T. F. Megahed, “A Novel IoT-Based Controlled Islanding Strategy for Enhanced Power System Stability and Resilience,” pp. 3871–3894, 2024.
[10] A. P. Zhao, “Optimizing Cyber Insurance and Defense for Multi-Energy Systems Under False Data Injections,” vol. 1, pp. 1–13, 2025, doi: 10.1049/rpg2.70011.
[11] A. P. W. B, M. Facta, and S. Handoko, Improvement of Defense Scheme Operation by Considering Load Profile of Interbus. Atlantis Press International BV, 2023. doi: 10.2991/978-94-6463-228-6.
[12] H. Fang et al., “Coordinated Cyber – Physical Attack Strategies in Power Systems Considering Defense Resource Allocation and Emergency Dispatch Responses,” pp. 1–26, 2026.
[13] R. A. N. Chen, H. Xu, L. I. Zhou, J. I. E. Cai, C. Xiong, and Y. Zhou, “Underfrequency Load Shedding Strategy With an Adaptive Variation Capability for Multi-Microgrids,” IEEE Access, vol. 11, no. February, pp. 17294–17304, 2023, doi: 10.1109/ACCESS.2023.3246088.
[14] J. Chukwunweike, “Coordinating PLC-based load shedding and variable- speed drives to prevent transformer overloading during industrial production peaks,” vol. 6, no. 2, pp. 118–135, 2025.
[15] T. Madiba et al., “Under-frequency load shedding of microgrid systems : a review,” Int. J. Model. Simul., vol. 00, no. 00, pp. 1–27, 2021, doi: 10.1080/02286203.2021.1964061.
[16] E. K. Devyanti et al., “Journal of Sustainable Innovation Analysis of Defense Scheme in OverLoad Shedding on 70kV,” no. 20, 2024.
[17] S. Maleki, G. S. Member, E. V. Belmega, and S. Member, “Distribution System Reconfiguration to Mitigate Load Altering Attacks via Stackelberg Games,” pp. 1–14.
[18] D. B. Widyantara, I. Garniwa, and F. H. Jufri, “Reliability Improvement of Defense Scheme Implementation Using Adaptive Load Shedding Based On System Strength Index,” no. September, pp. 544–566, 2025.
[19] J. Segundo-ramírez, “Toward Adaptive Load Shedding Remedial Action Schemes in Modern Electrical Power Systems,” no. October, pp. 111011–111033, 2023, doi: 10.1109/ACCESS.2023.3322657.
[20] M. Yusril, I. Al, M. F. Hakim, and S. Djulihenanto, “Kajian Skema Baru Over Load Shedding Di Gitet Paiton,” pp. 36–41.
[21] X. Deng and Y. Shen, “Coordinated Defense Strategies for Energy Storage Systems Against Cascading Faults in Extreme Grid Scenarios,” 2026.
[22] T. N. Le, “Metaheuristic Optimization for PSI-Based Load Shedding and Voltage Stability in Islanded Microgrids,” vol. 16, no. 4, pp. 38316–38323, 2026.
[23] W. H. Id, J. Yu, Z. Yuan, Z. He, J. H. Id, and M. Deng, “PLOS ONE An adaptive under-frequency optimal control strategy for power system combined pumped storage and under-frequency load shedding,” pp. 1–30, 2021, doi: 10.1371/journal.pone.0261093.
[24] T. Ba, “Dynamically adaptive method for under frequency load shedding protection scheme reconfiguration,” vol. 207, no. January, 2022, doi: 10.1016/j.epsr.2022.107823.
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