Pengembangan Smart Grid dan Microgrid di Indonesia: Tantangan dan Arah Masa Depan

Erwin Budi Sulistyo

doi:10.14710/jebt.2026.30873

DOI: https://doi.org/10.14710/jebt.2026.30873

Pengembangan Smart Grid dan Microgrid di Indonesia: Tantangan dan Arah Masa Depan

Erwin Budi Sulistyo

Jurusan Teknik Fisika, Fakultas Teknologi Industri, Institut Teknologi Sepuluh Nopember (ITS), Jl. Arief Rahman Hakim, Surabaya 60111, Indonesia

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Abstract

Transformasi global sistem ketenagalistrikan menuju desentralisasi dan digitalisasi telah mendorong munculnya konsep smart grid dan microgrid sebagai pilar utama infrastruktur energi masa depan. Penelitian ini mengkaji tantangan dan peluang pengembangan smart grid dan microgrid dengan fokus pada konteks Indonesia. Metode yang digunakan adalah studi literatur terhadap publikasi ilmiah periode 2020–2025 yang bersumber dari basis data Scopus, IEEE, dan MDPI. Hasil kajian menunjukkan bahwa tantangan utama meliputi aspek keamanan siber, interoperabilitas sistem, dan integrasi energi terbarukan. Peluang strategis terletak pada penerapan kecerdasan buatan, blockchain, serta pengelompokan multi-microgrid untuk memperkuat ketahanan energi nasional. Diperlukan kebijakan adaptif, regulasi interoperabilitas, dan kesiapan infrastruktur digital guna menjamin implementasi yang efektif.

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Keywords: Jaringan listrik cerdas; Jaringan listrik mikro; Energi terbarukan; Keamanan siber; Rantai blok; Kecerdasan buatan

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Section: Research Articles

Language : ID

In Vol 7, No 1 (2026): Maret 2026

Aldabbagh, G., Dimitriou, N., Alkhuraiji, S., & Bamasag, O. (2021). Radio coverage and device capacity dimensioning methodologies for Iot Lorawan and NB-IOT deployments in urban environments. Future Internet, 13(6). doi: 10.3390/fi13060144
Ali, Y. A., Ouassaid, M., Cabrane, Z., & Lee, S. H. (2023). Enhanced Primary Frequency Control Using Model Predictive Control in Large-Islanded Power Grids with High Penetration of DFIG-Based Wind Farm. Energies, 16(11). doi: 10.3390/en16114389
Amiruddin, A., Dargaville, R., & Gawler, R. (2024). Optimal Integration of Renewable Energy, Energy Storage, and Indonesia’s Super Grid. Energies, 17(20). doi: 10.3390/en17205061
Arévalo, P., Benavides, D., Ochoa-Correa, D., Ríos, A., Torres, D., & Villanueva-Machado, C. W. (2025). Smart Microgrid Management and Optimization: A Systematic Review Towards the Proposal of Smart Management Models. In Algorithms (Vol. 18, Issue 7). Multidisciplinary Digital Publishing Institute (MDPI). doi: 10.3390/a18070429
Benitez, I. B., & Singh, J. G. (2025). A comprehensive review of machine learning applications in forecasting solar PV and wind turbine power output. Journal of Electrical Systems and Information Technology, 12(1). doi: 10.1186/s43067-025-00239-4
Irmak, E., Kabalci, E., & Kabalci, Y. (2023). Digital Transformation of Microgrids: A Review of Design, Operation, Optimization, and Cybersecurity. In Energies (Vol. 16, Issue 12). MDPI. doi: 10.3390/en16124590
Jamil, N., Qassim, Q. S., Bohani, F. A., Mansor, M., & Ramachandaramurthy, V. K. (2021). Cybersecurity of microgrid: State-of-the-art review and possible directions of future research. In Applied Sciences (Switzerland) (Vol. 11, Issue 21). MDPI. doi: 10.3390/app11219812
Judijanto, L., & Tahir, U. (2024). The Effect of Smart Grid Implementation on the Integration of New Renewable Energy in Indonesia’s Electricity System Article Info ABSTRACT. In West Science Nature and Technology (Vol. 2, Issue 04)
Kaur, R., Gholamhosseini, H., Sinha, R., & Lindén, M. (2022). Melanoma Classification Using a Novel Deep Convolutional Neural Network with Dermoscopic Images. Sensors, 22(3). doi: 10.3390/s22031134
Khan, M. R., Haider, Z. M., Malik, F. H., Almasoudi, F. M., Alatawi, K. S. S., & Bhutta, M. S. (2024). A Comprehensive Review of Microgrid Energy Management Strategies Considering Electric Vehicles, Energy Storage Systems, and AI Techniques. In Processes (Vol. 12, Issue 2). Multidisciplinary Digital Publishing Institute (MDPI). doi: 10.3390/pr12020270
Kumari, A., Sukharamwala, U. C., Tanwar, S., Raboaca, M. S., Alqahtani, F., Tolba, A., Sharma, R., Aschilean, I., & Mihaltan, T. C. (2022). Blockchain-Based Peer-to-Peer Transactive Energy Management Scheme for Smart Grid System. Sensors, 22(13). doi: 10.3390/s22134826
Matulin, L., Hrga, A., & Capuder, T. (2022). The Development and Implementation of a Microgrid SCADA System Simulator
Mchirgui, N., Quadar, N., Kraiem, H., & Lakhssassi, A. (2024). The Applications and Challenges of Digital Twin Technology in Smart Grids: A Comprehensive Review. In Applied Sciences (Switzerland) (Vol. 14, Issue 23). Multidisciplinary Digital Publishing Institute (MDPI). doi: 10.3390/app142310933
Nyangaresi, V. O., & Affane Moundounga, A. R. (2021). Secure Data Exchange Scheme for Smart Grids. 6th International Forum on Research and Technology for Society and Industry, RTSI 2021 - Proceedings, 312–316. doi: 10.1109/RTSI50628.2021.9597276
Pambudi, N. A., Firdaus, R. A., Rizkiana, R., Ulfa, D. K., Salsabila, M. S., Suharno, & Sukatiman. (2023). Renewable Energy in Indonesia: Current Status, Potential, and Future Development. In Sustainability (Switzerland) (Vol. 15, Issue 3). MDPI. doi: 10.3390/su15032342
Ragab, M., Ashary, E. B., Alghamdi, B. M., Aboalela, R., Alsaadi, N., Maghrabi, L. A., & Allehaibi, K. H. (2025). Advanced artificial intelligence with federated learning framework for privacy-preserving cyberthreat detection in IoT-assisted sustainable smart cities. Scientific Reports, 15(1). doi: 10.1038/s41598-025-88843-2
Sampath Ediriweera, W. E. P., & Lidula, N. W. A. (2022). Design and protection of microgrid clusters: A comprehensive review. AIMS Energy, 10(3), 375–411. doi: 10.3934/energy.2022020
Sulaeman, I., Simatupang, D. P., Noya, B. K., Suryani, A., Moonen, N., Popovic, J., & Leferink, F. (2021). Remote microgrids for energy access in indonesia—part i: Scaling and sustainability challenges and a technology outlook. Energies, 14(20). doi: 10.3390/en14206643
Worku, M. Y. (2022). Recent Advances in Energy Storage Systems for Renewable Source Grid Integration: A Comprehensive Review. In Sustainability (Switzerland) (Vol. 14, Issue 10). MDPI. doi: 10.3390/su14105985
Zou, B., Zeng, X., & Wang, F. (2022). Research on Modulation Signal Recognition Based on CLDNN Network. Electronics (Switzerland), 11(9). doi: 10.3390/electronics11091379

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