Kajian Risiko dan Manfaat Implementasi Internet of Things (IoT) Pada Pengelolaan Energi Listrik Berbasis Smart Grid
DOI:
https://doi.org/10.58369/biit.v3i1.93Abstract
The application of the Internet of Things (IoT) in smart grid-based electricity management offers great potential to enhance operational efficiency, system reliability, and environmental sustainability. IoT technology enables devices and sensors to connect and communicate in real-time. This creates a smart electricity grid that can collect accurate data, analyze energy consumption patterns, and support optimal resource management. This reduces energy waste, integrates renewable energy sources such as solar and wind power, and significantly contributes to the reduction of CO2 emissions. Additionally, IoT gives consumers greater control in monitoring and managing their energy consumption through technologies such as smart meters and cloud-based energy management systems. However, the implementation of this technology also faces various challenges, particularly related to cybersecurity threats, high initial investments, and the need for appropriate infrastructure. This research uses literature review techniques to investigate the benefits and risks of IoT implementation in smart grid systems. The research shows that cybersecurity threats such as data breaches and energy theft are one of the main obstacles that need to be addressed through security technologies such as data encryption, intrusion detection, and the development of blockchain-based security protocols. In addition, the high costs of procuring IoT hardware and software require government policy support and joint public-private sector investment. This study concludes that with the right approach, the implementation of IoT on smart grids can become a strategic solution for building a more efficient, environmentally friendly, and sustainable energy system. The recommendations provided include strengthening regulations, raising public awareness, and developing security technologies to minimize existing risks. Therefore, IoT can be the main catalyst for transforming the energy sector towards a more environmentally friendly and efficient future.
References
S. M. A. A. Abir, A. Anwar, J. Choi, and A. S. M. Kayes, “Iot-enabled smart energy grid: Applications and challenges,” IEEE Access, vol. 9, pp. 50961–50981, 2021, doi: 10.1109/ACCESS.2021.3067331.
M. F. Pela and R. Pramudita, “Sistem Monitoring Penggunaan Daya Listrik Berbasis Internet of Things Pada Rumah Dengan Menggunakan Aplikasi Blynk,” Infotech J. Technol. Inf., vol. 7, no. 1, pp. 47–54, 2021, doi: 10.37365/jti.v7i1.106.
A. M. Siregar and T. Elektro, “Pengaruh Pengembangan Smart Grid terhadap Pengelolaan Energi Listrik,” pp. 1–6.
K. Shafique, B. A. Khawaja, F. Sabir, S. Qazi, and M. Mustaqim, “Internet of things (IoT) for next-generation smart systems: A review of current challenges, future trends and prospects for emerging 5G-IoT Scenarios,” IEEE Access, vol. 8, pp. 23022–23040, 2020, doi: 10.1109/ACCESS.2020.2970118.
H. Pratama, “Penerapan Internet of Things ( IoT ) untuk Smart City : Konsep dan Implementasi,” pp. 1–6.
E. Adi, A. Anwar, Z. Baig, and S. Zeadally, “Machine learning and data analytics for the IoT,” Neural Comput. Appl., vol. 32, no. 20, pp. 16205–16233, 2020, doi: 10.1007/s00521-020-04874-y.
Q. T. Doan, A. S. M. Kayes, W. Rahayu, and K. Nguyen, “Integration of IoT Streaming Data with Efficient Indexing and Storage Optimization,” IEEE Access, vol. 8, pp. 47456–47467, 2020, doi: 10.1109/ACCESS.2020.2980006.
M. Pau et al., “A cloud-based smart metering infrastructure for distribution grid services and automation,” Sustain. Energy, Grids Networks, vol. 15, no. 2018, pp. 14–25, 2018, doi: 10.1016/j.segan.2017.08.001.
E. Bejoy, S. N. Islam, and A. M. T. Oo, “Optimal scheduling of appliances through residential energy management,” 2017 Australas. Univ. Power Eng. Conf. AUPEC 2017, vol. 2017-Novem, no. November 2017, pp. 1–6, 2018, doi: 10.1109/AUPEC.2017.8282505.
A. S. M. Kayes, W. Rahayu, and T. Dillon, “Critical situation management utilizing IoT-based data resources through dynamic contextual role modeling and activation,” Computing, vol. 101, no. 7, pp. 743–772, 2019, doi: 10.1007/s00607-018-0654-1.
F. Al-Turjman and M. Abujubbeh, “IoT-enabled smart grid via SM: An overview,” Futur. Gener. Comput. Syst., vol. 96, pp. 579–590, 2019, doi: 10.1016/j.future.2019.02.012.
D. B. Avancini, J. J. P. C. Rodrigues, S. G. B. Martins, R. A. L. Rabêlo, J. Al-Muhtadi, and P. Solic, “Energy meters evolution in smart grids: A review,” J. Clean. Prod., vol. 217, pp. 702–715, 2019, doi: 10.1016/j.jclepro.2019.01.229.
R. Rashed Mohassel, A. Fung, F. Mohammadi, and K. Raahemifar, “A survey on Advanced Metering Infrastructure,” Int. J. Electr. Power Energy Syst., vol. 63, pp. 473–484, 2014, doi: 10.1016/j.ijepes.2014.06.025.
S. E. Bibri, “The IoT for smart sustainable cities of the future: An analytical framework for sensor-based big data applications for environmental sustainability,” Sustain. Cities Soc., vol. 38, pp. 230–253, 2018, doi: 10.1016/j.scs.2017.12.034.
M. A. Ferrag, M. Babaghayou, and M. A. Yazici, “Cyber security for fog-based smart grid SCADA systems: Solutions and challenges,” J. Inf. Secur. Appl., vol. 52, no. June, 2020, doi: 10.1016/j.jisa.2020.102500.
M. Jia, A. Komeily, Y. Wang, and R. S. Srinivasan, “Adopting Internet of Things for the development of smart buildings: A review of enabling technologies and applications,” Autom. Constr., vol. 101, no. July 2018, pp. 111–126, 2019, doi: 10.1016/j.autcon.2019.01.023.
G. Rahman, M. F. Bin, R. Chowdhury, A. Al Mamun, R. Hasan, and S. Mahfuz, “Summary of Smart Grid : Benefits and Issues,” Int. J. Sci. Eng. Res., vol. 4, no. 3, pp. 1–7, 2013, [Online]. Available: http://www.ijser.org
S. S. Reka and T. Dragicevic, “Future effectual role of energy delivery: A comprehensive review of Internet of Things and smart grid,” Renew. Sustain. Energy Rev., vol. 91, no. June 2017, pp. 90–108, 2018, doi: 10.1016/j.rser.2018.03.089.
I. Stellios, P. Kotzanikolaou, M. Psarakis, C. Alcaraz, and J. Lopez, “A survey of iot-enabled cyberattacks: Assessing attack paths to critical infrastructures and services,” IEEE Commun. Surv. Tutorials, vol. 20, no. 4, pp. 3453–3495, 2018, doi: 10.1109/COMST.2018.2855563.
W. Chin, W. Li, and H. Chen, “08067688,” no. October, pp. 70–75, 2017.
W. Li, T. Logenthiran, V. T. Phan, and W. L. Woo, “A novel smart energy theft system (SETS) for IoT-based smart home,” IEEE Internet Things J., vol. 6, no. 3, pp. 5531–5539, 2019, doi: 10.1109/JIOT.2019.2903281.
Y. Zhang et al., “Cyber Physical Security Analytics for Transactive Energy Systems,” IEEE Trans. Smart Grid, vol. 11, no. 2, pp. 931–941, 2020, doi: 10.1109/TSG.2019.2928168.
C. Barreto, H. Neema, and X. Koutsoukos, “Attacking Electricity Markets through IoT Devices,” Computer (Long. Beach. Calif)., vol. 53, no. 5, pp. 55–62, 2020, doi: 10.1109/MC.2020.2973951.
A. Anwar and A. N. Mahmood, “Stealthy and blind false injection attacks on SCADA EMS in the presence of gross errors,” IEEE Power Energy Soc. Gen. Meet., vol. 2016-November, no. June, 2016, doi: 10.1109/PESGM.2016.7741557.
A. Anwar, A. N. Mahmood, and M. Pickering, “Data-driven stealthy injection attacks on smart grid with incomplete measurements,” Lect. Notes Comput. Sci. (including Subser. Lect. Notes Artif. Intell. Lect. Notes Bioinformatics), vol. 9650, no. June 2019, pp. 180–192, 2016, doi: 10.1007/978-3-319-31863-9_13.
A. Anwar, A. N. Mahmood, and Z. Tari, “Identification of vulnerable node clusters against false data injection attack in an AMI based Smart Grid,” Inf. Syst., vol. 53, pp. 201–212, 2015, doi: 10.1016/j.is.2014.12.001.
D. Mocrii, Y. Chen, and P. Musilek, “IoT-based smart homes: A review of system architecture, software, communications, privacy and security,” Internet of Things (Netherlands), vol. 1–2, pp. 81–98, 2018, doi: 10.1016/j.iot.2018.08.009.
D. Minoli, “Positioning of blockchain mechanisms in IOT-powered smart home systems: A gateway-based approach,” Internet of Things (Netherlands), vol. 10, p. 100147, 2020, doi: 10.1016/j.iot.2019.100147.
M. Rahimi, M. Songhorabadi, and M. H. Kashani, “Fog-based smart homes: A systematic review,” J. Netw. Comput. Appl., vol. 153, no. June 2022, 2020, doi: 10.1016/j.jnca.2020.102531.
S. Luo and J. B. Plescia, “Pt Cr Pt Cr,” Adv. Drug Deliv. Rev., 2019, [Online]. Available: https://doi.org/10.1016/j.addr.2019.08.007
A. P. Plageras, K. E. Psannis, C. Stergiou, H. Wang, and B. B. Gupta, “Efficient IoT-based sensor BIG Data collection–processing and analysis in smart buildings,” Futur. Gener. Comput. Syst., vol. 82, pp. 349–357, 2018, doi: 10.1016/j.future.2017.09.082.
Downloads
Published
Issue
Section
License
Authors who publish with this journal agree to the following terms:
- Authors retain copyright and grant the journal right of first publication with the work simultaneously licensed under Creative Commons Attribution 4.0 International License that allows others to share the work with an acknowledgment of the work's authorship and initial publication in this journal.
- Authors are able to enter into separate, additional contractual arrangements for the non-exclusive distribution of the journal's published version of the work (e.g., post it to an institutional repository or publish it in a book), with an acknowledgment of its initial publication in this journal.
- Authors are permitted and encouraged to post their work online (e.g., in institutional repositories or on their website) prior to and during the submission process, as it can lead to productive exchanges, as well as earlier and greater citation of published work (Refer to The Effect of Open Access).
