Smart Microgrid : Power Monitoring And Management System With Self-Healing Ability

Arief Fajariandi Dintika

Abstract


This research presents a smart microgrid power monitoring and management system with self-healing ability. Solar power plants have been integrated into the microgrid, which previously relied on DG and PLN power supply. However, the system’s monitoring and control are limited. This study develops an effective, efficient and reliable smart microgrid using integration of online monitoring and control system, power management system and self-healing ability. Online monitoring and control system is effectively to monitor and control the microgrid, can detect and analyze potential fault on grid at ease. Power management system is necessary to enhance efficiency and reliability to optimize power distribution. Then, with self-healing ability, enable to detect, to prevent, to isolate and to recover fault on grid automatically, make the smart microgrids more efficient and reliable. Through the Siemens TIA Portal, the study compared the simulation results of a conventional microgrid system with a smart microgrid system incorporate with online monitoring and control system, power management system, self-healing ability. Using some fault scenarios, MTTD value, MTTR value and Availability Rate value are obtained. As result, the applied smart microgrid system decrease the duration to detect and to recover fault on microgrid efficiently, thus the reliability also increased significantly.

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References


J. Lu and M. Niu, “CCIS 105 - Overview on Microgrid Research and Development,” Springer-Verlag, 2010.

A. Cagnano, E. De Tuglie, and P. Mancarella, “Microgrids: Overview and guidelines for practical implementations and operation,” Jan. 15, 2020, Elsevier Ltd. doi: 10.1016/j.apenergy.2019.114039.

Institute of Electrical and Electronics Engineers., 2007 IEEE International Conference on System of Systems Engineering. IEEE, 2007.

Universiti Tunku Abdul Rahman and Institute of Electrical and Electronics Engineers, ICSGCE 2018 : 2018 International Conference on Smart Grid and Clean Energy Technologies : 29 May - 1 June, 2018, Tunku Abdul Rahman, Sungai Long Campus, Kajang, Malaysia.

D. R. Nair, M. G. Nair, and T. Thakur, “A Smart Microgrid System with Artificial Intelligence for Power-Sharing and Power Quality Improvement,” Energies (Basel), vol. 15, no. 15, Aug. 2022, doi: 10.3390/en15155409.

Institute of Electrical and Electronics Engineers, 2019 IEEE 2nd International Conference on Renewable Energy and Power Engineering (REPE 2019) : November 2-4, 2019, Toronto, Canada.

I. Suryawati, O. Penangsang, and R. S. Wibowo, “Fast Restoration for Smart Grids Using Mixed-Integer Second Order Cone Programming,” International Review on Modelling and Simulations (IREMOS), vol. 15, no. 6, p. 408, Dec. 2022, doi: 10.15866/iremos.v15i6.23081.

Institute of Electrical and Electronics Engineers, 2019 IEEE 2nd International Conference on Renewable Energy and Power Engineering (REPE 2019) : November 2-4, 2019, Toronto, Canada.

M. Al Owaifeer and M. Al-Muhaini, “MILP-based technique for smart self-healing grids,” IET Generation, Transmission and Distribution, vol. 12, no. 10, pp. 2307–2316, May 2018, doi: 10.1049/iet-gtd.2017.1844.

H. G. Hegde, N. S. Mahesh, and K. Doss, “Overall Equipment Effectiveness Improvement by TPM and 5S Techniques in a CNC Machine Shop,” SASTech-Technical Journal of RUAS, vol. 8, no. 2, pp. 25–32, 2009.

K. N. Dervitsiotis, Operations Management. in International student edition. McGraw-Hill, 1981. [Online]. Available: https://books.google.co.id/books?id=J9wBzgEACAAJ

S. Nakajima, Introduction to TPM: Total Productive Maintenance. in Preventative Maintenance Series. Productivity Press, 1988. [Online]. Available: https://books.google.co.id/books?id=XKc28H3JeUUC




DOI: https://doi.org/10.12962/jaree.v9i1.427

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