Data-Flow Programming Based Non-Intrusive Load Monitoring for Electricity in Remote Area
Penulis/Author
SYAFRUDI (1); Prof. Dr. Eng. Ir. F. Danang Wijaya, S.T., M.T., IPM. (2); Prof. Ir. Sarjiya, S.T., MT., Ph.D., IPU. (3)
Tanggal/Date
2021
Kata Kunci/Keyword
Abstrak/Abstract
The use of electrical energy in remote areas must be carried out efficiently. This study proposed a load
monitoring method in remote areas. This study developed a Data-Flow Programming (DFP) based Non-Intrusive Load
Monitoring (NILM) by employing a bagging decision tree algorithm to conduct load disaggregation. This study built
the DFP and the Graphical User Interface (GUI) in LabVIEW connected to power sensor ADE9153A on Arduino UNO
via serial communication. This experiment was conducted on the LabVIEW 2020 running on a computer with a 64-bit
operating system, Intel i5 2400-3.1 GHz CPU, 16 GB RAM. This study produced a good performance of NILM with
0.9617 of accuracy and 0.9728 of f1-score. The proposed method of the NILM process was suitable for electricity in
remote areas because the DFP used in the algorithm is easy to understand, easy to operate, and inexpensive to build.
Finally, the NILM technique can improve the efficiency of used electrical energy in remote areas. By applying NILM,
the operator can determine the priority of which devices should be ON or OFF at a particular time as needed. In
addition, the NILM can contribute to the balancing of small and weak microgrids in scenarios of high renewable
energy penetration
Level
Internasional
Status
Dokumen Karya
No
Judul
Tipe Dokumen
Aksi
1
MESFIA2021_ConferenceProceedings-247 Data-Flow Programming Based Non-Intrusive Load Monitoring for Electricity in.pdf
[PAK] Full Dokumen
2
Data-Flow Programming based Non-Intrusive Load Monitoring for Electricity in Remote Area.pdf
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3
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