Details

Title

Prediction of lightning density value tower based on Adaptive Neuro-fuzzy Inference System

Journal title

Archives of Electrical Engineering

Yearbook

2021

Volume

vol. 70

Issue

No 3

Affiliation

Said, Sri Mawar : Hasanuddin University, Indonesia ; Nappu, Muhammad Bachtiar : Hasanuddin University, Indonesia ; Asri, Andarini : Ujung Pandang State Polytechnic, Indonesia ; Utomo, Bayu Tri : Hasanuddin University, Indonesia

Authors

Keywords

Adaptive Neuro-fuzzy Inference System ; lightning density prediction tower ; Transmission Line Arrester

Divisions of PAS

Nauki Techniczne

Coverage

499-511

Publisher

Polish Academy of Sciences

Bibliography

[1] Utomo B.T., Nappu M.B., Said S.M., Arief A., The Placement of the Transmission Lightning Arrester (TLA) at 150 kV Network using Fuzzy Logic, in 2018 10th International Conference on Information Technology and Electrical Engineering (ICITEE), pp. 347–352 (2018).
[2] Rawi I.M., Kadir M.Z.A.A., Azis N., Lightning study and experience on the first 500kV transmission line arrester in Malaysia, in 2014 International Conference on Lightning Protection (ICLP), pp. 1106–1109 (2014), DOI: 10.1109/ICLP.2014.6973289.
[3] Gassing, Analisis Sistem Proteksi Petir (Lighting Performance) Pada Sutt 150 kV Sistem Sulawesi Selatan, vol. 6, pp. 978–979 (2012).
[4] Apriyadi M., Manjang S., Nappu M.B., Tegangan Impuls Dan Arus Transien Jaringan Transmisi 150 kV Sinjai-Bone Akibat Sambaran Petir Menggunakan ATPDraw, Jurnal Sains dan Teknologi, vol. 3, no. 2, pp. 156–164 (2014).
[5] Lembang N., Manjang S., Kitta I., Efek Penurunan Tahanan Pembumian Tower 150 kV terhadap Sistem Penyaluran Petir, J. Penelit. Enj., vol. 21, no. 2, pp. 7–15 (2017).
[6] Islam M.Z., Rashed M.R., Yusuf M.S.U., ATP-EMTP modeling and performance test of different type lightning arrester on 132kv overhead transmission tower, in 2017 3rd International Conference on Electrical Information and Communication Technology (EICT), pp. 1–6 (2017).
[7] Houari K., Hartani T., Remini B., Lefkir A., Abda L., Heddam S., A hybrid model for modelling the salinity of the Tafna River in Algeria, J. Water L. Dev., vol. 40, no. 1, pp. 127–135 (2019).
[8] Gubán M., Kása R., Takács D., Avornicului M., Trends of using artificial intelligence in measuring innovation potential, Manag. Prod. Eng. Rev., vol. 10 (2019).
[9] Jang J.S.R., MATLAB: Fuzzy logic toolbox user’s guide: Version 1 (1997).
[10] Said S.M., Latief S., Determination Of Sensorless Input Parameters Of Solar Panel With Adaptive Neuro-Fuzzy Inference System (Anfis) Methods, Indonesia (2018).
[11] Marsudi D., Operasi Sistem Tenaga Listrik (2006).
[12] Ishii M. et al., Multistory transmission tower model for lightning surge analysis, IEEE Trans. Power Deliv., vol. 6, no. 3, pp. 1327–1335 (1991).
[13] Ito T., Ueda T., Watanabe H., Funabashi T., Ametani A., Lightning flashovers on 77-kV systems: observed voltage bias effects and analysis, IEEE Trans. Power Deliv., vol. 18, no. 2, pp. 545–550 (2003).
[14] Correia M.T., Festas J., Milheiras H., FelizardoN., Fernadez M., Sousa J., Methodologies for evaluating the lightning performance of transmission lines, ICOLIM (1998).
[15] Oktaviani W.A., Hati I.P., Efektifitas Perlindungan Kawat Tanah Jaringan SUTM 20 kV Gardu Induk Boom Baru Palembang, PROtek J. Ilm. Tek. Elektro, vol. 6, no. 2, pp. 90–95 (2019).
[16] Nugroho A., Syakur A., Penentuan Lokasi Pemasangan Lightning Masts Pada Menara Transmisi Untuk Mengurangi Kegagalan Perlindungan Akibat Sambaran Petir, Transmisi, vol. 7, no. 1, pp. 31–36 (2005).
[17] Simon R., Geetha A., Comparison on the performance of Induction motor control using fuzzy and ANFIS controllers, in 2013 IEEE International Conference ON Emerging Trends in Computing, Communication and Nanotechnology (ICECCN), pp. 491–495 (2013).
[18] Lincy L.M., Senthil K.R., Comparison Analysis of Fuzzy Logic and ANFIS Controller for Mitigation of Harmonics, Proc. 4th Int. Conf. Electr. Energy Syst. ICEES 2018, pp. 578–583 (2018).
[19] Rahman M.M.A., Rahim A., Performance evaluation of ANN and ANFIS based wind speed sensorless MPPT controller, in 2016 5th International Conference on Informatics, Electronics and Vision (ICIEV), pp. 542–546 (2016).
[20] Ali M., Nurohmah H., Raikhani A., Sopian H., Sutantra N., Combined ANFIS method with FA, PSO, and ICA as Steering Control Optimization on Electric Car, in 2018 Electrical Power, Electronics, Communications, Controls and Informatics Seminar (EECCIS), pp. 299–304 (2018).
[21] Aniserowicz K., Analytical calculations of surges caused by direct lightning strike to underground intrusion detection system, Bull. Polish Acad. Sci. Tech. Sci., vol. 67, no. 2 (2019).

Date

2021.08.18

Type

Article

Identifier

DOI: 10.24425/aee.2021.137570
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