Conductor minimum safe distance analysis: Application of a 20 kV medium voltage airline (SUTM) system

Amir Machmud, Suranto Suranto, Hamimi Hamimi, Setyo Harmono

Abstract


Medium Voltage Air Line Conductor (SUTM) has a voltage of 20 kV. The SUTM network should have the criteria for electricity safety techniques, including minimum safety distances between the trees and the environment and the effectiveness of electricity distribution development. There are ten stages in the installation of the new SUTM 20 kV network. The results of the study concluded that the Conductor used in the planning of the 20 kV SUTM new network construction was AAACS - 150 mm2. The safe distance between the conductors and the conditions contained Billboards are> 0.5 meters with a minimum height difference of ± 2.5 meters. Whereas the safe distance between the conductor and the tree is ± 0.5 meters, but the Medium Voltage Network Construction Standard for Electric Power must have a height difference of > 2.5 meters. The distance between the conductor and billboards is> 0.5 meters, which does not complete the standard instructions.

Keywords


Conductor Minimum Safe, Medium Voltage Air Line, SUTM, PLN

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References


M. Li, T. Xiang, Y. Wang, and K. Chen, “Study on transient wind field model of transmission line based on multivariable harmonic superposition method,” in Journal of Physics: Conference Series. 1639, 2020, vol. 1639, no. 1, pp. 1–7, doi: 10.1088/1742-6596/1639/1/012021.

C. Chen, B. Yang, S. Song, X. Peng, and R. Huang, “Automatic clearance anomaly detection for transmission line corridors utilizing UAV-Borne LIDAR data,” Remote Sens., vol. 10, no. 4, p. 613, Apr. 2018, doi: 10.3390/rs10040613.

M. G. M. Jardini et al., “Information system for the vegetation control of transmission lines right-of-way,” in 2007 IEEE Lausanne POWERTECH, Proceedings, 2007, pp. 28–33, doi: 10.1109/PCT.2007.4538287.

J. Ahmad, A. S. Malik, L. Xia, and N. Ashikin, “Vegetation encroachment monitoring for transmission lines right-of-ways: A survey,” Electric Power Systems Research, vol. 95. Elsevier Ltd, pp. 339–352, 01-Feb-2013, doi: 10.1016/j.epsr.2012.07.015.

S. J. Mills et al., “Evaluation of aerial remote sensing techniques for vegetation management in power-line corridors,” IEEE Trans. Geosci. Remote Sens., vol. 48, no. 9, pp. 3379–3390, Sep. 2010, doi: 10.1109/TGRS.2010.2046905.

R. Zhang, B. Yang, W. Xiao, F. Liang, Y. Liu, and Z. Wang, “Automatic extraction of high-voltage power transmission objects from UAV Lidar point clouds,” Remote Sens., vol. 11, no. 22, Nov. 2019, doi: 10.3390/rs11222600.

X. Qin, G. Wu, X. Ye, L. Huang, and J. Lei, “A novel method to reconstruct overhead high-voltage power lines using cable inspection robot lidar data,” Remote Sens., vol. 9, no. 7, p. 753, Jul. 2017, doi: 10.3390/rs9070753.

L. Yan, W. Wu, and T. Li, “Power transmission tower monitoring technology based on TerraSAR-X products,” in International Symposium on Lidar and Radar Mapping 2011: Technologies and Applications, 2011, vol. 8286, p. 82861E, doi: 10.1117/12.912336.

S. Deng, P. Li, J. Zhang, and J. Yang, “Power line detection from synthetic aperture radar imagery using coherence of co-polarisation and cross-polarization estimated in the Hough domain,” IET Radar, Sonar Navig., vol. 6, no. 9, pp. 873–880, 2012, doi: 10.1049/iet-rsn.2011.0332.

K. Xu, X. Zhang, Z. Chen, W. Wu, and T. Li, “Risk assessment for wildfire occurrence in high-voltage power line corridors by using remote-sensing techniques: a case study in Hubei Province, China,” Int. J. Remote Sens., vol. 37, no. 20, pp. 4818–4837, Oct. 2016, doi: 10.1080/01431161.2016.1220032.

Y. Kobayashi, G. G. Karady, G. T. Heydt, and R. G. Olsen, “The utilization of satellite images to identify trees endangering transmission lines,” IEEE Trans. Power Deliv., vol. 24, no. 3, pp. 1703–1709, 2009, doi: 10.1109/TPWRD.2009.2022664.

G. Jóźków, B. Vander Jagt, and C. Toth, “Experiments with UAS imagery for automatic modeling of power line 3D geometry,” in International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences - ISPRS Archives, 2015, vol. 40, no. 1W4, pp. 403–409, doi: 10.5194/isprsarchives-XL-1-W4-403-2015.

Z. Haocheng et al., “Power line identification algorithm for aerial image in complex background,” Bull. Surv. Mapp., vol. 0, no. 7, p. 28, Jul. 2019, doi: 10.13474/J.CNKI.11-2246.2019.0213.

M. S. Jadin, K. H. Ghazali, and S. Taib, “Thermal condition monitoring of electrical installations based on infrared image analysis,” in 2013 Saudi International Electronics, Communications and Photonics Conference, SIECPC 2013, 2013, doi: 10.1109/SIECPC.2013.6550790.

W. Zhang et al., “Intelligent diagnostic techniques of abnormal heat defect in transmission lines based on unmanned helicopter infrared video,” Dianwang Jishu/Power Syst. Technol., vol. 38, no. 5, pp. 1334–1338, 2014, doi: 10.13335/j.1000-3673.pst.2014.05.032.

C. Nardinocchi, M. Balsi, and S. Esposito, “Fully automatic point cloud analysis for powerline corridor mapping,” IEEE Trans. Geosci. Remote Sens., vol. 58, no. 12, pp. 8637–8648, Dec. 2020, doi: 10.1109/TGRS.2020.2989470.

C. Chen, X. Mai, S. Song, X. Peng, W. Xu, and K. Wang, “Automatic power lines extraction method from airborne LiDAR point cloud,” Wuhan Daxue Xuebao (Xinxi Kexue Ban)/Geomatics Inf. Sci. Wuhan Univ., vol. 40, no. 12, pp. 1600–1605, Dec. 2015, doi: 10.13203/j.whugis20130573.

X. D. Chen, L. Chen, Y. Wang, G. Xu, J. H. Yong, and J. C. Paul, “Computing the minimum distance between two Bézier curves,” J. Comput. Appl. Math., vol. 229, no. 1, pp. 294–301, Jul. 2009, doi: 10.1016/j.cam.2008.10.050.

N. Otsu, “threshold selection method from gray-level histograms.,” IEEE Trans Syst Man Cybern, vol. SMC-9, no. 1, pp. 62–66, 1979, doi: 10.1109/tsmc.1979.4310076.




DOI: http://dx.doi.org/10.24042/ijecs.v1i1.9215

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