Study of Technical and Non-technical Factors in Energy Consumption on 20 kV Distribution Networks

Mikael Abimanyu Putra Pamungkas, Dwi Priharto, Hari Putranto

Abstract


This research aimed to find the technical and non-technical losses that occurred on the 20 kV Tawangrejo Feeder network by calculating the electricity losses after measurement and the calculated losses, made an application to calculate the losses, and determined the improvement alternative from the suitable electricity losses. Based on the data analysis, the conclusions were: Tawangrejo Feeder used mesh configuration with a three-phase four-wire construction model. The values of power and energy losses in total, technical, and non-technical were fluctuating, depended on the current value that was sent from the primary substation to the load. This power loss calculation application had a high accuracy because the error occurred at a maximum of 0.0021%. The most effective power loss improvement was replacing the conductor duct that reduces 56% of power and energy losses.

Full Text:

PDF

References


H. Cui and K. Zhou, “Industrial power load scheduling considering demand response,” J. Clean. Prod., vol. 204, pp. 447–460, Dec. 2018, doi: 10.1016/j.jclepro.2018.08.270.

L. M. Korunović, A. S. Jović, and S. Z. Djokic, “Measurement-based evaluation of static load characteristics of demands in administrative buildings,” Int. J. Electr. Power Energy Syst., vol. 118, p. 105782, Jun. 2020, doi: 10.1016/j.ijepes.2019.105782.

M. C. Carnero and A. Gómez, “Maintenance strategy selection in electric power distribution systems,” Energy, vol. 129, pp. 255–272, Jun. 2017, doi: 10.1016/j.energy.2017.04.100.

A. M. Angelini, “Production, Transmission, Storage and Distribution of Electric Power an Integrated System,” in Studies in Environmental Science, vol. 16, Elsevier, 1982, pp. 155–194.

K. Chandram, N. Subrahmanyam, and M. Sydulu, “Equal embedded algorithm for economic load dispatch problem with transmission losses,” Int. J. Electr. Power Energy Syst., vol. 33, no. 3, pp. 500–507, Mar. 2011, doi: 10.1016/j.ijepes.2010.12.002.

L. Shen, Z. Li, and T. Ma, “Analysis of the power loss and quantification of the energy distribution in PV module,” Appl. Energy, vol. 260, p. 114333, Feb. 2020, doi: 10.1016/j.apenergy.2019.114333.

N. E. Mohammad Rozali et al., “Peak-off-peak load shifting for optimal storage sizing in hybrid power systems using Power Pinch Analysis considering energy losses,” Energy, vol. 156, pp. 299–310, Aug. 2018, doi: 10.1016/j.energy.2018.05.020.

A. Grange, A. Marrel, J. B. Droin, F. Bertrand, O. Boutin, and J. H. Ferrasse, “Loss of off-site power transient analysis for a sodium-cooled fast reactor equipped with a gas power conversion system and preliminary optimisation of its operation,” Nucl. Eng. Des., vol. 355, p. 110315, Dec. 2019, doi: 10.1016/j.nucengdes.2019.110315.

F. S. Abu-Mouti and M. E. El-Hawary, “Optimal Distributed Generation Allocation and Sizing in Distribution Systems via Artificial Bee Colony Algorithm,” IEEE Trans. Power Deliv., vol. 26, no. 4, pp. 2090–2101, Oct. 2011, doi: 10.1109/TPWRD.2011.2158246.

N. Gupta, A. Swarnkar, and K. R. Niazi, “Distribution network reconfiguration for power quality and reliability improvement using Genetic Algorithms,” Int. J. Electr. Power Energy Syst., vol. 54, pp. 664–671, Jan. 2014, doi: 10.1016/j.ijepes.2013.08.016.

L. Geng, Z. Lu, L. He, J. Zhang, X. Li, and X. Guo, “Smart charging management system for electric vehicles in coupled transportation and power distribution systems,” Energy, vol. 189, p. 116275, Dec. 2019, doi: 10.1016/j.energy.2019.116275.

H. L. Adharapurapu and R. Bhimasingu, “A novel algorithm for improving the differential protection of power transmission system,” Electr. Power Syst. Res., vol. 181, p. 106183, Apr. 2020, doi: 10.1016/j.epsr.2019.106183.




DOI: http://dx.doi.org/10.17977/um049v1i2p1-6

Refbacks

  • There are currently no refbacks.


Frontier Energy System and Power Engineering (FESPE), e-ISSN: 2720-9598

Flag Counter

View My Stats