Distribution feeder reconfiguration and optimal capacitor placement for power loss and voltage profile improvement: a case study of Nekemte distribution system, Ethiopia

Authors

DOI:

https://doi.org/10.20372/star.V15.i3.01

Keywords:

Distribution system, Feeder reconfiguration, Optimal capacitor placement, Power loss minimization, DigSilent Power Factory

Abstract

Distribution systems in developing countries often experience high technical losses and poor voltage profiles due to radial configurations and inadequate reactive power compensation. This study investigates feeder reconfiguration and optimal capacitor placement to minimize losses and improve voltage profiles in the Nekemte distribution system, Ethiopia. We modeled a 45-bus Hospital Feeder with a 5.63 MW peak load in DIgSILENT PowerFactory and evaluated three scenarios: feeder reconfiguration, optimal capacitor placement, and their combined application. The Loss Sensitivity Factor identified candidate buses, while the economic analysis considered energy losses and capacitor investment costs. Feeder reconfiguration reduced active power loss from 0.36 to 0.25 MW (30.5%) and increased average and minimum bus voltages from 0.9347 to 0.9546 pu and 0.900 to 0.936 pu, respectively. Capacitor placement reduced loss to 0.27 MW (25.0%) and increased these voltages to 0.9512 and 0.925 pu. The combined approach achieved the best performance, reducing loss to 0.20 MW (44.4%) and increasing average and minimum voltages to 0.9652 and 0.943 pu, respectively. It achieved annual savings of $52,080 and a payback period of 0.345 years. The contribution is an integrated technical-economic assessment of coordinated reconfiguration and capacitor placement for a practical Ethiopian distribution feeder.

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Author Biographies

Ginbar Ensermu, Department of Electrical and Computer Engineering

Department of Electrical and Computer Engineering, Institute of Technology,

Wollega University, Nekemte, Ethiopia

Roba Mare Yadate, Ethiopian Electric utility

Ethiopian Electric Utility, Nekemte Region, Ethiopia

References

Alharbi, A. M., & Diab, A. a. Z. (2026). Optimal distributed generation allocation considering renewable and load uncertainties. Scientific Reports.16, 22139.

https://doi.org/10.1038/s41598-026-48972-8

Diaaeldin, I., Aleem, S. A., El-Rafei, A., Abdelaziz, A., & Zobaa, A. F. (2019). Optimal Network Reconfiguration in Active Distribution Networks with Soft Open Points and Distributed Generation. Energies, 12(21), 4172.

https://doi.org/10.3390/en12214172

Dzafic, I., Jabr, R. A., Halilovic, E., & Pal, B. C. (2014). A sensitivity approach to model local voltage controllers in distribution networks. IEEE Transactions on Power Systems, 29(3), 1419–1428. https://doi.org/10.1109/tpwrs.2013.2290813

Haider, W., Hassan, S. J. U., Mehdi, A., Hussain, A., Adjayeng, G. O. M., & Kim, C. (2021). Voltage profile enhancement and loss minimization using optimal placement and sizing of distributed generation in reconfigured network. Machines, 9(1), 20.

https://doi.org/10.3390/machines9010020

Jayabarathi, T., Raghunathan, T., Mithulananthan, N., Cherukuri, S., & Sai, G. L. (2024). Enhancement of distribution system performance with reconfiguration, distributed generation and capacitor bank deployment. Heliyon, 10(7), e26343.

https://doi.org/10.1016/j.heliyon.2024.e26343

Junxia, M., Binqing, G., Fuchao, L., & Peidong, D. (2014, October). Study on power loss of distribution network with distributed generation and its reactive power optimization problem. In 2014 International Conference on Power System Technology (pp. 1213-1216). IEEE. https://doi.org/10.1109/POWERCON.2014.6993522.

Muhammad, M. A., Mokhlis, H., Naidu, K., Amin, A., Franco, J. F., & Othman, M. (2020). Distribution Network Planning enhancementvia network reconfiguration and DGINtegration using Dataset approachand Water cycle algorithm. Journal of Modern Power Systems and Clean Energy, 8(1), 86–93.

https://doi.org/10.35833/mpce.2018.000503

Muthukumar, K., & Jayalalitha, S. (2015). Optimal placement and sizing of distributed generators and shunt capacitors for power loss minimization in radial distribution networks using hybrid heuristic search optimization technique. International Journal of Electrical Power & Energy Systems, 78, 299–319. https://doi.org/10.1016/j.ijepes.2015.11.019

Narimani, M. R., Vahed, A. A., Azizipanah‐Abarghooee, R., & Javidsharifi, M. (2013). Enhanced gravitational search algorithm for multi‐objective distribution feeder reconfiguration considering reliability, loss and operational cost. IET Generation Transmission & Distribution, 8(1), 55–69. https://doi.org/10.1049/iet-gtd.2013.0117

Oshiro, M., Tanaka, K., Uehara, A., Senjyu, T., Miyazato, Y., Yona, A., & Funabashi, T. (2010). Optimal voltage control in distribution systems with coordination of distribution installations. International Journal of Electrical Power & Energy Systems, 32(10), 1125–1134.

https://doi.org/10.1016/j.ijepes.2010.06.010

Purlu, M., & Turkay, B. E. (2022). Optimal allocation of renewable distributed generations using heuristic methods to minimize annual energy losses and voltage deviation index. IEEE Access, 10, 21455–21474. https://doi.org/10.1109/access.2022.3153042

Saadat, H. (1999). Power system analysis. CERN Document Server (European Organization for Nuclear Research).

http://cds.cern.ch/record/419871

Sallam, A. A., & Malik, O. P. (2011). Electric distribution systems.

https://doi.org/10.1002/9780470943854

Tahir, M. J., Rasheed, M. B., & Rahmat, M. K. (2022). Optimal placement of capacitors in radial distribution grids via enhanced modified particle swarm optimization. Energies, 15(7), 2452.

https://doi.org/10.3390/en15072452

Vulasala, G., Sirigiri, S., & Thiruveedula, R. (2009). Feeder reconfiguration for loss reduction in unbalanced distribution system using genetic algorithm. Zenodo (CERN European Organization for Nuclear Research). https://doi.org/10.5281/zenodo.1084678

Zhao, J., Wang, H., Wu, Q., Hatziargyriou, N. D., & Shen, F. (2020). Distributed Risk-Limiting Load Restoration for wind Power penetrated bulk system. IEEE Transactions on Power Systems, 35(5), 3516–3528.

https://doi.org/10.1109/tpwrs.2020.2973429

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Published

30.09.2026

How to Cite

Ginbar Ensermu, & Roba Mare Yadate. (2026). Distribution feeder reconfiguration and optimal capacitor placement for power loss and voltage profile improvement: a case study of Nekemte distribution system, Ethiopia. Science, Technology and Arts Research Journal, 15(3), 01–10. https://doi.org/10.20372/star.V15.i3.01

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Section

Original Research

Categories

Received 2026-05-30
Accepted 2026-09-04
Published 2026-09-30

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