OPTIMIZATION OF DISTRIBUTED GENERATION FOR POWER LOSS  AND PHASE IMBALANCE REDUCTION IN  UNBALANCED THREE-PHASE DISTRIBUTION NETWORKS

Tôn Ngọc Triều

doi:10.34238/tnu-jst.13206

OPTIMIZATION OF DISTRIBUTED GENERATION FOR POWER LOSS AND PHASE IMBALANCE REDUCTION IN UNBALANCED THREE-PHASE DISTRIBUTION NETWORKS

About this article

Received: 10/07/25 Revised: 26/11/25 Published: 26/11/25

Authors

Ton Ngoc Trieu , Thu Duc College of Technology

Abstract

This paper presents a multi-objective optimization approach for planning distributed generation in unbalanced three-phase distribution networks. The proposed model considers real world asymmetries, including unequal line impedances, uneven load distribution, and generation units connected to single or two phases. The objective is to minimize active power losses, voltage deviations, and phase imbalance. The Weighted Interaction Optimizer is employed to solve the nonlinear and mixed-variable optimization problem. The method is tested on two benchmark power systems with 18-bus and 33-bus. Simulation results show that the proposed approach effectively reduces power losses and improves phase balancing, especially under highly unbalanced operating conditions. The model offers a practical and efficient solution for integrating renewable energy sources into modern distribution networks.

Keywords

Distributed generation; Phase balancing; INFO algorithm; Power loss minimization; Multi-objective optimization

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References

[1] A. Kharrazi, V. Sreeram, and Y. Mishra, “Assessment techniques of the impact of grid-tied rooftop photovoltaic generation on the power quality of low voltage distribution network - A review,” Renew. Sustain. Energy Rev., vol. 120, 2020, Art. no. 109643, doi: 10.1016/j.rser.2019.109643.

[2] B. Poornazaryan, P. Karimyan, G. B. Gharehpetian, and M. Abedi, “Optimal allocation and sizing of DG units considering voltage stability, losses and load variations,” Int. J. Electr. Power Energy Syst., vol. 79, pp. 42–52, 2016, doi: 10.1016/j.ijepes.2015.12.034.

[3] K. Ma, L. Fang, and W. Kong, “Review of distribution network phase unbalance: Scale, causes, consequences, solutions, and future research directions,” CSEE J. Power Energy Syst., vol. 6, no. 3, pp. 479–488, 2020, doi: 10.17775/CSEEJPES.2019.03280.

[4] E. Grover-Silva, R. Girard, and G. Kariniotakis, “Optimal sizing and placement of distribution grid connected battery systems through an SOCP optimal power flow algorithm,” Appl. Energy, vol. 219, pp. 385–393, 2018, doi: 10.1016/j.apenergy.2017.09.008.

[5] M. J. E. Alam, K. M. Muttaqi, and D. Sutanto, “A three-phase power flow approach for integrated 3-wire MV and 4-wire multigrounded LV networks with rooftop solar PV,” IEEE Trans. Power Syst., vol. 28, no. 2, pp. 1728–1737, 2013, doi: 10.1109/TPWRS.2012.2222940.

[6] I. Ahmadianfar, A. A. Heidari, S. Noshadian, H. Chen, and A. H. Gandomi, “INFO: An efficient optimization algorithm based on weighted mean of vectors,” Expert Syst. Appl., vol. 195, no. January, 2022, doi: 10.1016/j.eswa.2022.116516.

[7] M. M. Ansari, C. Guo, M. S. Shaikh, N. Chopra, I. Haq, and L. Shen, “Planning for Distribution System with Grey Wolf Optimization Method,” J. Electr. Eng. Technol., vol. 15, no. 4, pp. 1485–1499, 2020, doi: 10.1007/s42835-020-00419-4.

[8] J. Zhang, G. Zhang, Y. Huang, and M. Kong, “A Novel Enhanced Arithmetic Optimization Algorithm for Global Optimization,” IEEE Access, vol. 10, no. July, pp. 75040–75062, 2022, doi: 10.1109/ACCESS.2022.3190481.

[9] A. Faramarzi, M. Heidarinejad, S. Mirjalili, and A. H. Gandomi, “Marine Predators Algorithm: A nature-inspired metaheuristic,” Expert Syst. Appl., vol. 152, 2020, doi: 10.1016/j.eswa.2020.113377.

[10] L. Abualigah, M. A. Elaziz, P. Sumari, Z. W. Geem, and A. H. Gandomi, “Reptile Search Algorithm (RSA): A nature-inspired meta-heuristic optimizer,” Expert Syst. Appl., vol. 27, 2023, doi: 10.1016/j.eswa.2021.116158.

[11] M. N. Morshidi, I. Musirin, S. R. A. Rahim, M. R. Adzman, and M. H. Hussain, “Whale optimization algorithm based technique for distributed generation installation in distribution system,” Bull. Electr. Eng. Informatics, vol. 7, no. 3, pp. 442–449, 2018, doi: 10.11591/eei.v7i3.1276.

[12] J. M. Rupa and S. Ganesh, “Power Flow Analysis for Radial Distribution System Using Backward / Forward Sweep Method,” Int. J. Electr. Comput. Energ. Electron. Commun. Eng., vol. 8, no. 10, pp. 1537–1541, 2014, doi: 10.1999/1307-6892/10000126.

[13] N. T. Ton, A. V. Truong, and T. P. Vu, “Applying improved Backward/Forward method in optimizing power distribution connected DG,” Sci. Technol. Dev. J. – Eng. Technol., vol. 2, no. 2, pp. 105–115, 2019, doi: 10.15419/stdjet.v2i2.499.

[14] K. Taleski and D. Rajicid, “Distribution Network Reconfiguration For Energy Loss Reduction,” IEEE Trans. Power Syst., vol. 12, no. 1, pp. 398–406, 1997, doi: 10.1109/59.575733.

[15] M. E. Baran and F. F. Wu, “Network reconfiguration in distribution systems for loss reduction and load balancing,” Power Deliv. IEEE Trans., vol. 4, no. 2, pp. 1401–1407, 1989, doi: 10.1109/61.25627.

DOI: https://doi.org/10.34238/tnu-jst.13206

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