Optimization of distributed generation placement in distribution network based on queen honey bee migration algorithm

Alif Dhurrotul Fachriyyah, Aripriharta Aripriharta, Sujito Sujito, Muchamad Wahyu Prasetyo, Muhammad Cahyo Bagaskoro, Norzanah binti Rosmin, Saodah Omar, Gwo Jiun Horng

Abstract

In this research, an optimal distributed generation (DG) placement method for radial distribution systems based on queen honey bee migration (QHBM) and backward forward sweep (BFS) is presented. The suggested approach makes it possible to evaluate DG placement options in terms of branch currents, voltage profiles, and active power losses in a physically consistent manner. DG units are characterized as photovoltaic-based sources operating at unity power factor using an explicit net load formulation at the bus level, ensuring a clear interplay between DG injection and current-based load flows. Throughout the optimization process, a constraint-aware migration technique is employed to explicitly impose voltage limitations with the goal of minimizing overall active power losses while maintaining bus voltage magnitudes within allowable bounds. The proposed method was tested on an IEEE 69-bus radial distribution system to evaluate its performance. The results show that the placement of three DG units with a total installed capacity of approximately 2600 kW at buses 61, 64, and 17 produces a significant improvement in network operation. Under this arrangement, active power losses drop markedly from 224.4419 kW in the base condition to 72.7840 kW, corresponding to a reduction of 67.6 %. At the same time, the lowest bus voltage rises from 0.9104 p.u. to 0.9931 p.u., while voltage levels across the network consistently remain within the allowable range of 0.95–1.05 p.u. The study's findings suggest that QHBM-BFS can be used as a trustworthy and useful method for figuring out where DG should be placed in radial distribution systems.



Keywords


distributed generation; distributed generation placement; power loss minimization; QHBM; radial distribution network; voltage profile.

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References


BPPT, Outlook Energi Indonesia 2020. Jakarta: PPIPE BPPT, 2020.

M. I. Zainal, Z. M. Yasin, and Z. Zakaria, “Network reconfiguration for loss minimization and voltage profile improvement using ant lion optimizer,” in 2017 IEEE Conference on Systems, Process and Control (ICSPC), IEEE, Dec. 2017, pp. 162–167.

Q. K. Mohsin, Xiangning Lin, F. F. M. Flaih, S. M. Dawoud, and M. Kdair, “Optimal placement and capacity of capacitor bank in radial distribution system,” in 2016 International Conference on Energy Efficient Technologies for Sustainability (ICEETS), IEEE, Apr. 2016, pp. 416–423.

S. Ganguly and D. Samajpati, “Distributed generation allocation on radial distribution networks under uncertainties of load and generation using genetic algorithm,” IEEE Trans. Sustain. Energy, vol. 6, no. 3, pp. 688–697, Jul. 2015.

M. C. V. Suresh and E. J. Belwin, “Optimal DG placement for benefit maximization in distribution networks by using Dragonfly algorithm,” Renewables Wind. Water, Sol., vol. 5, no. 1, p. 4, Dec. 2018.

A. Aref, M. Davoudi, F. Razavi, and M. Davoodi, “Optimal DG placement in distribution networks using intelligent systems,” Energy Power Eng., vol. 04, no. 02, pp. 92–98, 2012.

B. Bakhshideh Zad, H. Hasanvand, J. Lobry, and F. Vallée, “Optimal reactive power control of DGs for voltage regulation of MV distribution systems using sensitivity analysis method and PSO algorithm,” Int. J. Electr. Power Energy Syst., vol. 68, pp. 52–60, Jun. 2015.

J. A. Martín García and A. J. Gil Mena, “Optimal distributed generation location and size using a modified teaching–learning based optimization algorithm,” Int. J. Electr. Power Energy Syst., vol. 50, pp. 65–75, Sep. 2013.

P. S. Georgilakis and N. D. Hatziargyriou, “Optimal distributed generation placement in power distribution networks: Models, methods, and future research,” IEEE Trans. Power Syst., vol. 28, no. 3, pp. 3420–3428, Aug. 2013.

G. Srinivasan and S. Visalakshi, “Application of AGPSO for power loss minimization in radial distribution network via DG units, capacitors and NR,” Energy Procedia, vol. 117, pp. 190–200, Jun. 2017.

A. S and V. N Shet, “Distribution network with optimal DG placement and protection impacts: review analysis,” Int. J. Electr. Electron. Eng., vol. 4, no. 2, pp. 11–15, Feb. 2017.

G.-J. Jong, Aripriharta, Hendrick, and G.-J. Horng, “A novel queen honey bee migration (QHBM) algorithm for sink repositioning in wireless sensor network,” Wirel. Pers. Commun., vol. 95, no. 3, pp. 3209–3232, Aug. 2017.

K. H. Wibowo, Aripriharta, I. Fadlika, G. J. Horng, S. Wibawanto, and F. W. Y. Saputra, “A new MPPT based on queen honey bee migration (QHBM) in stand-alone photovoltaic,” in 2019 IEEE International Conference on Automatic Control and Intelligent Systems (I2CACIS), IEEE, Jun. 2019, pp. 123–128.

M. H. Moradi and M. Abedini, “A novel method for optimal DG units capacity and location in microgrids,” Int. J. Electr. Power Energy Syst., vol. 75, pp. 236–244, Feb. 2016.

T. T. Nguyen, “Enhanced sunflower optimization for placement distributed generation in distribution system,” Int. J. Electr. Comput. Eng., vol. 11, no. 1, p. 107, Feb. 2021.

Z. Tan, M. Zeng, and L. Sun, “Optimal placement and sizing of distributed generators based on swarm moth flame optimization,” Front. Energy Res., vol. 9, Apr. 2021.

G. Kalidas Babu and P. V. Ramana rao, “Optimal placement of distributed generation using colliding bodies optimization,” Int. J. Eng. Technol., vol. 7, no. 3.3, p. 168, May 2018.

K. Nadhir, D. Chabane, and B. Tarek, “Firefly algorithm for optimal allocation and sizing of distributed generation in radial distribution system for loss minimization,” in 2013 International Conference on Control, Decision and Information Technologies (CoDIT), IEEE, May 2013, pp. 231–235.

N. Ghosh, S. Sharma, and S. Bhattacharjee, “A load flow based approach for optimum allocation of distributed generation units in the distribution network for voltage improvement and loss minimization,” Int. J. Comput. Appl., vol. 50, no. 15, pp. 15–22, Jul. 2012.

Aripriharta et al., “The performance of a new heuristic approach for tracking maximum power of PV systems,” Appl. Comput. Intell. Soft Comput., vol. 2022, pp. 1–13, Nov. 2022.

D. B. Prakash and C. Lakshminarayana, “Multiple DG placements in distribution system for power loss reduction using PSO algorithm,” Procedia Technol., vol. 25, pp. 785–792, 2016.

T. Hamadneh et al., “Optimal energy management of distributed generation resources in a microgrid under various load and solar irradiance conditions using the artificial bee colony algorithm,” Sci. Rep., vol. 15, no. 1, p. 31097, Aug. 2025.

S. I. Taheri, M. B. C. Salles, and A. B. Nassif, “Distributed energy resource placement considering hosting capacity by combining teaching–learning-based and honey-bee-mating optimisation algorithms,” Appl. Soft Comput., vol. 113, p. 107953, Dec. 2021.

L. H. Thai and T. N. Ton, “Optimizing renewable integration in distribution power systems using an improved artificial bee colony algorithm,” Eng. Technol. Appl. Sci. Res., vol. 15, no. 4, pp. 25270–25274, Aug. 2025.

X. Cai, J. Chen, J. Wu, X. Song, L. Wang, and W. Hu, “Optimization model for distributed generation accommodation capacity based on artificial bee colony algorithm,” in 2024 Boao New Power System International Forum - Power System and New Energy Technology Innovation Forum (NPSIF), IEEE, Dec. 2024, pp. 102–110.

Q. Cao, H. Wang, Z. Hui, and L. Chen, “Optimal location and sizing of multi-resource distributed generator based on multi-objective artificial bee colony algorithm,” Energy Eng., vol. 121, no. 2, pp. 499–521, 2024.

f. durrani, t.-u.- hassan, m. f. tahir, and k. mehmood, “optimal placement and sizing of distributed generation using shuffled artificial bee colony algorithm,” SSRN Electron. J., 2021.

N. T. Linh and P. V. Long, “Optimizing the Location and Capacity of DGs and SOPs in distribution networks using an improved artificial bee colony algorithm,” Eng. Technol. Appl. Sci. Res., vol. 14, no. 4, pp. 15171–15179, Aug. 2024.


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Copyright (c) 2025 Alif Dhurrotul Fachriyyah, Aripriharta Aripriharta, Sujito Sujito, Muchamad Wahyu Prasetyo, Muhammad Cahyo Bagaskoro, Norzanah binti Rosmin, Saodah Omar, Gwo Jiun Horng

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