Minimizing Power Losses and Improving Voltage Profile Based on the Integration of Distributed Generation Units
Corressponding author's email:
pham.d.thai@cljoc.com.vnDOI:
https://doi.org/10.54644/jte.2025.1856Keywords:
Salp swarm algorithm, Voltage profile, Total power loss, Branch current, Optimization algorithmAbstract
In this paper, an efficient optimization algorithm with the high stability and good convergence which was inspired by the intelligent movement of salp species in nature for finding food source, called salp swarm algorithm (SSA). This method is introduced for determining the optimal installation placement and capacity of grid-connected distributed generation units (DGs) to minimize power losses in the system, improve node voltage and reduce congestion on distribution lines. The obtained results from the simulation by SSA are shown to be superior to other compared algorithms such as particle swarm optimization (PSO) and artificial bee colony (ABC). In addition, this study also demonstrated the great benefits of integrating DGs in the distribution grid through cutting total power loss by up to 52.18%, enhancing node voltage from [0.8713, 1.00] (p.u) to [0.9627, 1.00] (p.u) and reducing the maximum branch current by up to 32.59% in the large-scale distribution system of the IEEE 85-node.
Downloads: 0
References
A. Eid, S. Kamel, A. Korashy, and T. Khurshaid, “An enhanced artificial ecosystem-based optimization for optimal allocation of multiple distributed generations,” IEEE Access, vol. 8, pp. 178493-178513, 2020. DOI: https://doi.org/10.1109/ACCESS.2020.3027654
T. H. B. Huy, D. N. Vo, K. H. Truong, and T. V. Tran, “Optimal distributed generation placement in radial distribution networks using enhanced search group algorithm,” IEEE Access, vol. 11, pp. 103288-103305, 2023. DOI: https://doi.org/10.1109/ACCESS.2023.3316725
S. A. Adegoke, Y. Sun, A. S. Adegoke, and D. Ojeniyi, “Optimal placement of distributed generation to minimize power loss and improve voltage stability,” Heliyon, vol. 10, no. 21, e39298, 2024. DOI: https://doi.org/10.1016/j.heliyon.2024.e39298
K. Bhumkittipich and W. Phuangpornpitak, “Optimal placement and sizing of distributed generation for power loss reduction using particle swarm optimization,” Energy procedia, vol. 34, pp. 307-317, 2013. DOI: https://doi.org/10.1016/j.egypro.2013.06.759
K. Mahesh, P. A. Nallagownden, and I. A. Elamvazuthi, “Optimal placement and sizing of DG in distribution system using accelerated PSO for power loss minimization,” In 2015 IEEE conference on energy conversion (CENCON), IEEE, pp. 193-198, Oct. 2015. DOI: https://doi.org/10.1109/CENCON.2015.7409538
S. Angalaeswari and K. Jamuna, “Optimal placement and sizing of real power supporting DG in radial distribution networks,” In 2015 IEEE International WIE Conference on Electrical and Computer Engineering (WIECON-ECE), IEEE, pp. 342-345, Dec. 2015. DOI: https://doi.org/10.1109/WIECON-ECE.2015.7443933
T. O. Ajewole, A. B. Balogun, M. O. Lawal, O. D. Momoh, and A. A. Olawuyi, “A Genetic Algorithm Approach to Optimal Sizing and Placement of Distributed Generation on Nigerian Radial Feeders,” Tanzania Journal of Engineering and Technology, vol. 41, no. 4, pp. 192-204, 2022. DOI: https://doi.org/10.52339/tjet.v41i4.859
I. Pisica, C. Bulac, and M. Eremia, “Optimal distributed generation location and sizing using genetic algorithms,” In 2009 15th International Conference on Intelligent System Applications to Power Systems, IEEE, pp. 1-6, Nov. 2009. DOI: https://doi.org/10.1109/ISAP.2009.5352936
E. A. Al-Ammar, K. Farzana, A. Waqar, M. Aamir, A. U. Haq, M. Zahid, and M. Batool, “ABC algorithm based optimal sizing and placement of DGs in distribution networks considering multiple objectives,” Ain Shams Engineering Journal, vol. 12, no. 1, pp. 697-708, 2021. DOI: https://doi.org/10.1016/j.asej.2020.05.002
R. Deshmukh and A. Kalage, “Optimal placement and sizing of distributed generator in distribution system using artificial bee colony algorithm,” In 2018 IEEE Global Conference on Wireless Computing and Networking (GCWCN), IEEE, pp. 178-181, Nov. 2018. DOI: https://doi.org/10.1109/GCWCN.2018.8668633
S. M. Ismael, S. H. A. Aleem, and A. Y. Abdelaziz, “Optimal sizing and placement of distributed generation in Egyptian radial distribution systems using crow search algorithm,” In 2018 International Conference on Innovative Trends in Computer Engineering (ITCE), IEEE, pp. 332-337, Feb. 2018. DOI: https://doi.org/10.1109/ITCE.2018.8316646
S. Mirjalili, A. H. Gandomi, S. Z. Mirjalili, S. Saremi, H. Faris, and S. M. Mirjalili, “Salp Swarm Algorithm: A bio-inspired optimizer for engineering design problems,” Advances in engineering software, vol. 114, pp. 163-191, 2017. DOI: https://doi.org/10.1016/j.advengsoft.2017.07.002
T. D. Pham and T. T. Nguyen, “Minimize renewable distributed generator costs while achieving high levels of system uniformity and voltage regulation,” Ain Shams Engineering Journal, vol. 15, no. 6, 102720, 2024. DOI: https://doi.org/10.1016/j.asej.2024.102720
A. Augugliaro, L. Dusonchet, S. Favuzza, M. G. Ippolito, and E. R. Sanseverino, “A new backward/forward method for solving radial distribution networks with PV nodes,” Electric Power Systems Research, vol. 78, no. 3, pp. 330-336, 2008. DOI: https://doi.org/10.1016/j.epsr.2007.03.001
M. Q. Duong, T. D. Pham, T. T. Nguyen, A. T. Doan, and V. H. Tran, “Determination of optimal location and sizing of solar photovoltaic distribution generation units in radial distribution systems,” Energies, vol. 12, no. 1, 174, 2019. DOI: https://doi.org/10.3390/en12010174
G. W. Chang and N. C. Chinh, “Coyote optimization algorithm-based approach for strategic planning of photovoltaic distributed generation,” IEEE Access, vol. 8, pp. 36180-36190, 2020. DOI: https://doi.org/10.1109/ACCESS.2020.2975107
O. D. Montoya, W. Gil-González, and J. C. Hernández, “Efficient integration of fixed-step capacitor banks and D-STATCOMs in radial and meshed distribution networks considering daily operation curves,” Energies, vol. 16, no. 8, 3532, 2023. DOI: https://doi.org/10.3390/en16083532
D. Pandey and J. S. Bhadoriya, “Optimal placement & sizing of distributed generation (DG) to minimize active power loss using particle swarm optimization (PSO),” International journal of scientific & technology research, vol. 3, no. 17, 2014.
S. Sajeevan and N. Padmavathy, “Optimal allocation and sizing of distributed generation using artificial bee colony algorithm,” International Research Journal of Engineering and Technology (IRJET), vol. 3, no. 2, pp. 1244-1252, 2016.
Downloads
Published
How to Cite
Issue
Section
Categories
License
Copyright (c) 2025 Journal of Technical Education Science
This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License.
Copyright © JTE.
