Optimal Placement and Sizing of Distributed Generation and Shunt Capacitors in Distribution Networks
https://doi.org/10.24223/1999-5555-2025-18-3-212-220
Abstract
Currently, electric power companies place significant emphasis on the optimal placement and sizing of Distributed Generation (DG) units and Shunt Capacitors (SC) in radial distribution networks. In this study, the Reconfiguration Method (RM) is employed to determine optimal locations for a single DG unit and a single SC. Additionally, the Loss Sensitivity Factor (LSF) technique is applied to identify suitable installation sites for multiple DG units and SCs within the distribution network. The Grey Wolf Optimizer (GWO) and Ant Lion Optimizer (ALO) algorithms are utilized to determine the optimal sizes of the DG and SC units. The main objective of this work is to minimize active power losses in the distribution network, enhance voltage profiles, and improve the voltage stability index through optimal DG/SC placement and sizing, subject to equality and inequality constraints. An IEEE 33-bus radial distribution system was used to evaluate the proposed algorithms. The simulation and analysis of various scenarios showed that integrating DG units and SCs significantly reduces power losses and improves voltage profiles across all buses of the network.
About the Authors
A. M. Al-HadeethiRussian Federation
6, Miklukho-Maklaya str., Moscow, 117198.
B. H. Al Igeb
Russian Federation
6, Miklukho-Maklaya str., Moscow, 117198.
P. P. Oschepkov
Russian Federation
6, Miklukho-Maklaya str., Moscow, 117198.
Yu. A. Radin
Russian Federation
6, Miklukho-Maklaya str., Moscow, 117198.
References
1. Optimal allocation of distributed generators DG based Manta Ray Foraging Optimization algorithm (MRFO). M. G. Hemeida, A. Ahmed, A. A. Mohamed, S. Alkhalaf, A. M. El-dine, Ain Shams. Engineering Journal 2021; 12(1): 609 – 619. DOI: 10.1016/j.asej.2020.07.009.
2. Sambaiah K. S. A Review on Optimal Allocation and Sizing Techniques for DG in Distribution Systems, International Journal of Electrical Power & Energy Systems 2018; 8(3).
3. Simultaneous Distribution Network Reconfiguration and Optimal Allocation of Renewable-Based Distributed Generators and Shunt Capacitors under Uncertain Conditions. M. M. Sayed, M. Y. Mahdy, S. H. Aleem, H. K. Youssef, T. A. Boghdady, Electric Power Systems Research 2022.
4. Optimal Allocation of Multiple Types of Distributed Generations in Radial Distribution Systems Using a Hybrid Technique. A. Selim, S. Kamel, A. A. Mohamed, E. E. Elattar, International Journal of Electrical Power & Energy Systems 2021.
5. Investigation Study of Injecting Numerous DGs in IEEE 69-bus Radial Networks Using Enhanced PSO and Ant Lion Optimization Algorithms. A. R. Ali, A. A. Altahir, S. Alwash, M. Al-Kaabi, 2023 3rd International Conference on Electrical Machines and Drives (ICEMD) 2023: 1–7. DOI: 10.1109/ICEMD60816.2023.10429267.
6. Grey Wolf Optimizer Algorithm to Solve Optimal Placement and Sizing of the Distributed Generation Sources in Distribution Radial Networks. B. Hussein, M. Al-kaabi, P. P. Oshchepkov, M. Muhssin, 2023 International Symposium on Fundamentals of Electrical Engineering (ISFEE) 2023: 1–6. DOI: 10.1109/ISFEE60884.2023.10637122.
7. Al Hasheme L. T., Al-Kaabi M. Optimal allocation of DG for radial distribution network using Gray Wolf Optimizer. Energy Reports 2024; 86(3): 372 – 390.
8. Economic Dispatch Using Harris Hawks Optimization with Renewable Energy Source and Capacitor Shunt. A. Naeem, A. Saheb, D. Nazarpour, M. Al-kaabi, 2024 16th International Conference on Electronics, Computers and Artificial Intelligence (ECAI) 2024: 1 – 8. DOI: 10.1109/ECAI61503.2024.10607530.
9. Lone S. J., Lone S. A. Optimal location and sizing of distributed generation for distribution systems: An improved analytical technique. International Journal of Green Energy 2024; 21(2): 682 – 700.
10. Mirna Y. A., Eman B. Hybrid Siting and Sizing of Distributed Generators and Shunt Capacitors with System Reconfiguration using Wild Horse Optimizer. Journal of Advanced Research in Applied Sciences and Engineering Technology 2024; 38(2): 196 – 213.
11. Assiri A. S. Ant Lion Optimization: Variants, Hybrids, and Applications. IEEE Access 2020; 8. DOI: 10.1109/ACCESS.2020.2990338.
12. Sahoo N. C., Prasad K. A fuzzy genetic approach for network reconfiguration to enhance voltage stability in radial distribution systems. Energy Conversion and Management 2006; 47: 3288 – 3306. DOI: 10.1016/j.enconman.2006.01.004.
13. Kefayat M., Ara A. L., Niaki S. A. A hybrid of ant colony optimization and artificial bee colony algorithm for probabilistic optimal placement and sizing of distributed energy resources. // Applied Soft Computing 2015; 92: 149 – 161.
Review
For citations:
Al-Hadeethi A.M., Al Igeb B.H., Oschepkov P.P., Radin Yu.A. Optimal Placement and Sizing of Distributed Generation and Shunt Capacitors in Distribution Networks. Safety and Reliability of Power Industry. 2025;18(3):212-220. (In Russ.) https://doi.org/10.24223/1999-5555-2025-18-3-212-220


























