Optimizing Power Losses and Voltage Profiles through Simultaneous Distribution Network Reconfiguration and DG Placement Using a Hybrid CDOA-PSO Algorithm
DOI:
https://doi.org/10.32628/IJSRSET25122157Keywords:
Collective Decision-based Optimization Algorithm (CDOA), Distributed generation allocation, Network reconfiguration, Particle Swarm Optimization (PSO)Abstract
The optimal utilization of distribution networks through network reconfiguration has become increasingly critical in modern power systems, primarily due to the extensive integration of Distributed Generation (DG) resources. Strategically positioning and scaling distributed generation optimizes the equilibrium of energy provision and consumption, diminishes electrical losses, and elevates the voltage profile. Previous studies have predominantly concentrated on either DG optimization or distribution network reconfiguration, with limited research conducted on their simultaneous application. Therefore, this paper employs three meta-heuristic algorithms: the Collective Decision-Based Optimization Algorithm (CDOA), Particle Swarm Optimization (PSO), and a hybrid optimization algorithm termed CDOA-PSO, to concurrently address network reconfiguration alongside the optimal placement and sizing of DG. The suggested technique is applied to a 33-bus radial distribution network as per IEEE standards, utilizing MATLAB for execution. To assess the efficacy of the technique, six unique scenarios have been utilized. The results clearly demonstrate a substantial enhancement in the voltage profile and a decrease in power losses with the hybrid algorithm (CDOA-PSO) compared to both CDOA and PSO.
Downloads
References
M. Mahdavi, A. Awaafo, M. Dini, S. Moradi, F. Jurado, and D. Vera, "Simultaneous feeder reconfiguration and distributed generation planning in the presence of voltage-dependent and variable loads," Electric Power Systems Research, vol. 235, p. 110783, 2024, doi: https://doi.org/10.1016/j.epsr.2024.110783.
A. Abdollahi Chirani and A. Karami, "Investigation of the Impact of SSSC-Based FLC on the Stability of Power Systems Connected to Wind Farms," International Transactions on Electrical Energy Systems, vol. 2024, p. 1074029, 2024, doi: https://doi.org/10.1155/2024/1074029.
A. Abdollahi Chirani and A. Karami, "Investigation of the impact of SSSC on the stability of the power system connected to wind turbines based on SCIG and DFIG," Journal of Renewable and New Energy, pp. 78-87, 2024, doi: https://doi.org/10.22034/jrenew.2024.196245.
T. E. Gümüş, S. Emiroglu, and M. A. Yalcin, "Optimal DG allocation and sizing in distribution systems with Thevenin based impedance stability index," International Journal of Electrical Power & Energy Systems, vol. 144, p. 108555, 2023, doi: https://doi.org/10.1016/j.ijepes.2022.108555.
M. Rahimipour Behbahani and A. Jalilian, "Optimal operation of soft open point devices and distribution network reconfiguration in a harmonically polluted distribution network," Electric Power Systems Research, vol. 237, p. 110967, 2024, doi: https://doi.org/10.1016/j.epsr.2024.110967.
M. Zubair Iftikhar, K. Imran, M. Imran Akbar, and S. Ghafoor, "Optimal distributed generators allocation with various load models under load growth using a meta-heuristic technique," Renewable Energy Focus, vol. 49, p. 100550, 2024, doi: https://doi.org/10.1016/j.ref.2024.100550.
M. T. Khan et al., "Optimal Placement of multiple Distributed Generators using a Novel Voltage Stability Indicator employing Arithmetic Optimization Algorithm," Computers and Electrical Engineering, vol. 110, p. 108853, 2023, doi: https://doi.org/10.1016/j.compeleceng.2023.108853.
H. Gao, R. Diao, Y. Zhong, R. Zeng, Q. Wu, and S. Jin, "Optimal allocation of distributed generation in active distribution power network considering HELM-based stability index," International Journal of Electrical Power & Energy Systems, vol. 155, p. 109508, 2024, doi: https://doi.org/10.1016/j.ijepes.2023.109508.
M. Abdelaziz, "Distribution network reconfiguration using a genetic algorithm with varying population size," Electric Power Systems Research, vol. 142, pp. 9-11, 2017/01/01/ 2017, doi: https://doi.org/10.1016/j.epsr.2016.08.026.
W. Guan, Y. Tan, H. Zhang, and J. Song, "Distribution system feeder reconfiguration considering different model of DG sources," International Journal of Electrical Power & Energy Systems, vol. 68, pp. 210-221, 2015, doi: https://doi.org/10.1016/j.ijepes.2014.12.023.
A. Zidan and E. F. El-Saadany, "Distribution system reconfiguration for energy loss reduction considering the variability of load and local renewable generation," Energy, vol. 59, pp. 698-707, 2013, doi: https://doi.org/10.1016/j.energy.2013.06.061.
M. Mahdavi, H. H. Alhelou, N. D. Hatziargyriou, and F. Jurado, "Reconfiguration of Electric Power Distribution Systems: Comprehensive Review and Classification," IEEE Access, vol. 9, pp. 118502-118527, 2021, doi: 10.1109/ACCESS.2021.3107475.
N. Nacar Cikan and M. Cikan, "Reconfiguration of 123-bus unbalanced power distribution network analysis by considering minimization of current & voltage unbalanced indexes and power loss," International Journal of Electrical Power & Energy Systems, vol. 157, p. 109796, 2024, doi: https://doi.org/10.1016/j.ijepes.2024.109796.
D. Anteneh and B. Khan, "Reliability enhancement of distribution substation by using network reconfiguration a case study at debre berhan distribution substation," Energy, & Environment, vol. 4, no. 2, p. 33, 2019.
M. R. Babu, C. V. Kumar, and S. Anitha, "Simultaneous reconfiguration and optimal capacitor placement using adaptive whale optimization algorithm for radial distribution system," Journal of Electrical Engineering & Technology, vol. 16, pp. 181-190, 2021.
A. Hadaeghi and A. A. Chirani, "Distribution Networks Reconfiguration for Power Loss Reduction and Voltage Profile Improvement Using Hybrid TLBO-BH Algorithm," Iraqi Journal for Electrical and Electronic Engineering IJEEE, 2022, doi: https://doi.org/10.37917/ijeee.19.1.2.
F. S. Abu-Mouti and M. E. El-Hawary, "Optimal Distributed Generation Allocation and Sizing in Distribution Systems via Artificial Bee Colony Algorithm," IEEE Transactions on Power Delivery, vol. 26, no. 4, pp. 2090-2101, 2011, doi: 10.1109/TPWRD.2011.2158246.
A. Soroudi and M. Ehsan, "Efficient immune-GA method for DNOs in sizing and placement of distributed generation units," European Transactions on Electrical Power, vol. 21, no. 3, pp. 1361-1375, 2011, doi: https://doi.org/10.1002/etep.501.
H. P. C, K. Subbaramaiah, and P. Sujatha, "Optimal DG unit placement in distribution networks by multi-objective whale optimization algorithm & its techno-economic analysis," Electric Power Systems Research, vol. 214, p. 108869, 2023, doi: https://doi.org/10.1016/j.epsr.2022.108869.
D. B. Prakash and C. Lakshminarayana, "Multiple DG placements in radial distribution system for multi objectives using Whale Optimization Algorithm," Alexandria Engineering Journal, vol. 57, no. 4, pp. 2797-2806, 2018, doi: https://doi.org/10.1016/j.aej.2017.11.003.
V. H. M. Quezada, J. R. Abbad, and T. G. S. Roman, "Assessment of energy distribution losses for increasing penetration of distributed generation," IEEE Transactions on Power Systems, vol. 21, no. 2, pp. 533-540, 2006, doi: 10.1109/TPWRS.2006.873115.
M. Attar, O. Homaee, H. Falaghi, and P. Siano, "A novel strategy for optimal placement of locally controlled voltage regulators in traditional distribution systems," International Journal of Electrical Power & Energy Systems, vol. 96, pp. 11-22, 2018, doi: https://doi.org/10.1016/j.ijepes.2017.09.028.
Y. M. Atwa, E. F. El-Saadany, M. M. A. Salama, and R. Seethapathy, "Optimal Renewable Resources Mix for Distribution System Energy Loss Minimization," IEEE Transactions on Power Systems, vol. 25, no. 1, pp. 360-370, 2010, doi: 10.1109/TPWRS.2009.2030276.
A. Rathore and N. P. Patidar, "Optimal sizing and allocation of renewable based distribution generation with gravity energy storage considering stochastic nature using particle swarm optimization in radial distribution network," Journal of Energy Storage, vol. 35, p. 102282, 2021, doi: https://doi.org/10.1016/j.est.2021.102282.
M. Pesaran H.A, M. Nazari-Heris, B. Mohammadi-Ivatloo, and H. Seyedi, "A hybrid genetic particle swarm optimization for distributed generation allocation in power distribution networks," Energy, vol. 209, p. 118218, 2020, doi: https://doi.org/10.1016/j.energy.2020.118218.
S. Essallah and A. Khedher, "Optimization of distribution system operation by network reconfiguration and DG integration using MPSO algorithm," Renewable Energy Focus, vol. 34, pp. 37-46, 2020, doi: https://doi.org/10.1016/j.ref.2020.04.002.
A. Abdollahi Chirani, "Identification of the optimal location and capacity of STATCOM using Grey Wolf Optimizer," Majlesi Journal of Electrical Engineering, vol. 18, no. 3, pp. 1-13, 2024, doi: https://doi.org/10.57647/j.mjee.2024.180339.
S. Ouali and A. Cherkaoui, "An Improved Backward/Forward Sweep Power Flow Method Based on a New Network Information Organization for Radial Distribution Systems," Journal of Electrical and Computer Engineering, vol. 2020, no. 1, p. 5643410, 2020, doi: https://doi.org/10.1155/2020/5643410.
P. He, Q. Fang, H. Jin, Y. Ji, Z. Gong, and J. Dong, "Coordinated design of PSS and STATCOM-POD based on the GA-PSO algorithm to improve the stability of wind-PV-thermal-bundled power system," International Journal of Electrical Power & Energy Systems, vol. 141, p. 108208, 2022/10/01/ 2022, doi: https://doi.org/10.1016/j.ijepes.2022.108208.
J. Bhukya and V. Mahajan, "Optimization of controllers parameters for damping local area oscillation to enhance the stability of an interconnected system with wind farm," International Journal of Electrical Power & Energy Systems, vol. 119, p. 105877, 2020/07/01/ 2020, doi: https://doi.org/10.1016/j.ijepes.2020.105877.
I. N. Muisyo, C. M. Muriithi, and S. I. Kamau, "Enhancing low voltage ride through capability of grid connected DFIG based WECS using WCA-PSO tuned STATCOM controller," Heliyon, vol. 8, no. 8, p. e09999, 2022/08/01/ 2022, doi: https://doi.org/10.1016/j.heliyon.2022.e09999.
M. E. Barrios Aguilar, D. V. Coury, R. Reginatto, and R. M. Monaro, "Multi-objective PSO applied to PI control of DFIG wind turbine under electrical fault conditions," Electric Power Systems Research, vol. 180, p. 106081, 2020/03/01/ 2020, doi: https://doi.org/10.1016/j.epsr.2019.106081.
M. A. Hossain, H. R. Pota, S. Squartini, and A. F. Abdou, "Modified PSO algorithm for real-time energy management in grid-connected microgrids," Renewable Energy, vol. 136, pp. 746-757, 2019/06/01/ 2019, doi: https://doi.org/10.1016/j.renene.2019.01.005.
B. Venkatesh and R. Ranjan, "Optimal radial distribution system reconfiguration using fuzzy adaptation of evolutionary programming," International Journal of Electrical Power & Energy Systems, vol. 25, no. 10, pp. 775-780, 2003, doi: https://doi.org/10.1016/S0142-0615(03)00046-2.
A. Abdollahi Chirani, "Network reconfiguration and optimal distributed generations allocation with whale optimizer algorithm," Majlesi Journal of Electrical Engineering, vol. 19, no. 1, pp. 1-12, 2025, doi: https://doi.org/10.57647/j.mjee.2025.1901.04.
G. Namachivayam, C. Sankaralingam, S. K. Perumal, and S. T. Devanathan, "Reconfiguration and Capacitor Placement of Radial Distribution Systems by Modified Flower Pollination Algorithm," Electric Power Components and Systems, vol. 44, no. 13, pp. 1492-1502, 2016/08/08 2016, doi: 10.1080/15325008.2016.1172281.
H. K. Pujari and M. Rudramoorthy, "Grey wolf optimisation algorithm for solving distribution network reconfiguration considering distributed generators simultaneously," International Journal of Sustainable Energy, vol. 41, no. 11, pp. 2121-2149, 2022/12/01 2022, doi: 10.1080/14786451.2022.2134383.
J. Z. Zhu, "Optimal reconfiguration of electrical distribution network using the refined genetic algorithm," Electric Power Systems Research, vol. 62, no. 1, pp. 37-42, 2002/05/28/ 2002, doi: https://doi.org/10.1016/S0378-7796(02)00041-X.
A. Abdollahi Chirani, "Cuckoo Search Algorithm for Network Reconfiguration and Optimal Capacitor Allocation," Modeling and Simulation in Electrical and Electronics Engineering, vol. 3, no. 2, pp. 37-43, 2023, doi: 10.22075/mseee.2025.34623.1168.
A. El-Fergany, "Optimal allocation of multi-type distributed generators using backtracking search optimization algorithm," International Journal of Electrical Power & Energy Systems, vol. 64, pp. 1197-1205, 2015/01/01/ 2015, doi: https://doi.org/10.1016/j.ijepes.2014.09.020.
S. Arabi Nowdeh et al., "Fuzzy multi-objective placement of renewable energy sources in distribution system with objective of loss reduction and reliability improvement using a novel hybrid method," Applied Soft Computing, vol. 77, pp. 761-779, 2019/04/01/ 2019, doi: https://doi.org/10.1016/j.asoc.2019.02.003.
A. Selim, S. Kamel, A. A. Mohamed, and E. E. Elattar, "Optimal Allocation of Multiple Types of Distributed Generations in Radial Distribution Systems Using a Hybrid Technique," Sustainability, vol. 13, no. 12, p. 6644, 2021. [Online]. Available: https://www.mdpi.com/2071-1050/13/12/6644.
Downloads
Published
Issue
Section
License
Copyright (c) 2025 International Journal of Scientific Research in Science, Engineering and Technology
This work is licensed under a Creative Commons Attribution 4.0 International License.
