A Comprehensive Study of Distributed Generators Connection with Smart Distribution Networks: Optimization Strategies and Reconfiguration Synergy
salem, A., Kassem, M., Elsmahy, A., Elazab, R. (2025). A Comprehensive Study of Distributed Generators Connection with Smart Distribution Networks: Optimization Strategies and Reconfiguration Synergy. EKB Journal Management System, 2(2), 45-53. doi: 10.21608/ijeasou.2025.387614.1051
abdelazim mohamed salem; mohamed Kassem; Adel Elsmahy; Rasha Elazab. "A Comprehensive Study of Distributed Generators Connection with Smart Distribution Networks: Optimization Strategies and Reconfiguration Synergy". EKB Journal Management System, 2, 2, 2025, 45-53. doi: 10.21608/ijeasou.2025.387614.1051
salem, A., Kassem, M., Elsmahy, A., Elazab, R. (2025). 'A Comprehensive Study of Distributed Generators Connection with Smart Distribution Networks: Optimization Strategies and Reconfiguration Synergy', EKB Journal Management System, 2(2), pp. 45-53. doi: 10.21608/ijeasou.2025.387614.1051
salem, A., Kassem, M., Elsmahy, A., Elazab, R. A Comprehensive Study of Distributed Generators Connection with Smart Distribution Networks: Optimization Strategies and Reconfiguration Synergy. EKB Journal Management System, 2025; 2(2): 45-53. doi: 10.21608/ijeasou.2025.387614.1051

A Comprehensive Study of Distributed Generators Connection with Smart Distribution Networks: Optimization Strategies and Reconfiguration Synergy

International Journal of Engineering and Applied Sciences-October 6 University
Article 5, Volume 2, Issue 2, July 2025, Page 45-53  XML PDF (410 K)
Document Type: Review Article
DOI: 10.21608/ijeasou.2025.387614.1051
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Authors
abdelazim mohamed salem email 1; mohamed Kassem2; Adel Elsmahy3; Rasha Elazab3
1department of electrical engineering, faculty of engineering, october 6 university
2October 6university, Faculty of Engineering
3Helwan University, Faculty of Engineering
Abstract
Distributed Generators (DGs) connected to modern power distribution systems offer significant benefits such as minimizing the power losses, and improving the voltage level on network buses, so the systems become more reliable. However, these benefits are heavily dependent on the best selection of placement and sizing of DG sources. This article provides a wide-ranging study of methodologies for DG placement and sizing, with a focus on both classical and intelligent optimization techniques including Genetic Algorithms (GA), Particle Swarm Optimization (PSO), Grey Wolf Optimizer (GWO), and hybrid approaches. Furthermore, the study highlights the role of power flow algorithms—both node-based and branch-based, accurately modeling DG behavior in distribution systems. Special emphasis is placed on the coordinated integration of DGs with Distribution Network Reconfiguration (DNR), a critical smart grid function that enables dynamic topological adjustments to minimize power losses and restore service during contingencies. Through a structured comparison of literature, performance metrics, and algorithmic approaches, the paper identifies gaps and emerging trends that are essential for future research and real-world implementation in smart and sustainable power networks.
Keywords
Distributed Generation (DG); Optimal Placement; Power Flow Algorithms; Smart Grid; Distribution Network Reconfiguration (DNR)
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