| A Comprehensive Review of Distributed Generator Allocation in Smart Distribution Systems: Optimization Strategies and Reconfiguration Synergy |
| Paper ID : 1052-EFESCM2025 |
| Authors |
|
Mohamed Khalid Kassem *1, Adel Elsamay2, Rasha Elazab2, Abdelazim Salem3 1October 6 University, Faculty of Engineering 2Electrical Power and Machines Department, Helwan University, Cairo, Egypt 3Electrical Engineering Department, October 6 University, Giza, , Egypt |
| Abstract |
| The integration of Distributed Generators (DGs) into modern power distribution systems offers significant benefits in terms of loss reduction, voltage profile enhancement, and reliability improvement. However, these benefits are heavily dependent on the optimal allocation and sizing of DG units. This paper provides a comprehensive review 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); Metaheuristic Optimization; Voltage Profile; Loss Minimization; Coordinated Control; Renewable Energy Integration. |
| Status: Accepted |
