Simultaneous Network Reconfiguration and Optimal Allocation of Multiple DGs in Radial Distribution System to Reduce Real Power Loss

Abstract

This work addresses the challenging issue of minimizing actual power loss in radial distribution systems (RDS) by integrating network reconfiguration and multiple distributed generations (DG). A critical survey demonstrates that NR can reduce power losses on its own; however, the implementation process is challenging. While the incorporation of DGs can reduce losses, voltage instability and increased losses can result from poor placement or sizing. Consequently, it is crucial to allocate DGs optimally. The authors propose two modern optimization methods—the Rao-1 algorithm, which lacks metaphors, and the Sine Cosine Algorithm (SCA)—to optimize DG and NR allocation in order to resolve these challenges. This investigation employs Modified Load Flow (MLF) to ascertain the optimal network reconfiguration and loss sensitivity analysis to identify DG. Rao-1 and SCA are employed to size DGs in order to enhance voltage profiles and minimize actual power losses in IEEE 33-bus and 69-bus test systems. In comparison to SCA, Rao-1 enhances efficiency, convergence, voltage profile, and efficiency, particularly when multiple DGs are incorporated with NR. Rao-1’s exceptional performance in both systems is supported by statistical analyses. The proposed approach reduces loss by 74.9% for the IEEE 33-bus system and 83.8% for the IEEE 69-bus system when contrasted with the Enhanced Sine Cosine Algorithm (ESCA).