Hybrid Ttloa Model For Simultaneous Distribution Network Reconfiguration And Optimal Placement Of Distributed Generators For Loss Reduction: Validation On Multiple Test Bus Systems And Outage Scenarios

Abstract

Objective: The study aims to improve network performance by combining DG and network reconfiguration.

Methods: A hybrid Teamwork-Teaching Learning Optimization Algorithm (TTLOA) is proposed. TTLOA optimizes DG sizing, placement, and network reconfiguration. MATLAB is used for implementation on IEEE_33, IEEE_69, IEEE_119, and Indian_52 bus systems. The model is evaluated using five outage scenarios.

Results: Near-optimal solutions are obtained for DG sizing and placement. Power loss is minimized by improving the power factor (PF) of DG.

Conclusions: The proposed model effectively enhances network performance through DG and network reconfiguration. It provides valuable insights for practical applications.