By adjusting the states of sectional and connect switches, it is possible to modify the configuration of power distribution systems while maintaining the required network radiality. This modification aims to minimize power losses and support bus voltage by keeping it within standard range. Many effective optimization methodologies have been devised to address the challenge of reconfiguring distribution networks. The goal of this work is to improve this area of research. The suggested approaches were applied to the IEEE 33-bus distribution networks and the Iraqi Radial Distribution Network for Al-Anbar City in order to minimize overall power loss and achieve optimum radial topologies. Based on the results, the whale optimization method (WOA) demonstrated the optimal solution for the IEEE 33 bus, reducing the active power loss (PL) to 28.43% and the reactive power loss (QL) to 18.97%. As the voltage increased from 0.91306 pu to 0.93730 pu, the WOA provided the optimal solution for the Al-Anbar area system in the Iraqi distribution system. The results show that, under constant demand, the WOA for the following system reconfiguration at constant demand reduced the PL to 35.11% and the QL to 35.10%. In the meantime, the system's minimum voltage increased to 0.92242 pu from 0.86374 pu. Conversely, the GA results demonstrated a 34.86% decrease in QL and a 34.87% decrease in PL. The system's minimum voltage increased from 0.86374 pu to 0.92178 pu. Nonetheless, the results demonstrate the superiority of the proposed approach over the genetic algorithm (GA) with reduced power losses.

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A Comparative Analysis of Different Optimization Algorithms for Optimal System Reconfiguration to Improve the Radial Distribution Network in Iraq

  • Ibrahim Ismael Alnaib,
  • Karam Khairullah Mohammed,
  • Ahmed Nasser B. Alsammak

摘要

By adjusting the states of sectional and connect switches, it is possible to modify the configuration of power distribution systems while maintaining the required network radiality. This modification aims to minimize power losses and support bus voltage by keeping it within standard range. Many effective optimization methodologies have been devised to address the challenge of reconfiguring distribution networks. The goal of this work is to improve this area of research. The suggested approaches were applied to the IEEE 33-bus distribution networks and the Iraqi Radial Distribution Network for Al-Anbar City in order to minimize overall power loss and achieve optimum radial topologies. Based on the results, the whale optimization method (WOA) demonstrated the optimal solution for the IEEE 33 bus, reducing the active power loss (PL) to 28.43% and the reactive power loss (QL) to 18.97%. As the voltage increased from 0.91306 pu to 0.93730 pu, the WOA provided the optimal solution for the Al-Anbar area system in the Iraqi distribution system. The results show that, under constant demand, the WOA for the following system reconfiguration at constant demand reduced the PL to 35.11% and the QL to 35.10%. In the meantime, the system's minimum voltage increased to 0.92242 pu from 0.86374 pu. Conversely, the GA results demonstrated a 34.86% decrease in QL and a 34.87% decrease in PL. The system's minimum voltage increased from 0.86374 pu to 0.92178 pu. Nonetheless, the results demonstrate the superiority of the proposed approach over the genetic algorithm (GA) with reduced power losses.