OPTIMIZING POWER DISTRIBUTION NETWORK RECONFIGURATION WITH QUANTUM PSO: INCORPORATING SOLAR POWER AND ELECTRIC VEHICLES

Abstract

The solar energy source (PV) is rapidly developing in Ho Chi Minh City, along with the promising increase in electric vehicle (EV) charging stations connected
to the distribution grid. Ensuring the reliability of power supply and power quality is becoming a significant concern. To meet this demand, the problem of grid
reconfiguration to minimize losses and optimize the use of renewable energy, considering the integration of EV charging stations, has become an essential
approach in grid operation management. Various algo-rithms have been explored for the grid reconfiguration problem, with Particle Swarm Optimization (PSO)
being highly regarded and still actively developed for application today. In this study, the Quantum-PSO (QPSO) method is proposed to enhance the global
search performance and convergence ability of PSO by incorporating concepts from quantum mechanics. The QPSO method was tested alongside Binary PSO
and PSO on the same grid model to compare these methods. The results have been applied and verified on the IEEE 33-bus grid model, with parameters adjusted
for distribution grid re-configuration, in two scenarios: before and after the integration of solar en-ergy and EV charging stations, confirming the accuracy and
reliability of the proposed method.