Hydrogen powered microgrid for EV charging stations load flow analysis and optimization

This paper presents an exhaustive analysis of power flow optimization within an IEEE 33-bus microgrid system using Particle Swarm Optimization (PSO) and compares it with traditional Optimal Power Flow (OPF) methods. The PSO approach is evaluated based on its effectiveness in reducing real and reactive power losses and enhancing overall system efficiency, particularly when integrated with renewable energy sources. Our study delves into the intricacies of power system optimization, examining the system's adaptability to load variations and the integration of distributed generation. The performance metrics focus on energy conservation, operational cost, system reliability, and power quality. The results from the PSO are critically assessed against those obtained from the OPF, providing insights into the suitability and effectiveness of each optimization method for modern smart grid applications.