Electric Power Distribution Network Reconfiguration

This program is designed for electric power distribution network reconfiguration, utilizing a MATLAB-based genetic algorithm implementation. During the distribution network reconfiguration process, the program automatically performs network topology optimization to enhance the reliability and efficiency of the power system. The genetic algorithm implementation employs chromosome encoding to represent network configurations, fitness functions to evaluate system performance, and genetic operators (selection, crossover, mutation) to evolve optimal solutions. Through the genetic algorithm optimization process, the program identifies the optimal network configuration that ensures stable and efficient power supply. The algorithm iteratively improves solutions by evaluating fitness criteria such as power loss minimization, voltage profile improvement, and reliability enhancement. Additionally, the program performs network load balancing computations to prevent overload conditions and minimize the occurrence of faults by redistributing electrical loads across available feeders. Using the MATLAB-based genetic algorithm framework, the program effectively solves complex distribution network reconfiguration problems while providing accurate and reliable results. The implementation includes key functions for load flow calculations, constraint handling, and solution validation, ensuring practical feasibility of the optimized network configurations. The algorithm's parallel computing capabilities and adaptive parameter tuning further enhance its performance for large-scale distribution systems.