Optimisation De L'écoulement De Puissance Dans Les Réseaux Electriques En Utilisant La Méthode AIRS (Artificial Immune Recognition System)

Optimal power flow (OPF) optimization is a critical step to ensure reliable, economical, and efficient operation of power grids. Due to the nonlinear complexity of the OPF problem, conventional optimization methods often have limitations in terms of convergence and performance. In this study, we propose the application of the artificial immunity algorithm (AIS), inspired by the biological immune system, to solve the OPF problem. The approach is tested on the standard IEEE 30-bus network using the MATPOWER tool in MATLAB. The performance of AIS is compared with other metaheuristic algorithms to evaluate its ability to minimize production costs, improve system stability, and meet operational constraints. The results obtained demonstrate the effectiveness of the AIS approach in terms of accuracy, convergence speed, and robustness, thus confirming its potential for applications in the optimal management of power grids.