Optimal Power Flow Solution of Hybrid AC–DC Network Using Particle Swarm Method

Abstract

In this article, we have tackled the multi-objective optimization problem of hybrid AC-DC networks using a metaheuristic method called particle swarm optimization (PSO). The approach of our work answers the following questions: how to model and integrate a direct current (DC) system, including VSC lines and converter stations, into the power optimization computation (OPF) process. To do this, the entire DC system (lines and VSC stations) is converted into a notional AC equivalent system using appropriate modeling, enabling the application of traditional AC OPF methods. Within the framework of multi-objective optimization, the Pareto technique is used to select the optimal solution from among those satisfying the defined objectives. The algorithm developed was implemented in the Matlab environment and tested on a modified IEEE-30 bus test network. The results obtained were compared with those of similar work published previously. The contribution of our research in the field of AC-DC hybrid power system optimization lies in the modeling of VSC stations integrated in an AC network, aiming to perform multi-objective optimization using tools developed for AC networks.