Abstract: Optimal power flow (OPF) problems play a central role in planning and operating a transmission power system in a reliable, flexible and secure manner. In this paper, a significant intelligent algorithm based on the Particle Swarm Optimization method is proposed for solving the optimal reactive power dispatch (ORPD) problem by adjusting equality and inequality constraints. The objective function which is considered for optimal active and reactive power dispatch is the minimization of transmission power losses. In order to solve ORPD problems, Particle Swarm Optimization (PSO) based on the Newton Raphson method is coded with MATLAB software and the results of the simulation are compared to the Interior Point method as the classical method for minimization transmission losses in the Nordic 44 system. The Nordic 44 system consists of three countries, including Norway, Finland, and Sweden, and has 44 buses, 67 branches and 61 generators. The results illustrate the effectiveness of the proposed algorithm compared to the other methods for the minimization of total power losses for Nordic 44. The simulation results of the proposed method for the Nordic 44 system are compared to the results of the PSO algorithm for the ORPD problem in several networks, including IEEE 14 buses, 30 buses, and 57 buses.
Keywords: Optimal power flow, classical method, Particle Swarm Optimization, total power losses minimization
