Reactive Power Optimization Based on Artificial Intelligence

摘要

The losses in electrical power systems are a great problem. Multi methodology is utilized to decrease power losses in transmission line. Reactive power optimization problem is really part of optimal load flow calculation where the adjusting of reactive power is one of the ways for minimizing the losses in any power system. In this study, we have presented three types of Particle Swarm Optimization (PSO) algorithm to solve reactive power optimization problem, and compared the results of these approaches with some results reported in the literature. The first type is by using Simple PSO, the second type is by using Modified PSO (MPSO), and the last type is by using Chaotic PSO (CPSO), and the CPSO can enhance performance of convergence, the accuracy and decrease the calculation time for the Simple PSO algorithm. All these algorithm types have been applied to the IEEE-57 node and IEEE-118 node systems for power loss minimization in lines and to keep the voltage at all nodes with an acceptable bound and stay the power system employing under normal conditions.