Optimal Power Flow Using Particle Swarm Intelligence Algorithm and Non-stationary Multi-stage Assignment Penalty Function

With the rapid development of national economy, modern industry develops towards a nonlinear, large-scale and totalization direction, resulting in an increasing need for fast, efficient and robust optimization algorithms. The appearance of the intelligent computing methods brings hope to the solutions of these complex issues. This paper introduces the applications of improved artificial fish and improved particle swarm algorithms in flow calculation, as well as the comparison of the two methods´ advantages and disadvantages.