Genetic Search for an Optimal Power Flow Solution from a High Density Cluster

R.V. Amarnath and N.V. Ramana (India)

Keywords

Optimal Power Flow, Lagrange Method, Density based Cluster Algorithm, High Density Cluster, Genetic Search and Fitness function.

Abstract

This paper presents a novel method for the solution of optimal power flow problem. The algorithm of the proposed method can be unfolded into three stages. In the first, a suboptimal solution is obtained by a conventional analytical method. In the second, a high density cluster, which consists of other suboptimal data points in the vicinity of the first are formed with the help of density based cluster algorithm. In the final stage, a genetic algorithm based search is carried out for the exact optimal solution from a low population sized, high density cluster. The final optimal solution thoroughly satisfies the well defined fitness function. A standard IEEE 30-bus test system is considered for the simulation study. Numerical results are presented and compared with the results of other approaches in a judicious way.

Important Links:



Go Back