Optimal Scheduling Of Generation Using ANFIS

Abstract

This paper proposes application of PSO trained Anfis for solving optimal scheduling of generation. Particle swarm optimization (PSO) is a population based stochastic optimization technique, inspired by social behaviour of bird flocking or fish schooling. The proposed approach has been examined and tested with the numerical results of optimal scheduling of generation with three and six generating units. The results of the proposed PSO-ANFIS algorithm are compared with that of other techniques such as Lambda-Iteration Method and PSO Method and compared to both cases; the proposed algorithm outperforms the solution.