A Solution to Economic Dispatch Problem Using Augmented lagrangian Particle Swarm Optimization

The economic load dispatch plays an important role in the operation of power system, and several models by using different techniques have been used to solve these problems. Several traditional approaches like dynamic programming, lambda-iteration and gradient method are utilized to find out the optimal solution of non-linear problem. More recently, the soft computing techniques have received more attention and were used in a number of successful and practical applications. The purpose of this work is to find out the advantages of application of the evolutionary computing technique and Augmented lagrangian Particle Swarm Optimization (ALPSO) in particular to the economic load dispatch problem. Here, an attempt has been made to find out the minimum cost by using ALPSO using the data of three generating systems. All the techniques are implemented in MATLAB environment. ALPSO is applied to find out the minimum cost for different power demand.