Solution to Economic Load Dispatch using Ant Colony Search based-Teaching Learning Optimization

The primary objective of this paper is to minimize power production cost by optimal allocation of generators with an equal constraint of load demand using the proposed Ant colony search based-TLBO. The Ant colony search based-TLBO algorithm furnishes sophisticated harmony between exploitation and exploration. Economical load dispatch is a non-linear problem, it contains several inequality constraints, and valve point loading are the causes, to need the optimization techniques if the function is linear several iterative methods are available and for non- linear functions also possible to apply various techniques but the main drawback in the generation cost curve functions the curve shape is not fixed due to valve point loading. In this paper, the ant colony search based-TLBO technique is proposed, and to test the stability of the proposed algorithm three different test cases are considered here:i) The standard IEEE-30 bus systemii) DG-based Industrial Corridor.iii) Gold-Copper Mine Power SystemAll these test cases have different numbers of generators as well as load centers. This is a multi-objective function and the proposed algorithm gives the optimal solution with very little time, high convergence rate, and the number of algorithm variables is very less used in it.