Particle Swarm Optimization Based Economic Load Dispatch with Valve Point Loading

Abstract

Economic load dispatch (ELD) problem is a quite important task in the operational planning of a power system, where fuel cost is minimized by allocating generation to the committed units subject to the constraints imposed. A small change in the formulation of objective function will come into picture with the introduction of valve point loading effects. In this paper an effective and reliable particle swarm optimization (PSO) technique is proposed for the economic load dispatch problem. The results have been demonstrated for Economic Load Dispatch of standard 3-generator and 10-generator systems with and without consideration of the transmission losses.

Dual objective multiconstraint swarm optimization based advanced economic load dispatch

“…In this paper, multiple versions of particle swarm optimization techniques are used to ascertain the optimal cost of generation capacity that can be integrated into the existing power system and the results of the proposed algorithm for a 30 bus test case system are reported. A new fictitious code based algorithm is developed, in this paper, for equality constraints [1] other than the penalty function methods that performs better due to its parallel search capability.The effect of multiple valves in steam tubines narrated by Singh and Wang et al, [2][3][4] yields more perturbation in cost function which can be piece wise linear using conventional economic dispatch techniques. This methodology is so easy that particle 1925 swarm optimization (PSO) utilizes some parameters and definitions of the optimization process and then it starts the process with an initial random population involving parallel search technique, named particles.…”