Implementation of particle swarm optimization for dynamic economic load dispatch problem

The economic operation of the generating systems has always occupied an important position in the electric power industry. It is one of the complex problems of the power system. The aim of the dynamic economic load dispatch problem is to find the optimal combination of generators in order to minimize the operating costs of the system. The load demand must be appropriately shared among the various generating units of the system. This work is done by using the particle swarm optimization (PSO) algorithm. PSO is applied to search for the optimal schedule of all the generator units that can supply the required load demand at minimum fuel cost while satisfying all system constraints such as Generator constraints, Ramp rate limits, Transmission losses and valve point effect. The PSO method was developed through the simulation of a simplified social system. The simulations were performed over various test systems with 5 generation units. So by using PSO we have done the dynamic economic load dispatch thereby reducing the operating costs of the system.