Dynamic Load Economic Dispatch in Electricity Market Using Improved Particle Swarm Optimization Algorithm

An improved strategy particle swarm optimization algorithm is proposed to solve the dynamic load economic dispatch problems in power systems. Many constraints such as ramp rate limits and prohibited zones are taken into account, and the loss is also calculated. On the basis of strategy particle swarm optimization algorithm, a new improved strategy is provided to handle the constraints and make sure the particles to satisfy the constraints. The strategy can guarantee the particles to search in or around the feasible solutions area combined with penalty functions. The accuracy and speed of the algorithm are improved for the particles will rarely search in the infeasible solutions area, and the results also show that the new algorithm has fast speed, high accuracy and good convergence.