Online Unit Load Economic Dispatch Based on Chaotic-particle Swarm Optimization Algorithm

Unit economic load dispatch(ELD) plays an important role for energy saving and emissions reduction in power plant.To improve the accuracy and efficiency of ELD optimization algorithm,a new online unit economic load dispatch model was presented by balancing minimizing coal consumption and the requirement of load quality from grid.The constraints of unit load changing velocity with adaptively variable limits of constraints were given for both automatic generation control and ELD mode,which contribute to higher efficiency of algorithm.A chaotic particale swarm optimization algorithm was implemented for seeking the best solution of given model.In this algorithm,the adaptive inertia weight factors are used to accelerate the convergence speed,and chaotic searching is conducted within the neighbour set of the solutions to avoid the local minima.The detailed algrithm steps were also given in this paper.The case study revealed the validity of proposed model and algorithm.