TY - JFULL AU - N. Phanthuna V. Phupha N. Rugthaicharoencheep and S. Lerdwanittip PY - 2012/12/ TI - Economic Load Dispatch with Daily Load Patterns and Generator Constraints by Particle Swarm Optimization T2 - International Journal of Mathematical and Computational Sciences SP - 1584 EP - 1589 VL - 6 SN - 1307-6892 UR - https://publications.waset.org/pdf/4694 PU - World Academy of Science, Engineering and Technology NX - Open Science Index 71, 2012 N2 - This paper presents an optimization technique to economic load dispatch (ELD) problems with considering the daily load patterns and generator constraints using a particle swarm optimization (PSO). The objective is to minimize the fuel cost. The optimization problem is subject to system constraints consisting of power balance and generation output of each units. The application of a constriction factor into PSO is a useful strategy to ensure convergence of the particle swarm algorithm. The proposed method is able to determine, the output power generation for all of the power generation units, so that the total constraint cost function is minimized. The performance of the developed methodology is demonstrated by case studies in test system of fifteen-generation units. The results show that the proposed algorithm scan give the minimum total cost of generation while satisfying all the constraints and benefiting greatly from saving in power loss reduction ER -