摘要: This paper reports that there are two tasks considered in power system generation scheduling. One is the unit commitment which determines start up and shut down schedules order to minimize fuel expenditure. The other economic dispatch assigns load demand committed generating units for minimizing cost. operation attracts a great deal of attention as modest reduction percentage cost leads large saving costs. Many studies scheduling have successfully applied various mathematical algorithms such Lagrangian relaxation, dynamic programming, artificial intelligence techniques e.g., expert systems, neural networks (ANN), etc. AI incorporated practical operational policies improve models considerably. mechanism ANN simulates learning process human brain. class learns knowledge through examples, or training facts, composed by inputs their corresponding outputs. extent intelligibility depends upon diversity facts. For an input not trained can estimate anmore » output based on its previous about problem.« less