Abstarct: Energy required to run of different affairs has always been considered one of the major concerns of human. Gradually with the progress of industry and the increasing need for safe and clean energy, electrical energy has found a particular role in the realm of the world energy. Advantages of electrical energy have increased its applications in different affairs, so that it is be remembered as interface energy for better usage of other available energy now. Fuel consumption has always been considered as one of important factors electricity generates. With the development of power systems, its dependence on fueling systems is undeniable. So that crisis and shortage in this system is directly threat to the security of the power system. The other hand, complete and correct scheduling of these two systems addition are provide electric grid security, costs reduction are included too. In harsh winter conditions while reducing the temperature leads to an increase in gas demands of consumers of non-power-plant, supplying the consuming Gas of most power-plants faces serious limitations. Ignoring these limitations could result in the shutdown of some power generating units and compromise the network security. In these conditions, usually a gas network cannot supply required gas of all power-plants, and thermal power plants operate with second fuel sources which are mostly gasoline and fuel-oil. Because there are limitations in the second fuel storage, if for any reason the usage time of second fuel prolonged, power-plants would face with fuel shortages and the threat of blackouts. This crisis actually occurred in December of 2007 in IRAN. To obtain an actual answer we must keep in mind the constraints of power network together with fuel transmission limitations. This Thesis aims to attain an integrated model in order to achieve the most economical of generation state with maintaining security electricity network, by various fueling system modeling and considering their limitation as generation restrictions. The effectiveness of model presented for an accurate generation planning has been expressed by its evaluation with conventional generation scheduling.