Application of Ann in Economic Generation Scheduling in IEEE 6-Bus System
In this paper training data for the training of artificial neural network is obtained by the classical Kirchmayer method and this training data is then given to the ANN for the training. After the training Power Generation (PGi) for any Power Demand (PD) can be calculated. In this paper training of artificial neural network by OFF-LINE Training for test system, IEEE 6-bus system. The size of electric power system is increasing rapidly to meet the energy requirements. A number of power plants are connected in parallel to supply the system load by interconnection of power stations. With the development of grid system it becomes necessary to operate the plant unit most economically.