An Impact of Use the Artificial Neural Networks in Analysis of Electrical Power Stability at Meharde Plant (Hama-Syria)

Abstract

The administration of power system has gotten more troublesome than before in light of the fact that power systems are worked nearer as far as possible, ecological requirements limit the development of transmission network, the requirement for significant distance power transfers has increased and less administrators are occupied with the management and activity of power systems. Voltage instability has become a significant worry in many power systems and numerous power outages have been accounted for, where the explanation has been voltage instability. In the current work, the electric voltage stability in Meharde station in Syria has concentrated during the typical and up ordinary loading state. The outcomes in this examination were getting from fake neural network, which is comprising from three layers (input-hidden-output), where this network described by the speed and accuracy in preparing before the failure and cease the providing engine which may prompt practical problems. This investigation has been done through two unique examples of generating in this station (single, double and four) generators. The accomplishment of this network comprises of two phases: preparing Stage (disconnected) and testing Stage (on-line) to make an examination between the preparation stage and testing stage which prompting optimization the load in testing cases relying upon preparing data.