Abstract :
The sustainability of hydraulic turbines was one of the most important issues considered by electrical energy provider experts. Increased electromechanical oscillation damping is one of the key issues in the turbines sustainability. Electromechanical oscillations, if not quickly damp, can threaten the stability of hydraulic turbines and causes the separation of different parts of the network form each other, specifically ejecting the generators from the turbine. In this paper, a Roundrobin scheduling algorithm was used based on a neural network and simulations were investigated by several methods. Thus, using the designed Roundrobin scheduling algorithm, we can find three parameters simultaneously. So optimal outputs can determine by these three parameters, which would be investigated as the optimal output range. In other words, besides using other algorithms capability, it can eliminate some of their disadvantages. The Roundrobin scheduling algorithm is more suitable for large and extensive systems, due to reducing the number input variables and have a nonlinear and resistant structure at the same time, This algorithm can actually use for optimizing any other controlling methods.
