Reactive power compensation with artificial neural networks controlled synchronous motor

Increment of the reactive power drawn from electrical power stations increases the cost of the energy produce and reduces the efficiency of energy systems. Therefore, the reactive energy should be compensated to decrease loses and to increase the efficiency. In this study, an artificial neural network model, which can be used to control of reactive power compensator (RPC) with a synchronous motor, has been developed and implemented. Thanks to the study presented, a flexible artificial neural network model has been obtained that can be easily adapted to the real time applications, can be used to educational purposes, and can also be used for testing different algorithms and structures.