Neural Adaptive Control by State Space Regulator of Universal Charge for the Compensation of Active and Reactive Power

In the present study, researchers present the effectiveness of the controller trical power flow universal (Unified Power Flow Controller, UPFC) with the choice of a control strategy. To evaluate the performance and robustness of the system, we proposed a hybrid control combining the concept of neural networks with conventional regulators vis-a-vis the changes in characteristics of the transmission line in order to improve the stability of the electrical power network.