Damping Adaptive Neural Controller Design in HVDC based on Offshore Wind Turbine to Improve Power System Stability

فاقد چكيده

Because of low losses and voltage drop, fast control of power, the limitless connection distance and isolation issues, using the High Voltage Direct Current (HVDC) transmission system based on Voltage Source Converters (VSC) is recommended to the power transfer in the electrical power networks included the offshore wind power plants (OWPP). The OWPPs are expected to meet the grid code necessities when requested to maintain stability. Utilization of the VSC HVDC along with the OWPP, can improve the control of power flow and the power system dynamic stability. In this paper, the impact of control of VSC HVDC based OWPP, on the dynamic stability of power systems is evaluated. In this way, the dynamic modeling of power system equipped by the VSC HVDC and OWPP are proposed. In the proposed model, using the concepts of controllability and observability of electromechanical modes of power systems, a new approach to the design a supplementary damping controller in VSC HVDC based OWPP is presented. The damping controller is designed based on the nonlinear adaptive neural networks concepts and trained by a proposed online method. The simulation results which are done in MATLAB, show the effectiveness of the proposed control strategy.