The use of high voltage direct current (HVDC) transmission lines in power systems not only increase the capacity of electrical power transmission systems, but also strengthen the stability of the power network. In order to optimize the HVDC influences on voltage-frequency stability, it is necessary to design supplementary controllers in the most optimal path between input-output signals of the whole power system. The supplementary controllers are added to the local control loop of HVDC to improve active-reactive power flow. In this paper, an optimized method based on the controllability concept is proposed for the coupling of the input-output (IO) signals of the power system equipped with voltage source converter (VSC)-based HVDC. Then, the optimal path is used for supplementary damping controller design based on a novel adaptive recurrent neural network (ARNN). The ARNN is trained online Using a new training algorithm. The simulation results, which are carried on using MATLAB software, show the effectiveness of the control strategy to improve the voltage profile and dynamic stability of the power system. Manuscript profile

Todays, it is well known that using a supplementary controller in FACTS devices can be affective for damping oscillations of electromechanical (EM) mode. In the meantime, appropriate coupling of inputs-outputs signals in the multivariable power system equipped by FACTS can improve the performance of designed supplementary controller. In this paper using of a supplementary controller of interline power flow controller (IPFC) based on input-output signal selection is surveyed to improve power system stability. The proposed controller is added as a supplementary loop to the converter control loops in IPFC and will enhance the damping torque in the power plant by increasing the damping coefficients of the system oscillation modes. Moreover, a solution is provided to use the proposed damping controller in the most optimal path between input-output signals of the system, so that the most controllability on the oscillation modes and the least interference with other channels between the input-output signals are obtained. To increase stability, further Lead-Lag controllers, a novel on-line adaptive controller has been used analytically to identify power system parameters and damp electromechanical oscillations. The simulation results show that the method proposed in this paper not only improves the dynamic stability of the power system but also strengthens the voltage profile. Manuscript profile