فهرست مقالات Power system dynamic stability

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  1 - A New Robust Control Design Based on Feedback Compensator for Sssc
  علی عجمی احد چهاندیده شندی
  In this paper, the modified linearized Phillips-Heffron model is utilized to theoretically analyze asingle-machine infinite-bus (SMIB) installed with SSSC. Then, the results of this analysis are used forassessing the potential of an SSSC supplementary controller to impr چکیده کامل

  In this paper, the modified linearized Phillips-Heffron model is utilized to theoretically analyze asingle-machine infinite-bus (SMIB) installed with SSSC. Then, the results of this analysis are used forassessing the potential of an SSSC supplementary controller to improve the dynamic stability of apower system. This is carried out by measuring the electromechanical controllability through singularvalue decomposition (SVD) analysis. This controller is tuned for simultaneously shifting theundamped electromechanical modes to a prespecifed area in the s-plane. The issue of designing arobustly SSSC- based controller is considered and formulated as an optimization problem accordingto the eigenvalue-based multi-objective function consisting of the damping ratio of the undampedelectromechanical modes and the damping factor. Next, considering its high capability to find themost optimistic results, the Gravitational Search Algorithm (GSA) is used to solve this optimizationproblem. Wide ranges of operating conditions are considered in design process of the proposeddamping controller in order to guarantee its robustness. The effectiveness of the proposed controlleris demonstrated through eigenvalue analysis, controllability measure, nonlinear time-domainsimulation and some performance indices studies. The results show that the tuned GSA based SSSCcontroller which is designed by using the proposed multi-objective function has an outstandingcapability in damping power system low frequency oscillations, also it significantly improves thepower systems dynamic stability. پرونده مقاله
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  2 - Novel Adaptive Recurrent Neural Controller based on VSC HVDC Damping Controller to Improve Power System Stability
  Naser Taheri
  10.30495/ijsee.2022.1963367.1216
  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-frequen چکیده کامل

  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. پرونده مقاله