Increasing power transfer capability of existing transmission lines is one of the key issues in the power systems. Inter-area oscillations have effect on the power transfer capability and decrease the network efficiency. On the other hand, FACTS devices can be used to i More
Increasing power transfer capability of existing transmission lines is one of the key issues in the power systems. Inter-area oscillations have effect on the power transfer capability and decrease the network efficiency. On the other hand, FACTS devices can be used to increase the power transfer capability by damping the inter-area oscillations. This paper proposes a Linear Matrix Inequality (LMI) based robust controller design to generate an additional stabilizing signal for a Static VAR Compensator (SVC) in order to increase damping of the inter-area modes. Wide Area Measurement (WAM) has been employed by the controller which is designed based on the H∞ mixed-sensitivity synthesis method. The effectiveness of the method is investigated by a test system consisting of 16 numbers of generators, 68 buses and 5 areas. The results show good and robust performance of the controller in damping the oscillations.
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Continuous changes besides increasing complexities of modern power systems cause emergence of new challenges in modeling of power systems. Nowadays, with development of wide-area monitoring systems, data from the overall system can be used to identify and estimate model More
Continuous changes besides increasing complexities of modern power systems cause emergence of new challenges in modeling of power systems. Nowadays, with development of wide-area monitoring systems, data from the overall system can be used to identify and estimate model for power systems. This paper focuses on power system stabilizer tuning using the derived measurements-based model. The derived low-order model includes dynamic characteristics of inter-area dominant modes and can be used to design the damping controller and evaluate its effectiveness in power system studies. The controller can be reinterpreted as power system stabilizer and may be designed in two different methods of i) robust and ii) Ziegler-Nichols. The numerical results show the effectiveness of this approach in improving the small signal stability behavior of two-area 4-machine system using measured data, obtained from time domain simulation in MATLAB software.
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