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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