18
views
0
recommends
+1 Recommend
0 collections
    0
    shares
      • Record: found
      • Abstract: found
      • Article: found
      Is Open Access

      A new LPV modeling approach using PCA-based parameter set mapping to design a PSS

      research-article

      Read this article at

      Bookmark
          There is no author summary for this article yet. Authors can add summaries to their articles on ScienceOpen to make them more accessible to a non-specialist audience.

          Graphical abstract

          Abstract

          This paper presents a new methodology for the modeling and control of power systems based on an uncertain polytopic linear parameter-varying (LPV) approach using parameter set mapping with principle component analysis (PCA). An LPV representation of the power system dynamics is generated by linearization of its differential-algebraic equations about the transient operating points for some given specific faults containing the system nonlinear properties. The time response of the output signal in the transient state plays the role of the scheduling signal that is used to construct the LPV model. A set of sample points of the dynamic response is formed to generate an initial LPV model. PCA-based parameter set mapping is used to reduce the number of models and generate a reduced LPV model. This model is used to design a robust pole placement controller to assign the poles of the power system in a linear matrix inequality (LMI) region, such that the response of the power system has a proper damping ratio for all of the different oscillation modes. The proposed scheme is applied to controller synthesis of a power system stabilizer, and its performance is compared with a tuned standard conventional PSS using nonlinear simulation of a multi-machine power network. The results under various conditions show the robust performance of the proposed controller.

          Related collections

          Most cited references31

          • Record: found
          • Abstract: not found
          • Article: not found

          Optimization of Power System Stabilizers using BAT search algorithm

          E.S. Ali (2014)
            Bookmark
            • Record: found
            • Abstract: not found
            • Book: not found

            Control of Linear Parameter Varying Systems with Applications

              Bookmark
              • Record: found
              • Abstract: not found
              • Article: not found

              Robust tuning of power system stabilizers in multimachine power systems

                Bookmark

                Author and article information

                Contributors
                Journal
                J Adv Res
                J Adv Res
                Journal of Advanced Research
                Elsevier
                2090-1232
                2090-1224
                02 November 2016
                January 2017
                02 November 2016
                : 8
                : 1
                : 23-32
                Affiliations
                Department of Electrical Engineering, Shahed University, Opposite Holy Shrine of Imam Khomeini, Khalij Fars Expressway, P.O. Box: 18155/159, 3319118651, Tehran, Iran
                Author notes
                [* ]Corresponding author. kazemi@ 123456shahed.ac.ir
                Article
                S2090-1232(16)30081-9
                10.1016/j.jare.2016.10.006
                5122705
                8f9db99f-ae13-41c4-ba83-ac516215c35c
                © 2016 Production and hosting by Elsevier B.V. on behalf of Cairo University.

                This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/).

                History
                : 12 July 2016
                : 22 October 2016
                : 23 October 2016
                Categories
                Original Article

                power system stabilizer,linear parameter-varying modeling,principle component analysis,linear matrix inequality regions,nonlinear system

                Comments

                Comment on this article