Article citationsMore>>

C. Y. Chung, K. W. Wang, C. T. Tse, X. Y. Bian and A. K. David, “Probabilistic Eigenvalue Sensitivity Analysis and PSS Design in Multimachine Systems,” IEEE Transactions on Power Systems, Vol. 18, No. 4, 2003, pp. 1439-1445. doi:10.1109/TPWRS.2003.818709

has been cited by the following article:

• TITLE: Identification of the Optimum Locations of Power System Stabilizers in a Multimachine Power System Using Second Order Eigenvalue Sensitivity Analysis

  AUTHORS: Abdul Mahabuba, Abdullah Khan

  KEYWORDS: Power System Stabilizer (PSS); Small Signal Stability; First Order Eigenvalue Sensitivity (FOES); Second Order Eigenvalue Sensitivity (SOES); Participation Factor (PF)

  JOURNAL NAME: Smart Grid and Renewable Energy, Vol.4 No.1, February 26, 2013

  ABSTRACT: This research paper deals with the identification of the best location of the Power System Stabilizers (PSS) and also the tuning of PSS parameters in order to improve the overall dynamic stability of multi machine power systems. The location of PSS is determined by identifying the critical modes and their corresponding first and second order eigenvalue sensitivities. In this formulation, sensitivity analysis of a particular mode can be performed with only its eigenvalues and their left and right eigenvectors. The simplicity and efficiency of this approach sharply contrast to the complexity of the traditional approach, where all eigenvalues and eigenvectors are required at the same time. The effectiveness of this method in selecting the optimum location for placement of PSSs is compared with the participation factor method. The proposed sensitivity theory used to identify the best PSS location in a five machine, eight bus El-Metwally and Malik System to increase the damping of both local and inter area modes for various operating conditions.