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Analyzing dynamic performance of power systems over parameter space using normal forms of vector fields-part I: identification of vulnerable regions

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3 Author(s)
Songzhe Zhu ; Dept. of Electr. Eng. & Comput. Eng., Iowa State Univ., Ames, IA, USA ; Vittal, V. ; Kliemann, W.

This is the first part of a two-part paper discussing the dynamic performance of power systems over parameter space using the method of normal forms. A new normal form transformation is derived under the second order resonance condition. By using the resonance condition as a guide to indicate detrimental system dynamic performance, the authors propose a computationally efficient method to study the system under varying parameters. An approach to determine the resonance and near-resonance region in the parameter space is developed. For the resonance case, conclusions are drawn by simply examining the analytic solutions. For the near-resonance case, the machine states showing poor performance can be found by tracing the dominant nonlinear modal interaction and mode-machine interaction. The method is tested on the IEEE 50-generator system. The results reveal many interesting characteristics of the system related to resonance and near-resonance, which validates the effectiveness of the method as a useful analytical tool for system operation and design. Further work on quantifying the effect of the modal interactions on the machine states is presented in Part II.

Note: This version of the article is known to contain errors so it has been corrected and republished in full in IEEE Transactions on Power Systems, vol 16, no 4, pp 711-718 [DOI: 10.1109/59.962417].  

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Power Systems, IEEE Transactions on  (Volume:16 ,  Issue: 3 )