The Influence of Load on Risk-based Small-Disturbance Security Profile of a Power System

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Abstract

This paper establishes a generic severity function that can be used to produce power system security risk profiles. It is illustrated by analyzing the impacts of system load attributes on the small-disturbance rotor angle stability of a power system. The load attributes contributing to the oscillatory modes can be considered as inherent uncertain variables within power systems and include load power variations, load composition, and load model parameters. Uncertainty in the renewable power generation is also incorporated in the probabilistic modelling and risk assessment to demonstrate the flexibility of the approach. A novel approach is proposed to select the severity functions to logically represent small-disturbance security margin. The risk profile of a power system has been presented considering the probability density functions (pdfs) of power system critical modal damping and a selected set of severity functions. The analysis techniques developed are illustrated with a modified version of the 68-bus NETS-NYPS power system with a high amount of renewable power penetration. The relative importance of the load attributes and the impact of these attributes on stability boundaries has been identified at varying risk levels with respect to their contribution to small-disturbance stability.
Original languageEnglish
Pages (from-to)557-566
Number of pages10
JournalIEEE Transactions on Power Systems
Volume33
Issue number1
Early online date18 Apr 2017
DOIs
Publication statusPublished - Jan 2018

Keywords

  • load modeling
  • power system analysis computing
  • probabilistic assessment
  • risk analysis
  • small-signal stability
  • uncertainty

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