Transmission Line Overload Risk Assessment for Power Systems with Wind and Load-Power Generation Correlation

Xue Li, Xiong Zhang, Lei Wu, Pan Lu, Shaohua Zhang

Research output: Contribution to journalArticlepeer-review

173 Scopus citations

Abstract

In the risk-based security assessment, probability and severity of events are the two main factors for measuring the security level of power systems. This paper presents a method for assessing line overload risk of wind-integrated power systems with the consideration of wind and load-power generation correlation. The established risk assessment model fully considers the probability and the consequence of wind uncertainties and line flow fluctuations. The point estimate method is employed to deal with the probability of line overload and the severity function is applied to quantify line flow fluctuations. Moreover, with the Cholesky decomposition, the correlation between loads and power generations are simulated by the spatial transformation of probability distributions of random variables. In addition, Nataf transformation is used to address wind resource correlation. Finally, the line overload risk index is obtained, which can be used as an indicator for quantifying power system security. Numerical results on the modified IEEE 30-bus system and the modified IEEE 118-bus system show that the types and the parameters of the wind speed distribution would affect the risk indices of line overload, and the risk indices obtained with the consideration of wind resource correlation and load correlation would reflect the system security more accurately.

Original languageEnglish
Article number7015608
Pages (from-to)1233-1242
Number of pages10
JournalIEEE Transactions on Smart Grid
Volume6
Issue number3
DOIs
StatePublished - 1 May 2015

Keywords

  • Load-power generation correlation
  • overload risk assessment
  • point estimate method (PEM)
  • probabilistic load flow (PLF)
  • severity function
  • wind resource correlation

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