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An advanced platform for power system security assessment accounting for forecast uncertainties

Author

Listed:
  • Emanuele Ciapessoni
  • Diego Cirio
  • Andrea Pitto
  • Nicolas Omont
  • Leonel M. Carvalho
  • Maria Helena Vasconcelos

Abstract

Accounting for the increasing uncertainties related to forecast of renewables is becoming an essential requirement while assessing the security of future power system scenarios. Project iTesla in the Seventh Framework Program (FP7) of the European Union (EU) tackles these needs and reaches several major objectives, including the development of a security platform architecture. In particular, the platform implements a stochastic dependence model to simulate a reasonable cloud of plausible 'future' states - due to renewable forecast - around the expected state, and evaluates the security on relevant states after sampling the cloud of uncertainty. The paper focuses on the proposed model for the uncertainty and its exploitation in power system security assessment process and it reports the relevant validation results.

Suggested Citation

  • Emanuele Ciapessoni & Diego Cirio & Andrea Pitto & Nicolas Omont & Leonel M. Carvalho & Maria Helena Vasconcelos, 2019. "An advanced platform for power system security assessment accounting for forecast uncertainties," International Journal of Management and Decision Making, Inderscience Enterprises Ltd, vol. 18(3), pages 257-281.
    • Handle: RePEc:ids:ijmdma:v:18:y:2019:i:3:p:257-281
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