Managing forecast uncertainty in power system security assessment

E. Ciapessoni, D. Cirio, A. Pitto, N. Omont, M. H. Vasconcelos, L. M. Carvalho

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

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. The FP7 EU project iTesla tackles these needs and reaches several major objectives, including the development of a security platform architecture. In particular, the platform implements a complex 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 sampling the cloud of uncertainty. The paper focuses on the proposed model of the uncertainty and its exploitation in power system security assessment process.

Original languageEnglish
Title of host publication2017 4th International Conference on Control, Decision and Information Technologies, CoDIT 2017
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages997-1002
Number of pages6
ISBN (Electronic)9781509064656
DOIs
Publication statusPublished - 8 Nov 2017
Externally publishedYes
Event4th International Conference on Control, Decision and Information Technologies, CoDIT 2017 - Barcelona, Spain
Duration: 5 Apr 20177 Apr 2017

Publication series

Name2017 4th International Conference on Control, Decision and Information Technologies, CoDIT 2017
Volume2017-January

Conference

Conference4th International Conference on Control, Decision and Information Technologies, CoDIT 2017
Country/TerritorySpain
CityBarcelona
Period5/04/177/04/17

Bibliographical note

Publisher Copyright:
© 2017 European Union.

Keywords

  • Cross-validation
  • Online security assessment
  • Power systems
  • Uncertainty

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