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 language | English |
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Title of host publication | 2017 4th International Conference on Control, Decision and Information Technologies, CoDIT 2017 |
Publisher | Institute of Electrical and Electronics Engineers Inc. |
Pages | 997-1002 |
Number of pages | 6 |
ISBN (Electronic) | 9781509064656 |
DOIs | |
Publication status | Published - 8 Nov 2017 |
Externally published | Yes |
Event | 4th International Conference on Control, Decision and Information Technologies, CoDIT 2017 - Barcelona, Spain Duration: 5 Apr 2017 → 7 Apr 2017 |
Publication series
Name | 2017 4th International Conference on Control, Decision and Information Technologies, CoDIT 2017 |
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Volume | 2017-January |
Conference
Conference | 4th International Conference on Control, Decision and Information Technologies, CoDIT 2017 |
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Country/Territory | Spain |
City | Barcelona |
Period | 5/04/17 → 7/04/17 |
Bibliographical note
Publisher Copyright:© 2017 European Union.
Keywords
- Cross-validation
- Online security assessment
- Power systems
- Uncertainty