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Energies 2017, 10(4), 475; doi:10.3390/en10040475

Risk-Based Dynamic Security Assessment for Power System Operation and Operational Planning

1
Ricerca sul Sistema Energetico—RSE S.p.A., Milan 20134, Italy
2
Department of Electrical, Electronics and Telecommunication Engineering and Naval Architecture, DITEN, University of Genova, Genoa 16145, Italy
*
Author to whom correspondence should be addressed.
Academic Editor: Gianfranco Chicco
Received: 23 January 2017 / Revised: 9 March 2017 / Accepted: 28 March 2017 / Published: 1 April 2017
(This article belongs to the Special Issue Advances in Power System Operations and Planning)
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Abstract

Assessment of dynamic stability in a modern power system (PS) is becoming a stringent requirement both in operational planning and in on-line operation, due to the increasingly complex dynamics of a PS. Further, growing uncertainties in forecast state and in the response to disturbances suggests the adoption of risk-based approaches in Dynamic Security Assessment (DSA). The present paper describes a probabilistic risk-based DSA, which provides instability risk indicators by combining an innovative probabilistic hazard/vulnerability analysis with the assessment of contingency impacts via time domain simulation. The tool implementing the method can be applied to both current and forecast PS states, the latter characterized in terms of renewable and load forecast uncertainties, providing valuable results for operation and operational planning contexts. Some results from a real PS model are discussed. View Full-Text
Keywords: security; risk; contingency; probability; stability security; risk; contingency; probability; stability
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This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. (CC BY 4.0).

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MDPI and ACS Style

Ciapessoni, E.; Cirio, D.; Massucco, S.; Morini, A.; Pitto, A.; Silvestro, F. Risk-Based Dynamic Security Assessment for Power System Operation and Operational Planning. Energies 2017, 10, 475.

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