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Please use this identifier to cite or link to this item: https://dspace.lboro.ac.uk/2134/17699

Title: Risk-based DC security assessment for future DC-independent system operator
Authors: Gonzalez-Longatt, Francisco M.
Carmona-Delgado, C.
Riquelme, J.
Burgos, M.
Rueda, Jose L.
Keywords: Fuzzy inference system
HVDC
Multiterminal HVDC
Randomness
Risk
Security assessment
Uncertainty
Wind power
Issue Date: 2015
Publisher: © IEEE
Citation: GONZALEZ-LONGATT, F., 2015. Risk-based DC security assessment for future DC-independent system operator. IN: Proceedings of the IEEE International Conference on Energy, Economic and Environment (ICEEE-2015), Delhi, India, 26-28 March 2015.
Abstract: —The use of multi-terminal HVDC to integrate wind power coming from the North Sea opens de door for a new transmission system model, the DC-Independent System Operator (DC-ISO). DC-ISO will face highly stressed and varying conditions that requires new risk assessment tools to ensure security of supply. This paper proposes a novel risk-based static security assessment methodology named risk-based DC security assessment (RB-DCSA). It combines a probabilistic approach to include uncertainties and a fuzzy inference system to quantify the systemic and individual component risk associated with operational scenarios considering uncertainties. The proposed methodology is illustrated using a multi-terminal HVDC system where the variability of wind speed at the offshore wind is included.
Description: © 2015 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works.
Version: Accepted for publication
DOI: 10.1109/EnergyEconomics.2015.7235101
URI: https://dspace.lboro.ac.uk/2134/17699
Publisher Link: http://dx.doi.org/10.1109/EnergyEconomics.2015.7235101
ISBN: 9781467374910
Appears in Collections:Conference Papers and Contributions (CREST)
Conference Papers and Contributions (Mechanical, Electrical and Manufacturing Engineering)

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