DocumentCode :
736054
Title :
Risk-based DC security assessment for future DC-independent system operator
Author :
Gonzalez-Longatt, F. ; Carmona-Delgado, C. ; Riquelme, J. ; Burgos, M. ; Rueda, J.L.
Author_Institution :
Centre for Renewable Energy Syst. Technol. (CREST), Loughborough Univ., Loughborough, UK
fYear :
2015
fDate :
27-28 March 2015
Firstpage :
1
Lastpage :
8
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.
Keywords :
HVDC power transmission; fuzzy reasoning; fuzzy set theory; power engineering computing; power system security; probability; wind power plants; DC-ISO; DC-independent system operator; component risk; fuzzy inference system; multiterminal HVDC system; offshore wind; probabilistic approach; risk assessment tools; risk-based DC security assessment; risk-based static security assessment methodology; wind speed variability; HVDC transmission; Indexes; Load flow; Probabilistic logic; Security; Uncertainty; Voltage control; Fuzy; Fuzzy Inference system; HVDC; multiterminal HVDC; randomness; risk; security assessment; uncertainty; wind power;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Energy Economics and Environment (ICEEE), 2015 International Conference on
Conference_Location :
Noida
Print_ISBN :
978-1-4673-7491-0
Type :
conf
DOI :
10.1109/EnergyEconomics.2015.7235101
Filename :
7235101
Link To Document :
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