DocumentCode :
134631
Title :
A robust optimization approach for the interdependency analysis of integrated energy systems considering wind power uncertainty
Author :
Fuerte-Esquivel, Claudio ; Martinez-Mares, Alberto
fYear :
2014
fDate :
27-31 July 2014
Firstpage :
1
Lastpage :
1
Abstract :
Summary form only given. As power generation plants which use wind energy are increasingly integrated into existing electric power systems, it becomes important to evaluate how the wind power uncertainties affect the power system´s operation as well as its interdependency with those infrastructures utilized to transport the various forms of primary energy that is converted into electric energy. This paper proposes a robust optimization model for analyzing the interdependency between natural gas, coal and electricity infrastructures considering their operation constraints and wind power uncertainties. The optimization model obtains an uncertainty immunized solution in a unified framework based on the balance of nodal energy flows, which remains feasible and nearly optimal for all values of uncertain data. Case studies are presented to verify the effectiveness of the proposed solution for a multi-energy system composed by the IEEE-118 test system coupled to a 15-nodes natural gas network and a 4-nodes coal distribution system as well as for the real life Belgian natural gas and electricity infrastructures.
Keywords :
coal; natural gas technology; optimisation; power system management; wind power plants; Belgian natural gas infrastructures; IEEE-118 test system; coal distribution system; electric energy; electric power systems; electricity infrastructures; integrated energy systems; interdependency analysis; multienergy system; natural gas network; nodal energy flows; power generation plants; power system operation; wind energy; wind power uncertainty; Coal; Natural gas; Optimization; Power systems; Robustness; Uncertainty; Wind power generation;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
PES General Meeting | Conference & Exposition, 2014 IEEE
Conference_Location :
National Harbor, MD
Type :
conf
DOI :
10.1109/PESGM.2014.6938792
Filename :
6938792
Link To Document :
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