DocumentCode
78034
Title
A Robust Optimization Approach for the Interdependency Analysis of Integrated Energy Systems Considering Wind Power Uncertainty
Author
Martinez-Mares, Alberto ; Fuerte-Esquivel, C.R.
Author_Institution
Electr. Eng. Fac., Univ. Michoacana de San Nicolas de Hidalgo (UMSNH), Morelia, Mexico
Volume
28
Issue
4
fYear
2013
fDate
Nov. 2013
Firstpage
3964
Lastpage
3976
Abstract
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; wind power plants; 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; real-life Belgian natural gas; robust optimization approach; uncertainty-immunized solution; wind energy; wind power uncertainty; Coal; multi-energy systems; natural gas; power systems; robust optimization; uncertainties; wind power;
fLanguage
English
Journal_Title
Power Systems, IEEE Transactions on
Publisher
ieee
ISSN
0885-8950
Type
jour
DOI
10.1109/TPWRS.2013.2263256
Filename
6520881
Link To Document