DocumentCode :
2019111
Title :
Stochastic contingency analysis for the unit commitment with natural gas constraints
Author :
Correa-Posada, Carlos M. ; Sanchez-Martin, Pedro
Author_Institution :
Compania de Expertos en Mercados (XM), Medellin, Colombia
fYear :
2013
fDate :
16-20 June 2013
Firstpage :
1
Lastpage :
6
Abstract :
The continuing liberalization and interconnection of energy markets worldwide has raised concerns about the inherent interdependency between primary energy supply and electric systems. With the growing interaction among energy carriers, limitations on the fuel delivery are increasingly relevant to the operation of power systems. One such issue is the impact of fuel supply in the Unit Commitment (UC). The contribution of this paper focuses on the development of a MIP UC that integrates the power and natural gas networks for the analysis of infrastructure outages. The problem is formulated as a two-stage stochastic optimization problem in which the first stage optimizes commitment and production decisions and the second computes deviations in levels of production and energy flows according to possible network contingencies. Case studies integrate the IEEE 24-bus system and Belgian high-calorific gas network to compute the effect of network uncertainty in the UC, showing the importance of interactions among energy systems.
Keywords :
natural gas technology; optimisation; power generation dispatch; power generation scheduling; power markets; stochastic processes; Belgian high-calorific gas network; IEEE 24-bus system; electric systems; energy carriers; energy flows; energy markets; energy systems; fuel delivery; fuel supply; infrastructure outages; natural gas constraints; natural gas networks; network contingencies; network uncertainty; power system operation; primary energy supply; production decisions; production levels; stochastic contingency analysis; two-stage stochastic optimization problem; unit commitment; Fuels; Mathematical model; Pipelines; Power systems; Production; Stochastic processes; Uncertainty; fuel constraint; security constraint; stochastic programming; unit commitment;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
PowerTech (POWERTECH), 2013 IEEE Grenoble
Conference_Location :
Grenoble
Type :
conf
DOI :
10.1109/PTC.2013.6652219
Filename :
6652219
Link To Document :
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