Impact of Gas System Modelling on Uncertainty Management of Gas-Electric Systems
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Date
2022
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Conference Paper
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yes
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Abstract
Gas fired power plants can provide flexible generation that can help to balance intermittent renewable energy sources as the world moves towards using a more sustainable energy infrastructure. The increasing use of gas-fired power plants for balancing renewable generation creates an interdependence between the electricity and gas networks, where uncertainty can propagate between the two systems, causing insecure operating conditions and disruptions in both gas and electricity supply. Unfortunately, these interactions are computationally challenging to analyze due to the relatively longer transient dynamics of the gas network models. Recent work have provided efficient methods for solving problem as a two stage stochastic optimization problem. In this paper we investigate the importance of using a dynamic gas network model, as compared to a simplified steady-state network model which ignores gas system transients. We find that using the dynamic model allows the networks to better manage the uncertainty of the renewable energy sources and results in lower costs and reduced load shedding.
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2022 17th International Conference on Probabilistic Methods Applied to Power Systems (PMAPS)
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120 - 125
Publisher
Curran
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17th International Conference on Probabilistic Methods Applied to Power Systems (PMAPS 2022)
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09481 - Hug, Gabriela / Hug, Gabriela