2022
DOI: 10.1017/s0956792522000079
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Efficient simulation of coupled gas and power networks under uncertain demands

Abstract: We introduce an approach and a software tool for solving coupled energy networks composed of gas and electric power networks. Those networks are coupled to stochastic fluctuations to address possibly fluctuating demand due to fluctuating demands and supplies. Through computational results, the presented approach is tested on networks of realistic size.

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Cited by 3 publications
(3 citation statements)
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References 53 publications
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“…Motivated by our applications in gas transport, it is also of great interest to look at the problem of exact boundary controllability of nodal profile with state constraints from 4 . Moreover, efficient simulation of these processes are important, see 16 .…”
Section: Discussionmentioning
confidence: 99%
“…Motivated by our applications in gas transport, it is also of great interest to look at the problem of exact boundary controllability of nodal profile with state constraints from 4 . Moreover, efficient simulation of these processes are important, see 16 .…”
Section: Discussionmentioning
confidence: 99%
“…), flow stream properties and physical network parameters (like elevations and inclinations) [7,23]. In addition to these variables, state-of-the-art gas network models incorporate the gas demand (or load), uncertainty estimations, and seasonal fluctuations in demand and also, provide the flexibility of incorporating the gas network models and simulation with those of the facilities at the users' end (such as electric grid models) [24][25][26].…”
Section: Gas Network Modellingmentioning
confidence: 99%
“…), flow stream properties, and physical network parameters (like elevations and inclinations) [11,29]. In addition to these variables, state-of-the-art gas network models incorporate the gas demand (or load), uncertainty estimations, and seasonal fluctuations in demand in addition to providing the flexibility of incorporating the gas network models and simulation with those of the facilities at the users' end (such as electric grid models) [30][31][32].…”
Section: Gas Network Modellingmentioning
confidence: 99%