2020
DOI: 10.1016/j.compchemeng.2020.107060
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Stochastic optimization model for coordinated operation of natural gas and electricity networks

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Cited by 33 publications
(8 citation statements)
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References 40 publications
(76 reference statements)
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“…The pressure constraint on the nodes of gas is shown in (29). The range of gas flow within the gas pipeline is expressed in (30).…”
Section: Modeling Of the Economic Dispatch In The Power And Gas Networkmentioning
confidence: 99%
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“…The pressure constraint on the nodes of gas is shown in (29). The range of gas flow within the gas pipeline is expressed in (30).…”
Section: Modeling Of the Economic Dispatch In The Power And Gas Networkmentioning
confidence: 99%
“…To analyze the performance of the proposed model in different scenarios, the model is implemented on an IEEE 24-bus electricity network and a 15-node gas network (Figure 2) [29]. Due to the non-linear and binary conditions of the optimization problem, the CPLEX and DICOPT solvers of GAMS software [17] are used on a system with the following configurations: processor of Intel (R) Core (TM) i7-7500U @ 2.70 GHz 2.90 GHz and RAM of 12 GB.…”
Section: Test System and Scenariosmentioning
confidence: 99%
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“…To model the gas network, a 15-node test system [32,33] containing one terminal is used. The network has 16 pipelines, with loads on all nodes and one compressor at node 15.…”
Section: -Node Natural Gas Network Test Systemmentioning
confidence: 99%
“…Li and Liu [30] used the recursive decomposition method to analyze the seismic capability reliability and seismic connectivity reliability for the water distribution system and gas network. Using the scenario reduction algorithm, Shabazbegian et al [31] took into account the contingency analysis and role of flexibility options in the optimization process to increase gas supply stability. Moreover, the minimum cut-set method, which has been successfully applied to water supply network [32] but not found in the optimization of gas pipeline, is also an analytical method to evaluate the reliability of pressure supply.…”
Section: Introductionmentioning
confidence: 99%