An integrated transient model for simulating the operation of natural gas transport systems

Pambour, Kwabena Addo; Bolado-Lavín, Ricardo; Dijkema, Gerard P.J.

doi:10.1016/j.jngse.2015.11.036

Cited by 108 publications

(58 citation statements)

References 17 publications

(33 reference statements)

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“…with moderate computational cost, taking into account the physical laws governing the dynamic behavior of gas transport systems. The accuracy of the proposed gas model has been confirmed in [52,53], where it is benchmarked against a commercial software package. In the following we give a brief description of the physical equations used fro describing the gas system.…”

Section: Gas System Modelmentioning

confidence: 89%

“…The model is able to capture appropiately [52,53] the reaction of gas transport systems to load variations (i.e., daily and seasonal changes of gas demands at offtake points) and disruption events (e.g., loss of supply from an entry point, failure in a compressor station, etc.) with moderate computational cost, taking into account the physical laws governing the dynamic behavior of gas transport systems.…”

Section: Gas System Modelmentioning

confidence: 99%

“…In the following we give a brief description of the physical equations used fro describing the gas system. We refer to previous publications, for more details on the gas model implemented in SAInt [52][53][54]. Active Elements compressor models a compressor station with generic constraints, allows the specification of a control mode of the station (e.g., outlet pressure control, inlet pressure control, flow rate control etc.)…”

Section: Gas System Modelmentioning

confidence: 99%

“…For more details on the equations describing the control and active constraints of non-pipe facilities and the algorithm for solving the gas model we refer to [52][53][54].…”

Section: Node Type Description Facilitiesmentioning

confidence: 99%

“…The gas simulator SAInt was benchmarked against a commercial software in previous publications [52,53] and the power system simulator MATPOWER [51] is well known and accepted by the scientific community.…”

Section: Simulation Framework -Saintmentioning

confidence: 99%

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Development of a Simulation Framework for Analyzing Security of Supply in Integrated Gas and Electric Power Systems

et al. 2017

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Gas and power networks are tightly coupled and interact with each other due to physically interconnected facilities. In an integrated gas and power network, a contingency observed in one system may cause iterative cascading failures, resulting in network wide disruptions. Therefore, understanding the impacts of the interactions in both systems is crucial for governments, system operators, regulators and operational planners, particularly, to ensure security of supply for the overall energy system. Although simulation has been widely used in the assessment of gas systems as well as power systems, there is a significant gap in simulation models that are able to address the coupling of both systems. In this paper, a simulation framework that models and simulates the gas and power network in an integrated manner is proposed. The framework consists of a transient model for the gas system and a steady state model for the power system based on AC-Optimal Power Flow. The gas and power system model are coupled through an interface which uses the coupling equations to establish the data exchange and coordination between the individual models. The bidirectional interlink between both systems considered in this studies are the fuel gas offtake of gas fired power plants for power generation and the power supply to liquefied natural gas (LNG) terminals and electric drivers installed in gas compressor stations and underground gas storage facilities. The simulation framework is implemented into an innovative simulation tool named SAInt (Scenario Analysis Interface for Energy Systems) and the capabilities of the tool are demonstrated by performing a contingency analysis for a real world example. Results indicate how a disruption triggered in one system propagates to the other system and affects the operation of critical facilities. In addition, the studies show the importance of using transient gas models for security of supply studies instead of successions of steady state models, where the time evolution of the line pack is not captured correctly.

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Section: Gas System Modelmentioning

confidence: 89%

Section: Gas System Modelmentioning

confidence: 99%

Section: Gas System Modelmentioning

confidence: 99%

“…For more details on the equations describing the control and active constraints of non-pipe facilities and the algorithm for solving the gas model we refer to [52][53][54].…”

Section: Node Type Description Facilitiesmentioning

confidence: 99%

Section: Simulation Framework -Saintmentioning

confidence: 99%

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Development of a Simulation Framework for Analyzing Security of Supply in Integrated Gas and Electric Power Systems

et al. 2017

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Modelling Gas Networks with Compressors: A port‐Hamiltonian Approach

Bendokat,

Benner,

Grundel

et al. 2024

Proc Appl Math and Mech

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Transient gas network simulations can significantly assist in design and operational aspects of gas networks. Models used in these simulations require a detailed framework integrating various models of the network constituents ‐ pipes and compressor stations among others. In this context, the port‐Hamiltonian modelling framework provides an energy‐based modelling approach with a port‐based coupling mechanism. This study investigates developing compressor models in an integrated isothermal port‐Hamiltonian model for gas networks. Four different models of compressors are considered and their inclusion in a larger network model is detailed. A numerical implementation for a simple test case is provided to confirm the validity of the proposed model and to highlight their differences.

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Operation Condition Prediction for Pipeline

Zhang,

2023

Advanced Intelligent Pipeline Management Technology

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An integrated transient model for simulating the operation of natural gas transport systems

Cited by 108 publications

References 17 publications

Development of a Simulation Framework for Analyzing Security of Supply in Integrated Gas and Electric Power Systems

Development of a Simulation Framework for Analyzing Security of Supply in Integrated Gas and Electric Power Systems

Modelling Gas Networks with Compressors: A port‐Hamiltonian Approach

Operation Condition Prediction for Pipeline

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