2021
DOI: 10.1016/j.ress.2021.107447
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Quantification of the resilience of integrated energy systems using dynamic simulation

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Cited by 36 publications
(16 citation statements)
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“…Based on these simulation results, a quantitative assessment of the system's behavior is now possible. Senkel, Bode, and Schmitz (2021) describe a suitable approach and provide more information on the simulation of a system's resilience using Modelica.…”
Section: Simulation Resultsmentioning
confidence: 99%
See 1 more Smart Citation
“…Based on these simulation results, a quantitative assessment of the system's behavior is now possible. Senkel, Bode, and Schmitz (2021) describe a suitable approach and provide more information on the simulation of a system's resilience using Modelica.…”
Section: Simulation Resultsmentioning
confidence: 99%
“…The power provision is controlled according to the merit order: PV and wind plants -CCP plantdischarging the electric energy storagegarbage incineration plantbiomass incineration plant. For more detailed information including parametrization, refer to Senkel, Bode, and Schmitz (2021).…”
Section: Model Descriptionmentioning
confidence: 99%
“…Articles [2][3][4][5][6][7][8][9][10][11][12][13][14][15][16][17][18][19][20] present studies aimed at modeling integrated energy systems and optimizing their energy flows. Let us look at some of the studies in more detail.…”
Section: Reviewmentioning
confidence: 99%
“…Study [19] demonstrates the use of dynamic modeling to simulate and evaluate the stability of an integrated energy system that includes three energy carriers: electricity, heat, and gas. In the power grid, the authors implemented three aggregated consumers with standard load profiles: industry, agriculture, and households.…”
Section: Reviewmentioning
confidence: 99%
“…Moreover, due to the increasing occurrence of outages and the growing interdependencies between networks, it is vital to understand the resilience of critical infrastructure systems. The most notable existing studies have presented improved approaches to measure resilience and have proposed better decision-making processes for recovery planning after a disruptive event [10][11][12]. These works have not only identified faster recovery but have also proposed mechanisms to improve the responsiveness of a network.…”
Section: Introductionmentioning
confidence: 99%