Resilience assessment of China's natural gas system under supply shortages: A system dynamics approach

Ding, Yueting; Chen, Sai; Zheng, Yilei; Chai, Shanglei; Nie, Rui

doi:10.1016/j.energy.2022.123518

Cited by 24 publications

(5 citation statements)

References 32 publications

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“…Meanwhile, the global energy crisis also has significant impacts on resilient operation of power grid in modern city [71] . Soaring international prices for coal, oil and gas [72] will exacerbate energy shortages within the city.…”

Section: Reviewmentioning

confidence: 99%

“…Then, the power grid may suffer a resilience degradation after the event, as shown as the time period t 1 -t 2 . At the state of during and after event, the magnitude and speed of the degradation impact depends on the robustness [71] , absorption [81] , adaptability [82] and capacity of power grid [83] . In addition, the identification of critical components of power grid and the deployment of adaptive technologies in the power supply and demand sides are two main coping methods in this state, eliminating the negative impact as fast as possible.…”

Section: Resilience Curvementioning

confidence: 99%

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Resilient power grid for smart city

Song

Wan

et al. 2022

iEnergy

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Modern power grid has a fundamental role in the operation of smart cities. However, high impact low probability extreme events bring severe challenges to the security of urban power grid. With an increasing focus on these threats, the resilience of urban power grid has become a prior topic for a modern smart city. A resilient power grid can resist, adapt to, and timely recover from disruptions. It has four characteristics, namely anticipation, absorption, adaptation, and recovery. This paper aims to systematically investigate the development of resilient power grid for smart city. Firstly, this paper makes a review on the high impact low probability extreme events categories that influence power grid, which can be divided into extreme weather and natural disaster, human-made malicious attacks, and social crisis. Then, resilience evaluation frameworks and quantification metrics are discussed. In addition, various existing resilience enhancement strategies, which are based on microgrids, active distribution networks, integrated and multi energy systems, distributed energy resources and flexible resources, cyber-physical systems, and some resilience enhancement methods, including probabilistic forecasting and analysis, artificial intelligence driven methods, and other cutting-edge technologies are summarized. Finally, this paper presents some further possible directions and developments for urban power grid resilience research, which focus on power-electronized urban distribution network, flexible distributed resource aggregation, cyber-physicalsocial systems, multi-energy systems, intelligent electrical transportation and artificial intelligence and Big Data technology.

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Section: Reviewmentioning

confidence: 99%

Section: Resilience Curvementioning

confidence: 99%

Resilient power grid for smart city

Song

Wan

et al. 2022

iEnergy

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show abstract

“…It analyzes the causal relationship and feedback mechanisms among various decisions from a micro-structure perspective, according to mutual causal feedback characteristics of the internal components of the system. System dynamics can also predict the future dynamic behavior of a simulation system, and is suitable for analyzing the trend of complex systems over time [27,28]. Therefore, this section uses the system dynamics model to study the coordinated development of the hydrogen energy market, carbon trading market and electricity market.…”

Section: Model Constructionmentioning

confidence: 99%

What Is the Policy Effect of Coupling the Green Hydrogen Market, National Carbon Trading Market and Electricity Market?

Wang

Feng

et al. 2022

Sustainability

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Green hydrogen has become the key to social low-carbon transformation and is fully linked to zero carbon emissions. The carbon emissions trading market is a policy tool used to control carbon emissions using a market-oriented mechanism. Building a modular carbon trading center for the hydrogen energy industry would greatly promote the meeting of climate targets. Based on this, a “green hydrogen market—national carbon trading market–electricity market” coupling mechanism is designed. Then, the “green hydrogen market—national carbon trading market–electricity market” mechanism is modeled and simulated using system dynamics. The results are as follows: First, coupling between the green hydrogen market, carbon trading market and electricity market can be realized through green hydrogen certification and carbon quota trading. It is found that the coupling model is feasible through simulation. Second, simulation of the basic scenario finds that multiple-market coupling can stimulate an increase in carbon price, the control of thermal power generation and an increase in green hydrogen production. Finally, the proportion of the green hydrogen certification, the elimination mechanism of outdated units and the quota auction mechanism will help to form a carbon pricing mechanism. This study enriches the green hydrogen trading model and establishes a multiple-market linkage mechanism.

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“…(3) System dynamics (SD) modeling. To examine the resilience of China's NG system under supply shortages, Ding et al analyzed the system recovery process after a supply shortage using SD modeling [15]. Badr et al developed a resilience-centric SD simulation model to estimate the dynamic resilience of hydropower dam systems in multi-hazard environments [16].…”

Section: Introductionmentioning

confidence: 99%

Modeling and Improvement Strategies for Safety Resilience in Maritime Hazardous Chemical Transportation System Based on Dissipative Structure Theory and System Dynamics

Yuan,

Sun,

Zhang

et al. 2024

JMSE

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Maritime hazardous chemical transportation accidents have the characteristics of strong suddenness, wide influence, and great harm. To analyze the ability of a maritime hazardous chemical transportation system (MHCTS) to cope with sudden disturbance events, “resilience” is introduced into MHCTS safety research. The key to studying resilience is modeling its evolutionary process. Based on the dissipative structure theory, this study analyzes the entropy flow mechanism of MHCTS safety resilience evolution. Through a statistical analysis of 197 investigation reports on maritime hazardous chemical transportation accidents, the factors influencing the safety resilience of the MHCTS were determined. The entropy value and weight of each influencing factor were calculated using the entropy method and entropy weight method, respectively. Based on this, an entropy model of the safety resilience evolution of the MHCTS was established. The evolution process falls under four categories of disturbance strengths, which were simulated using the system dynamics method. The degree of contribution of absorptive, adaptive, and restorative capacities to the improvement of system safety resilience under four disturbance conditions and the sensitivity of each influencing factor to the absorptive, adaptive, and restorative capacities were analyzed. Based on the analyses, targeted resilience improvement strategies are proposed. The research results provide a theoretical reference for the study of safety resilience mechanisms and resilience management in the MHCTS.

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Resilience assessment of China's natural gas system under supply shortages: A system dynamics approach

Cited by 24 publications

References 32 publications

Resilient power grid for smart city

Resilient power grid for smart city

What Is the Policy Effect of Coupling the Green Hydrogen Market, National Carbon Trading Market and Electricity Market?

Modeling and Improvement Strategies for Safety Resilience in Maritime Hazardous Chemical Transportation System Based on Dissipative Structure Theory and System Dynamics

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