Reliability assessment of integrated energy system considering the uncertainty of natural gas pipeline network system

Yang, Hanbiao; Zhang, Yeyu; Ma, Yinghao; Zhang, Dabo; Sun, Lei; Xia, Shiwei

doi:10.1049/iet-gtd.2019.0323

Cited by 15 publications

(12 citation statements)

References 23 publications

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“…, , s  and the active and reactive power flow in the branch ij will be limited to 0 according to (17). Moreover, since the parameter B is a large positive constant and , ij t s equals 0, the constraint (19) which refers to the relationship between the power flow in branches and the voltage of their connected buses will be relaxed for the branch ij . Similarly, the states of other components are considered in system constraints, as follows: , ,…”

Section: The Electricity System Constraintsmentioning

confidence: 99%

“…However, they mainly focus on the operation of IES under normal conditions. During contingencies, the network topology of the IES may be changed and the energy supply capacity of the IES may decrease dramatically [19], which will lead to inevitable load shedding to ensure system security. Thus, in the post-contingency dispatch, the financial aspects of load shedding have considerable impacts on the decision-making of participants, which is generally neglected in the previous energy market framework of the IES.…”

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

Coordinated post-contingency dispatch of integrated energy system with multiple participants based on distributed energy trading

Wang¹,

Bie²,

Wu³

et al. 2021

International Journal of Electrical Power & Energy Systems

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Section: The Electricity System Constraintsmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Coordinated post-contingency dispatch of integrated energy system with multiple participants based on distributed energy trading

Wang¹,

Bie²,

Wu³

et al. 2021

International Journal of Electrical Power & Energy Systems

View full text Add to dashboard Cite

show abstract

“…However, this method cannot directly express the overall system's risk status due to the different dimensions of risk and consequences. Therefore, scientists first grade each risk index and then quantify the severity of the system risk [19], such as equations ( 11)- (12). This method improves the risk probability and different dimensions.…”

Section: B Multi-weighted System Risk Gradingmentioning

confidence: 99%

“…Reference [11] modeled the Energy-Hub energy distribution process and analyzed the impact of gas network faults on the power grid. Reference [12] transferred the uncertainty of the gas network to the failure of the gas turbine and described the characteristics of risk transmission through coupled equipment. Reference [13] established a reliability model of complex behaviors among different subsystems of the energy system, and analyzed the influence of control methods on system reliability.…”

Section: Introductionmentioning

confidence: 99%

Risk Assessment of Offshore Micro Integrated Energy System Based on Fluid Mosaic Model

et al. 2020

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Offshore micro integrated energy systems are the basis of offshore oil and gas engineering. In order to evaluate its operational risks and ensure the safe development of marine resources, a risk assessment scheme for offshore micro integrated energy systems based on a risk fluid mosaic model is proposed. Aiming at the current situation that the traditional equipment material-energy conversion model has a large amount of modeling and does not fully reflect the system structure, a material-energy conversion model based on unified modeling is constructed, and a risk function is introduced to analyze the material-energy of the power equipment under risk conversion; At the same time, a risk fluid mosaic model based on the system structure and material-energy carrier is constructed to describe the dynamic behavior of risk from the material-energy flow; Aiming at the fact that the traditional risk grading model cannot reflect the overall risk of the system when multiple risks are involved, a multi-weighted system risk grading model is proposed to describe the overall risk situation of the system under multiple risks. The validity and rationality of the model and method proposed in this paper is verified by using an offshore oil and gas platform in the Bohai Sea as a simulation example.INDEX TERMS Offshore micro integrated energy system, unified modeling, risk fluid mosaic model, risk grading, risk assessment.

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“…Research on evaluating the reliability of an MCES based on the concept of energy hub [22] has been analyzed. Assessing the reliability of the MCES under the uncertainty of the natural gas pipeline network is accomplished in [23]. In this study, an analytical method that can provide a probabilistic aspect of gas network pipelines is adopted for evaluating the reliability of the integrated system.…”

Section: Introductionmentioning

confidence: 99%

Security Analysis of Hybrid Multi-Carrier Energy Systems

2021

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Multi-carrier energy systems (MCESs) provide collaboration between various kinds of energy carriers to supply the electricity, heating, and cooling demands. With the widespread use of MCESs in recent years, the security assessment of energy systems has attracted the attention of many contemporary researchers. However, the complexity of an MCES, including electrical, natural gas, and district heating networks, and different uncertainties imposes vast challenges to keep a safe operation energy supply. In this paper, a systematic methodology for the security analysis of MCESs is presented. For this purpose, considering electrical, natural gas, and district heating networks, an integrated model of energy systems is introduced. The security analysis of this framework is evaluated using some indices. In this approach, two well-known performance indices, including power performance index (PIP) and voltage performance index (PIV), are used to analyze the electrical networks’ security. Besides, the concept of Energy not supplied (ENS) is used for natural gas and district heating networks. In this regard, security analysis of a typical MCES including the IEEE 14-bus electrical network, the IEEE 30-bus electrical network, 20-node Belgian natural gas network, and 14-node district heating network is examined. The applicability of the proposed technique will be proven using comprehensive simulation analysis.

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Reliability assessment of integrated energy system considering the uncertainty of natural gas pipeline network system

Cited by 15 publications

References 23 publications

Coordinated post-contingency dispatch of integrated energy system with multiple participants based on distributed energy trading

Coordinated post-contingency dispatch of integrated energy system with multiple participants based on distributed energy trading

Risk Assessment of Offshore Micro Integrated Energy System Based on Fluid Mosaic Model

Security Analysis of Hybrid Multi-Carrier Energy Systems

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