2019
DOI: 10.1049/iet-gtd.2019.0323
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Reliability assessment of integrated energy system considering the uncertainty of natural gas pipeline network system

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Cited by 15 publications
(12 citation statements)
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References 23 publications
(28 reference statements)
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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%
See 1 more Smart Citation
“…, , 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%
“…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%
“…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%