Reliability Evaluation of Distribution System Considering Composite Uncertainty Factors

Dong, Lei; Li, Jia; Bao, Hai

doi:10.1109/appeec.2009.4918647

Cited by 4 publications

(6 citation statements)

References 13 publications

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“…EAC ij (12) 5. Compute the simulated total expected available capacity (TEAC sim ) of the generation system, which is the sample mean (Y ) of the simulated total expected available capacity over n number of replications.…”

Section: B Phase 2: Building and Running The Modelmentioning

confidence: 99%

“…Examples of independent outage include planned outage to perform scheduled maintenance or forced outage due to inherent aging. In contrast, dependent outage may take several forms including, for example, common-cause outage, component group outage, cascading outage, and weather-based outage [1]- [12]. All outage models share the attribute of being random and uncertain in terms of nature, outage time, and recovery time; nonetheless, planned outage can also be modelled as a certain activity performed at a scheduled time during a specific time interval such as preventive maintenance or scheduled replacement.…”

Section: Introductionmentioning

confidence: 99%

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Optimizing the Utilization Rate for Electric Power Generation Systems: A Discrete-Event Simulation Model

Aldhubaib

Kashef

2020

IEEE Access

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The problem of measuring the availability of generation units in electric power systems has been addressed in the literature by using a set of analytical equations and Monte Carlo Simulation (MCS). MCS, as a powerful simulation tool, is much easier to use than analytical approaches in measuring the availability of large applications. However, the simulated process using MCS entails deducing the operating state sequences for each component along the simulated time followed by combining all sequences for all components in order to deduce system availability. This simulated process is both lengthy and timeconsuming. This paper introduces a new method to measure the availability of generation units and optimize their utilization using Discrete Event Simulation (DES) model. The experimental result of a real case study illustrates the efficiency of using DES.

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Section: B Phase 2: Building and Running The Modelmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Optimizing the Utilization Rate for Electric Power Generation Systems: A Discrete-Event Simulation Model

Aldhubaib

Kashef

2020

IEEE Access

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“…The reliability evaluation of transmission grid has also made more achievements in terms of computational models and evaluation methods. The commonly used reliability evaluation methods for transmission grid in engineering include analytical method, simulating method, operational evaluating method, convolutional algorithm, and so on [12]- [15]. In the literature [12], the reliability evaluation is based on the Monte Carlo method, which takes into account the error rate of the equipment in different periods and the influence of the climatic factors.…”

Section: Introductionmentioning

confidence: 99%

“…The commonly used reliability evaluation methods for transmission grid in engineering include analytical method, simulating method, operational evaluating method, convolutional algorithm, and so on [12]- [15]. In the literature [12], the reliability evaluation is based on the Monte Carlo method, which takes into account the error rate of the equipment in different periods and the influence of the climatic factors. The obtained reliability index can better reflect the actual system situation, but may require a large computational effort in large-scale grids if more periods are considered.…”

Section: Introductionmentioning

confidence: 99%

A reliability evaluation method for transmission grid based on risk theory

Que

Jiang

Lai

et al. 2023

Third International Conference on Mechanical Design and Simulation (MDS 2023)

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Reliability evaluation is a fundamental problem to be solved in power system planning and operation, which is of great significance to ensure power supply and provide support for security warning of the power grid. A reliability evaluation method for transmission grid based on risk theory is proposed in this paper, which effectively combines the fault occurrence probability and the result of load loss due to the contingencies, quantitatively describes the reliability evaluation index under different contingencies. This method can provide a comprehensive total reliability evaluation index of the system under different line fault probabilities, which cam reflect the relative reliability of the transmission grid network. Finally, simulation tests are conducted in the IEEE-24 bus system and the effectiveness of the proposed method is verified.

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“…Since all of these factors are indeterminate, some research has considered them collectively (Dong et al, 2009;Wang et al, 2002).…”

Section: Introductionmentioning

confidence: 99%

Distribution system reliability evaluation using credibility theory

Xu¹,

Mitra²

2010

Int. J. Eng. Sci. Tech

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This paper describes a new method of using credibility theory to evaluate distribution system reliability. The advantage of this method lies in its ability to account for both objective and subjective uncertainty by integrating stochastic and fuzzy approaches. Equipment failures are modeled as random events, while the uncertainty in failure indices is modeled using credibility theory. In this manner, distribution system reliability is evaluated by simultaneously considering objective and subjective uncertainty. In this paper, a hybrid algorithm based on fuzzy simulation and Failure Mode and Effect Analysis (FMEA) is applied to determine fuzzy reliability indices of distribution system. This approach can obtain fuzzy expected values and their variances of reliability indices, and the credibilities of reliability indices meeting specified targets. The method is demonstrated using an IEEE test system comprising sixty seven nodes and thirty eight load points.

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Reliability Evaluation of Distribution System Considering Composite Uncertainty Factors

Cited by 4 publications

References 13 publications

Optimizing the Utilization Rate for Electric Power Generation Systems: A Discrete-Event Simulation Model

Optimizing the Utilization Rate for Electric Power Generation Systems: A Discrete-Event Simulation Model

A reliability evaluation method for transmission grid based on risk theory

Distribution system reliability evaluation using credibility theory

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