Dynamic availability and performance deficiency of common bus systems with imperfectly repairable components

Levitin, Gregory; Xing, Liudong; Huang, Hong Zhong

doi:10.1016/j.ress.2019.04.007

Cited by 35 publications

(11 citation statements)

References 25 publications

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“…A transition state probability graph based on Table 4 for the WEGS is given by Figure 9. The mean or average instantaneous electric power generation, G t by the WEGS at time, t based on Table 3 is given as follows [14] [15]:…”

Section: Combined Wegs and Electric Power Demand Modelmentioning

confidence: 99%

“…Assuming the average electric power demand is 90 MW (which is the average of the four electric power demands at the various transition states), the WEGS mean instantaneous generation deficiency, G def is obtained as follows [14] where, G def is the generation deficiency, d av is average electric power demand,…”

Section: Combined Wegs and Electric Power Demand Modelmentioning

confidence: 99%

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Reliability Analysis of Wind Energy Generation System Using Stochastic Method

Diamenu¹,

Attachie²,

Amuzuvi³

2022

JPEE

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Operators of renewable energy systems (RESs) must always manage uncertainty to some extent to ensure the reliability and the security of the electric power supply source. The guiding principle in this regard is to ensure service reliability and quality by balancing load variations with the variable renewable energy (VRE) sources. If the power generated by these VRE sources is not properly managed in conjunction with the varying load, the power grid may fail to achieve the required balance. To ensure its reliable operation, reliability analysis is vital for wind energy generation system (WEGS). This paper evaluated and assessed the reliability of WEGS and a proposed varying load by first using a stochastic approach to model the WEGS and the proposed varying load after which power generation indices were used to evaluate and assess the performance of the model. The WEGS and the varying load were modelled separately after which the two were combined into one model. Full availability, partial availability, the expected energy not supplied (EENS) or loss of energy expectation (LOEE), the mean or average instantaneous electric power generation and mean instantaneous generation deficiency were the indices used for the evaluation of the WEGS. The results indicated that the electric power generation will meet the power demand during most of the transition states of the WEGS with the expectation that the variation in the load will not be at fast pace and in large quantum.

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Section: Combined Wegs and Electric Power Demand Modelmentioning

confidence: 99%

Section: Combined Wegs and Electric Power Demand Modelmentioning

confidence: 99%

Reliability Analysis of Wind Energy Generation System Using Stochastic Method

Diamenu¹,

Attachie²,

Amuzuvi³

2022

JPEE

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show abstract

“…They present an exact as well as an approximate method to develop a tradeoff among these control variables. These authors also advocate in [15] Can we make the model more realistic by allowing arbitrary lifetime and [7], the authors proposed a discrete-state continuoustime stochastic process to evaluate instantaneous availability for a common bus performance sharing (CBPS) system. The technique involves integration with respect to the joint distribution of < T j , X j > (where T j denotes the detection time of the failure of the j th component and X j denotes the operation time).…”

Section: Availability In Some Other Modelsmentioning

confidence: 99%

Computing limiting average availability of a repairable system through discretization

Chatterjee

Sarkar

2020

Reliability Engineering & System Safety

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Formulas for limiting average availability of a repairable system exist only for some special cases: (1) either the lifetime or the repair time is exponential; or (2) there is one spare unit and one repair facility. We consider a more general setting involving several spare units and several repair facilities; and we allow arbitrary life-and repair time distributions. Under periodic monitoring, which essentially discretizes the time variable, we compute the limiting average availability. The discretization approach closely approximates the existing results in the special cases; and increases the limiting average availability as we include additional spare unit or additional repair facility.

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“…Existing reliability models have mainly focused on systems with single failure mode. 1–9 However, most engineering systems such as wireless sensor networks, the Internet of things, intelligent power systems and cloud computing systems are subject to complex failure modes due to the complex system structure and failure behavior. 10–12 For example, electronic systems may fail when solder interface breaks due to fatigue or electrical signal (voltage, current or light intensity) reduces to unacceptable level due to aging degradation.…”

Section: Introductionmentioning

confidence: 99%

Availability analysis and maintenance optimization for multiple failure mode systems considering imperfect repair

Qiu

Liu

Lin

et al. 2021

Proceedings of the Institution of Mechanical Engineers, Part O:

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This paper studies the availability and optimal maintenance policies for systems subject to competing failure modes under continuous and periodic inspections. The repair time distribution and maintenance cost are both dependent on the failure modes. We investigate the instantaneous availability and the steady state availability of the system maintained through several imperfect repairs before a replacement is allowed. Analytical expressions for system availability under continuous and periodic inspections are derived respectively. The availability models are then utilized to obtain the optimal inspection and imperfect maintenance policy that minimizes the average long-run cost rate. A numerical example for Remote Power Feeding System is presented to demonstrate the application of the developed approach.

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Dynamic availability and performance deficiency of common bus systems with imperfectly repairable components

Cited by 35 publications

References 25 publications

Reliability Analysis of Wind Energy Generation System Using Stochastic Method

Reliability Analysis of Wind Energy Generation System Using Stochastic Method

Computing limiting average availability of a repairable system through discretization

Availability analysis and maintenance optimization for multiple failure mode systems considering imperfect repair

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