Optimal Design of Distributed Generator Capacity in Microgrids Considering Life Cycle Cost

Author(s):  
Haoming Liu ◽  
Fengqin Kang ◽  
Shanshan Li ◽  
Xiaoling Yuan
2014 ◽  
Vol 919-921 ◽  
pp. 577-582 ◽  
Author(s):  
Myung Seok Bang

This study was intend to develop the optimal design method of suspension bridge by the reliability analysis based on minimization of life cycle cost (LCC). The reliability analysis was performed considering aleatory uncertainties included in the result of numerical analysis. The optimal design was estimated based on life-cycle cost analysis depending on the result of reliability analysis. As the effect of epistemic uncertainty, the safety index (beta), failure probability (pf) and minimum life cycle cost were random variables. The high-level distributions were generated, from which the critical percentile values were obtained for a conservative bridge design through sensitivity assessment.


2011 ◽  
Vol 133 (3) ◽  
Author(s):  
Wenxing Zhou ◽  
Maher A. Nessim

The optimal design level for onshore natural gas pipelines was explored through a hypothetical example, whereby the pipe wall thickness was assumed to be the sole design parameter. The probability distributions of the life-cycle costs of various candidate designs for the example pipeline were obtained using Monte-Carlo simulation. The life-cycle cost included the cost of failure due to equipment impact and external corrosion, and the cost of periodic maintenance actions for external corrosion. The cost of failure included both the cost of fatality and injury as well as the cost of property damage and value of lost product. The minimum expected life-cycle cost criterion and stochastic dominance rules were employed to determine the optimal design level. The allowable societal risk level was considered as a constraint in the optimal design selection. It was found that the Canadian Standard Association design leads to the minimum expected life-cycle cost and satisfies the allowable societal risk constraint as well. A set of optimal designs for a risk-averse decision maker was identified using the stochastic dominance rules. Both the ASME and CSA designs belong to the optimal design set and meet the allowable societal risk constraint.


Structures ◽  
2021 ◽  
Vol 34 ◽  
pp. 4041-4059
Author(s):  
Ali Ghasemof ◽  
Masoud Mirtaheri ◽  
Reza Karami Mohammadi ◽  
Mohammad Reza Mashayekhi

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