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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Copyright Year | 2003 |
| Abstract | The objective of this paper is to present an efficient methodology to obtain the optimal system structure for power electronic devices using various component types, while considering the constraints on reliability and cost. The component failure rate uncertainty is taken under consideration and it is modeled with two alternative probability distribution functions. The Latin Hypercube Sampling method is used to simulate the probability distributions and the efficiency of this stratified sampling method is compared with the typical Monte Carlo analysis method. The optimization methodology being used was the simulated annealing algorithm because of its flexibility to be applied in various system types with various constraints and its efficiency in computational time. The developed methodology was applied to a power electronic device and the results were compared with the results of the complete enumeration of the solution space. The stochastic nature of the top solutions was sampled extensively and the robustness of the optimization methodology was demonstrated. Finally, a typical power electronic device is used as a case study and the obtained results are presented. |
| Sponsorship | IEEE Power Eng. Soc |
| File Size | 542182 |
| File Format | |
| ISBN | 0780379675 |
| DOI | 10.1109/PTC.2003.1304733 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2003-06-23 |
| Publisher Place | Italy |
| Access Restriction | Subscribed |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | Cost function Power electronics Uncertainty Power system reliability Probability distribution Sampling methods Computational modeling Power system modeling Hypercubes Analytical models |
| Content Type | Text |
| Resource Type | Article |
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