2019
DOI: 10.1007/s40565-019-0515-8
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Reliability evaluation of modular multilevel converter based on Markov model

Abstract: The modular multilevel converter (MMC) is now the most attractive topology for medium and high voltage power conversion applications with several advantages over the traditional voltage source converter (VSC). However, due to a large number of sub-modules (SMs) in the MMC, system reliability is a big challenge in its practical application, where each SM may be considered as a potential point of failure. In this paper, a reliability evaluation based on the Markov model is proposed for the MMC. The failure rates… Show more

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Cited by 16 publications
(13 citation statements)
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“…We can see that the sensitivity result of μ i can be easily calculated using (7) and (8) as long as F B is obtained.…”
Section: ) Sensitivity Index With Respect To Component Repair Durationmentioning
confidence: 96%
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“…We can see that the sensitivity result of μ i can be easily calculated using (7) and (8) as long as F B is obtained.…”
Section: ) Sensitivity Index With Respect To Component Repair Durationmentioning
confidence: 96%
“…The sensitivity result of one parameter is only valid if the other parameters remain unchanged. If the other parameters change, the sensitivity result is invalid and should be re-calculated [8].…”
Section: Introductionmentioning
confidence: 99%
“…The voltage source converters based HVDC grids are expected to integrate large-scale renewable energy located far from the load center in the future [1]- [2]. Especially, with the development of the modular multilevel converter (MMC) [3], it becomes more feasible to apply the flexible HVDC transmission.…”
Section: Introductionmentioning
confidence: 99%
“…The sensitivity analysis method is split into two methods such as perturbation method 17 and partial derivative method, 18 which are used to evaluate the reliability indices. Several reliability indices are calculated in Reference 19 and are given as ENS (energy not supplied), SAIDI (system average interruption duration index), SAIFI (system average interruption frequency index), and ASAI (average service availability index) 20,21 …”
Section: Introductionmentioning
confidence: 99%