Reliability modeling of capacitor bank for Modular Multilevel Converter based on Markov State-Space Model

Najmi, Vahid; Wang, Jun; Burgos, Rolando; Boroyevich, Dushan

doi:10.1109/apec.2015.7104733

Cited by 15 publications

(4 citation statements)

References 21 publications

(17 reference statements)

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“…It is important to highlight that the values obtained by (1) and (2) represent the total converter capacitance values, that is, even though CHB-SDC has three times fewer capacitors, it has 10 times less total capacitance used than the classic CHB for the same voltage ripple values design. That is, considering Regarding the number of capacitors necessary to produce the appropriate DC-link ripple values, the CHB-SDC structure, besides presenting a smaller number of capacitors than single-phase structures, presents total capacitance values, on average, six times lower than the classical CHB topology [27,[32][33][34][35]. Some studies claim that these values can be up to 10 times lower [28,[36][37][38], demonstrating evident superiority of three-phase structures over single-phase structures in terms of the total capacitance.…”

Section: The Chb-sdc Topologymentioning

confidence: 99%

A Novel Cascaded Multilevel Converter Topology Based on Three-Phase Cells—CHB-SDC

et al. 2020

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This paper proposes a new cascaded multilevel converter topology based on three-phase H bridge cells with a common DC-link structure. The proposed multilevel converter topology main advantages, compared with literature renowned multilevel converters topologies, are discussed in the paper, such as modularity, construction, implementation cost, and DC voltage ripple mitigation. Despite presenting an elementary structure and easy implementation, the use of classic PWM switching strategies is not feasible for this topology, causing the appearance of several short-circuit states between its capacitors. Thus, a graph theory algorithm combined with a model predictive control is also proposed in this work to identify and avoid the new cascaded multilevel converter short-circuit switching states and, concomitantly, guaranteeing the converter output power quality. In order to validate the presented topology applicability, a low voltage synchronous static compensators (STATCOM) with an optimal switching vector model predictive control (OSV-MPC) is implemented in a hardware-in-the-loop platform. The real-time experimental results prove the proposed multilevel topology and the OSV-MPC control strategy effectiveness.

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Section: The Chb-sdc Topologymentioning

confidence: 99%

A Novel Cascaded Multilevel Converter Topology Based on Three-Phase Cells—CHB-SDC

et al. 2020

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“…The Markov model can be used to estimate a variety of reliability indexes, such as the failure rate, the mean time to failure (MTTF), the reliability and the availability [24,25].…”

Section: Summary Of Markov Reliability Modelmentioning

confidence: 99%

Reliability evaluation of modular multilevel converter based on Markov model

Zhang

Ting

et al. 2019

J. Mod. Power Syst. Clean Energy

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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 of the power electronic devices and SMs are firstly analyzed. Then, the Markov model and the state transition equation of the system are built in detail. A general reliability evaluation function is established, in which the mean time to failure and reliability evaluation of the MMC with redundant SMs are also discussed. Finally, a practical direct current (DC) distribution example for reliability evaluation is analyzed, and the results verify that the reliability evaluation based on the Markov model could provide a useful reference for project design.

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“…In power electronics, this modelling tool has been used by Zhang et al to investigate the reliability of modular converters for wind turbines [19] based on a patented design [9]. Furthermore, Najmi et al use Markov models to model the reliability of capacitor banks for modular multilevel converters [20], and McDonald et al investigate parallel wind turbine powertrains in [21]. Other work has used variations of these methods to investigate redundancy in converters; such as that of HVDC MMC modules in [22], and parallel-inverter systems in [23].…”

Section: Introductionmentioning

confidence: 99%

Availability of Wind Turbine Converters With Extreme Modularity

Shipurkar

Dong

Polinder

et al. 2018

IEEE Trans. Sustain. Energy

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Modularity is promising from a view to increasing turbine availability through fault tolerant operation as well as reduced downtimes, especially for offshore wind turbines. This paper focuses on a quantitative analysis of large scale (or extreme) modularity in power electronic converters of wind turbine generator systems. It uses mathematical models to investigate the effect of the choice of module number on the availability of a converter. It further analyses the availability in conditions where increased levels of modularity lead to a reduction of failure rates in the system. The paper extends this analysis by quantifying the benefits for a 10-MW case study turbine. Finally, it concludes that extreme modularity holds merit only when it is accompanied by a reduction in failure rates.

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Reliability modeling of capacitor bank for Modular Multilevel Converter based on Markov State-Space Model

Cited by 15 publications

References 21 publications

A Novel Cascaded Multilevel Converter Topology Based on Three-Phase Cells—CHB-SDC

A Novel Cascaded Multilevel Converter Topology Based on Three-Phase Cells—CHB-SDC

Reliability evaluation of modular multilevel converter based on Markov model

Availability of Wind Turbine Converters With Extreme Modularity

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