Modelling of MMC-HVDC Systems – An Overview

Beddard, Antony; Barnes, Michael

doi:10.1016/j.egypro.2015.11.423

Cited by 48 publications

(24 citation statements)

References 23 publications

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“…The cable is represented using a Frequency Dependent Phase Cable Model (FDPCM). More information on the model including controls and parameters can be found in [18]. A 20µs time-step is used for all models.…”

Section: Simulation Resultsmentioning

confidence: 99%

Improved Accuracy Average Value Models of Modular Multilevel Converters

Beddard

Sheridan

Barnes

et al. 2016

IEEE Trans. Power Delivery

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Section: Simulation Resultsmentioning

confidence: 99%

Improved Accuracy Average Value Models of Modular Multilevel Converters

Beddard

Sheridan

Barnes

et al. 2016

IEEE Trans. Power Delivery

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“…More specifically, MMC offers reduced converter losses mainly because of the achieved drop in the operational switching frequency [27]. Moreover, MMC has higher robustness through the use of redundant submodules, as well as higher scalability due to the ease of construction.…”

Section: Converter Efficiencymentioning

confidence: 99%

Grid capacity and efficiency enhancement by operating medium voltage AC cables as DC links with modular multilevel converters

Shekhar

Kontos

Ramírez-Elizondo

et al. 2017

International Journal of Electrical Power & Energy Systems

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a b s t r a c tIt is anticipated that with the thrust towards use of clean energy resources such as electric vehicles, future distribution grids will face a steep increase in power demand, forcing the utility operators to invest in enhancing the power delivering capacity of the grid infrastructure. It is identified that the critical 5-20 km medium voltage (MV) underground ac distribution cable link, responsible for bulk power delivery to the inner urban city substation, can benefit the most with capacity and efficiency enhancement, if the existing infrastructure is reused and operated under dc. Quantification of the same is offered in this paper by incorporating all influencing factors like voltage regulation, dc voltage rating enhancement, capacitive leakage currents, skin and magnetic proximity effect, thermal proximity effect and load power factor. Results are presented for three different ac and dc system topologies for varying cable lengths and conductor cross-sections. The computed system efficiency is enhanced with use of modular multilevel converters that have lower losses due to lower switching frequency. A justified expectation of 50-60% capacity gains is proved along with a generalized insight on its variations that can be extrapolated for different network parameters and configurations. Conditions for achieving payback time of 5 years or lower due to energy savings are identified, while the socio-economic benefits of avoiding digging and installing new cable infrastructure are highlighted. The technical implications of refurbishing cables designed for ac to operate under dc conditions is discussed in terms of imposed electric fields, thermal profile and lifetime. A novel opportunity of temperature dependent dynamic dc voltage rating to achieve additional capacity and efficiency gains is presented.

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“…This gain was selected to prevent the DC voltages from exceeding their normal operating range by ±2% [14]. The series resistance of the DC cables is approximately 0.0113Ω/km with a shunt conductance of 10 -7 S/km [15]. …”

Section: Impact Of Parameter Uncertainty On Nawcmentioning

confidence: 99%

Impact of Parameter Uncertainty on Power Flow accuracy in multi-terminal systems

Beddard

Wang

Barnes

et al. 2016

2016 IEEE Power and Energy Society General Meeting (PESGM)

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Abstract-Accurate power flow in a MT system can be achieved with droop controllers. However, almost all publications have assumed that the DC voltage, DC current and DC cable resistances can be measured with 100% accuracy. In this paper, a novel power flow solver is developed which enables the user to analyse the impact of these parameters on power flow accuracy. The developed Parameter Uncertainty Power Flow Solver (PU-PFS) is shown to be able to accurately calculate the power flow error for hundreds of parameter uncertainty scenarios in less than a second. The PU-PFS is employed to investigate the impact of parameter uncertainty on a potential MT system and the results show that realistic measurement errors (0.2%) can result in significant power flow error (>150MW). Finally, the paper assesses the key factors which influence the power flow accuracy resulting in a number of important conclusions.

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Modelling of MMC-HVDC Systems – An Overview

Cited by 48 publications

References 23 publications

Improved Accuracy Average Value Models of Modular Multilevel Converters

Improved Accuracy Average Value Models of Modular Multilevel Converters

Grid capacity and efficiency enhancement by operating medium voltage AC cables as DC links with modular multilevel converters

Impact of Parameter Uncertainty on Power Flow accuracy in multi-terminal systems

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