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Aleksei I. Bardanov
Assistant Professor, Ph.D.
Saint Petersburg Mining University
Personal or department link
Assistant Professor, Ph.D.
Personal or department link
Saint Petersburg Mining University
Saint Petersburg
Total cited
Hirsch index


Electromechanics and mechanical engineering
  • Date submitted
  • Date accepted
  • Date published

Multi-terminal dc grid overall control with modular multilevel converters

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This paper presents a control philosophy for multiterminal DC grids, which are embedded in the main AC grid. DC transmission lines maintain higher power flow at longer distances compared with AC lines. The voltage losses are also much lower. DC power transmission is good option for Russian north. Arctic seashore regions of Russia don't have well developed electrical infrastructure therefore power line lengths are significant there. Considering above it is possible to use DC grids for supply mining enterprises in Arctic regions (offshore drilling platforms for example). Three different control layers are presented in an hierarchical way: local, primary and secondary. This whole control strategy is verified in a scaled three-nodes DC grid. In one of these nodes, a modular multilevel converter (MMC) is implemented (five sub-modules per arm). A novel model-based optimization method to control AC and circulating currents is discussed. In the remaining nodes, three-level voltage source converters (VSC) are installed. For their local controllers, a new variant for classical PI controllers are used, which allow to adapt the values of the PI parameters with respect to the measured variables. Concerning the primary control, droop control technique has been chosen. Regarding secondary level, a new power flow technique is suggested. Unbalance conditions are also verified in order to show the robustness of the whole control strategy.

How to cite: Jiménez Carrizosa M., Stankovic N., Vannier J.-C., Shklyarskiy Y.E., Bardanov A.I. Multi-terminal dc grid overall control with modular multilevel converters // Journal of Mining Institute. 2020. Vol. 243. p. 357. DOI: 10.31897/PMI.2020.3.357