Long Horizon, Quadratic Programming Based Model Predictive Control (MPC) for Grid Connected Modular Multilevel Converters (MMC)


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Date

2019

Publication Type

Conference Paper

ETH Bibliography

yes

Citations

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Data

Abstract

Excellent control performance is a prerequisite to operate compact modular multilevel converter (MMC) designs that employ very small module capacitance values. This paper presents a novel model predictive control (MPC) scheme featuring a linear and accurate prediction model to overcome the drawbacks of comparable control schemes. The MPC is based on a modulator that determines the switching states of the individual modules to guarantee scalability of the algorithm also for MMCs with a high number of modules. The control performance of the proposed MPC scheme is evaluated with simulations and compared to a classic cascaded PI-controller scheme.

Publication status

published

Editor

Book title

IECON 2019 - 45th Annual Conference of the IEEE Industrial Electronics Society

Journal / series

Volume

Pages / Article No.

1805 - 1812

Publisher

IEEE

Event

45th Annual Conference of the IEEE Industrial Electronics Society (IECON 2019)

Edition / version

Methods

Software

Geographic location

Date collected

Date created

Subject

Modular Multilevel Converter (MMC, M2C); Model Predictive Control (MPC); Circulating current control; Energy balancing

Organisational unit

03889 - Biela, Jürgen / Biela, Jürgen check_circle

Notes

Funding

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