### Abstract

The matrix converter solid state transformer (MC-SST), formed from the back-to-back connection of two three-to-single-phase matrix converters, is studied for use in the interconnection of two ac grids. The matrix converter topology provides a light weight and low volume single-stage bidirectional ac-ac power conversion without the need for a dc link. Thus, the lifetime limitations of dc-bus storage capacitors are avoided. However, space vector modulation of this type of MC-SST requires to compute vectors for each of the two MCs, which must be carefully coordinated to avoid commutation failure. An additional controller is also required to control power exchange between the two ac grids. In this paper, model predictive control (MPC) is proposed for an MC-SST connecting two different ac power grids. The proposed MPC predicts the circuit variables based on the discrete model of MC-SST system and the cost function is formulated so that the optimal switch vector for the next sample period is selected, thereby generating the required grid currents for the SST. Simulation and experimental studies are carried out to demonstrate the effectiveness and simplicity of the proposed MPC for such MC-SST-based grid interfacing systems.

Original language | English |
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Title of host publication | ECCE 2016 - IEEE Energy Conversion Congress and Exposition, Proceedings |

Publisher | Institute of Electrical and Electronics Engineers Inc. |

ISBN (Electronic) | 9781509007370 |

DOIs | |

Publication status | Published - 13 Feb 2017 |

Event | 2016 IEEE Energy Conversion Congress and Exposition, ECCE 2016 - Milwaukee, United States Duration: 18 Sep 2016 → 22 Sep 2016 |

### Other

Other | 2016 IEEE Energy Conversion Congress and Exposition, ECCE 2016 |
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Country | United States |

City | Milwaukee |

Period | 18/9/16 → 22/9/16 |

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### Keywords

- ac-ac power conversion
- model predictive control
- power management
- Solid state transformer

### ASJC Scopus subject areas

- Control and Systems Engineering
- Electrical and Electronic Engineering
- Energy Engineering and Power Technology
- Control and Optimization

### Cite this

*ECCE 2016 - IEEE Energy Conversion Congress and Exposition, Proceedings*[7855250] Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/ECCE.2016.7855250