3.8 Proceedings Paper

Model Predictive Controlled Common Ground Power Converter for Universal AC/DC Microgrid Applications

Publisher

IEEE
DOI: 10.1109/CPERE56564.2023.10119534

Keywords

Common ground topology; model predictive control (MPC); photovoltaic (PV); universal AC/DC microgrid

Ask authors/readers for more resources

This paper addresses the integration and control issues of renewable energy systems in applications with wide range of voltage levels, multiple sources integration, and different grid connections. A new common ground power converter structure is proposed for photovoltaic (PV) integration with universal single-phase AC/DC microgrids. Model predictive control (MPC) is applied for controlling the proposed topology at both AC and DC microgrid connections. The proposed topology reduces component structure and the MPC method achieves fast response with controlling multiple objectives using a single objective function. Simulation results with various connection types, current stepping, DC-link voltage changes, and reactive power support are provided.
The integration and control of renewable energy systems represent critical issues, especially at applications with wide range of voltage levels, multiple sources integration, and different grid connections (AC and DC). This paper presents a new common ground power converter structure for photovoltaic (PV) integration with universal single-phase AC/DC microgrids. In addition, model predictive control (MPC) is applied for controlling the proposed topology at both AC and DC microgrid connections. The proposed topology represents a reduced component structure due to the use of a single power converter circuit. Moreover, the proposed MPC method achieves fast response with controlling multiple objectives using a single objective function. Simulation results are provided in this paper with various connection types, various current stepping, DC-link voltage changes, and reactive power support.

Authors

I am an author on this paper
Click your name to claim this paper and add it to your profile.

Reviews

Primary Rating

3.8
Not enough ratings

Secondary Ratings

Novelty
-
Significance
-
Scientific rigor
-
Rate this paper

Recommended

No Data Available
No Data Available