Abstract
The energy consumption in Data Centers is increasing faster in the last few years, due to the IoT and big data world market impact. This research applies the finite control set model predictive control (FCS-MPC) to a single-switch quadratic buck converter (QBC) for future data centers. The FCS-MPC can solve the stability problem of QBC without any need for linearization. Designing a stable controller is a challenge, especially in the case when a constant power load is fed. Two control objectives of the proposed controller are voltage and current regulation. Both objectives are satisfied by the proposed method. Fast dynamic response and performance in a wide range of operating points are achieved by this method. The proposed method is verified by PSIM simulations.
Original language | English |
---|---|
Title of host publication | CPE-POWERENG 2023 - 17th IEEE International Conference on Compatibility, Power Electronics and Power Engineering |
Publisher | Institute of Electrical and Electronics Engineers Inc. |
ISBN (Electronic) | 9798350300048 |
ISBN (Print) | 9798350300048 |
DOIs | |
State | Published - 2023 |
Event | 17th IEEE International Conference on Compatibility, Power Electronics and Power Engineering, CPE-POWERENG 2023 - Tallinn, Estonia Duration: 2023 → 2023 |
Publication series
Name | CPE-POWERENG 2023 - 17th IEEE International Conference on Compatibility, Power Electronics and Power Engineering |
---|
Conference
Conference | 17th IEEE International Conference on Compatibility, Power Electronics and Power Engineering, CPE-POWERENG 2023 |
---|---|
Country/Territory | Estonia |
City | Tallinn |
Period | 14/06/23 → 16/06/23 |
Bibliographical note
Funding Information:ACKNOWLEDGMENT This work was supported by the Chilean Government under Project CONICYT/FONDECYT Iniciación 11220863, FONDECYT Regular 1210208, FB0008 and by SERC Chile (CONICYT/FONDAP/15110019)
Publisher Copyright:
© 2023 IEEE.
ASJC Scopus subject areas
- Energy Engineering and Power Technology
- Electrical and Electronic Engineering
- Safety, Risk, Reliability and Quality