Four-Port SST-Based Multi-Objective Control for Hybrid PV-Battery Powered Data Centers

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Abstract

This paper presents a multi-objective control strategy for a four-port solid-state transformer (SST) interfacing photovoltaic (PV) system, battery energy storage (BESS), utility grid, and a 48V data center load. The proposed control approach simultaneously optimizes multiple objectives, including power allocation and load voltage regulation. The main objectives of the proposed approach are to supply a constant 48V to the data center while maximizing renewable energy utilization, and balancing the demand and supply by dynamically injecting the extra available power into the grid or the battery and consuming it from the grid or the battery if there is no sufficient renewable energy availability. The proposed approach is experimentally implemented and its effectiveness is validated through a set of different case studies.

Original languageEnglish
Title of host publicationIECON 2025 - 51st Annual Conference of the IEEE Industrial Electronics Society
PublisherIEEE Computer Society
ISBN (Electronic)9798331596811
DOIs
Publication statusPublished - 2025
Event51st Annual Conference of the IEEE Industrial Electronics Society, IECON 2025 - Madrid, Spain
Duration: 14 Oct 202517 Oct 2025

Publication series

NameIECON Proceedings (Industrial Electronics Conference)
ISSN (Print)2162-4704
ISSN (Electronic)2577-1647

Conference

Conference51st Annual Conference of the IEEE Industrial Electronics Society, IECON 2025
Country/TerritorySpain
CityMadrid
Period14/10/2517/10/25

Keywords

  • Multi-port transformer
  • data centers
  • inverse model predictive control
  • solid-state transformer
  • voltage regulation

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