A Novel Cooperative Control for SMES/Battery Hybrid Energy Storage in PV Grid-Connected System

  • Pengfei Wang
  • , Jing Lu*
  • , Yanan Wu
  • , Liuwei Xu
  • , Jun Li
  • , Huafeng Mao
  • , Yunxiang Tian
  • , Bin Xu
  • , Jianfeng Huang
  • *Corresponding author for this work

Research output: Contribution to journalArticleAcademicpeer-review

13 Citations (Scopus)

Abstract

With the ever-growing integration of renewable energy sources (RESs) into the power grid to meet escalating power demand, the intermittent and volatile nature of these sources poses significant challenges to the stability of power grid. To address the unstable output power resulting from the inherent randomness and fluctuation of RES, this paper introduces a novel cooperative control strategy designed for a photovoltaic-based grid-connected system. This proposed strategy leverages both battery energy storage system (BESS) and superconducting magnetic energy storage (SMES) within the hybrid energy storage system (HESS) framework. At top-level control (TLC), the control strategy employs a fuzzy control-based low-pass filter (LPF) to dynamically regulate filtration coefficient and realize transient power allocation optimization. Simultaneously, at the underlayer level control (ULC), a fast Model Predictive Control (MPC) method is implemented to maintain DC bus voltage by one-step prediction horizon. The feasibility and superiority of the proposed control strategy are systematically validated under diverse operating conditions, demonstrating its efficacy in enhancing the stability and performance of the grid-connected system.

Original languageEnglish
Article number5401605
JournalIEEE transactions on applied superconductivity
Volume34
Issue number8
Early online date28 Jun 2024
DOIs
Publication statusPublished - Nov 2024

Keywords

  • n/a OA procedure
  • Hybrid energy storage system (HESS)
  • Model predictive control (MPC)
  • Superconducting magnet energy storage (SMES)
  • Fuzzy low pass filter (FLPF)

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