Adaptive Power Management of Hierarchical Controlled Hybrid Shipboard Microgrids

Muhammad Umair Mutarraf, Yajuan Guan, Yacine Terriche, Chun Lien Su , Mashood Nasir, Juan C. Vasquez, Josep M. Guerrero

Research output: Contribution to journalJournal articleResearchpeer-review

16 Citations (Scopus)
35 Downloads (Pure)

Abstract

Shipboard microgrids (SMGs) are distinguished by the heavy propulsion system that can vary largely in a short time. Consequently, this variation shifts the optimum operating points of the diesel engines that leads to increase the overall emissions and operational costs. Moreover, power fluctuations caused by the dynamic loads such as propulsion motors along with the lack of cold-ironing facilities at both ends of seaports make it even worse. Therefore, the application of energy storage systems (ESSs) with proper coordination is becoming very popular for ships to improve the energy management, and thus decreases the fuel consumption. The aim of this paper is to firstly highlights different architectures of SMGs and the benefits the ESS can brings into them, then proposes an enhanced hierarchical control-based energy management scheme that is suitable for SMGs operations during an islanded and grid-connected operation. The proposed method based on the ESSs supports the diesel generators to enable them to operate in the optimum window recommended by the diesel engines company, which significantly decreases fuel consumption, operational costs, and emissions. Furthermore, to provide a linkage between SMG and the grid during port stays, conventional P-f and Q-V droop control strategy is adopted to import and export power to the seaport load or the grid for emergency purposes referred to in this study as Ship-to-X operation. The enhanced hierarchical control is capable of optimally shifting the modes for efficient and reliable operation and reducing specific fuel consumption. The performance of the proposed scheme is adopted and validated with satisfactory results of a practical hybrid SMG in a MATLAB/SIMULINK environment.
Original languageEnglish
JournalIEEE Access
Volume10
Pages (from-to)21397-21411
Number of pages15
ISSN2169-3536
DOIs
Publication statusPublished - 21 Feb 2022

Keywords

  • Droop control
  • Fuels
  • Generators
  • Marine vehicles
  • Microgrids
  • Power system stability
  • Power-sharing
  • Propulsion
  • Quasi-load-leveling
  • Seaports
  • Ship-to-X
  • Shipboard microgrids

Fingerprint

Dive into the research topics of 'Adaptive Power Management of Hierarchical Controlled Hybrid Shipboard Microgrids'. Together they form a unique fingerprint.

Cite this