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DC Microgrid Control with Event-Triggered Photovoltaic Power Scanning for Improved Energy Storage Utilization Under Partial Shading

  • Hein Wai Yan*
  • , Gaowen Liang
  • , Ezequiel Rodriguez
  • , Glen G. Farivar
  • , Josep Pou
  • *Corresponding author for this work

Research output: Chapters, Conference Papers, Creative and Literary WorksRGC 32 - Refereed conference paper (with host publication)peer-review

Abstract

This paper proposes a photovoltaic (PV) power scanning aided hybrid control for dc microgrids (dcMGs) with PV and battery energy storage systems (BESSs). In contrast to existing dcMG controls, the proposed control reduces the BESS utilization for dc-link voltage regulation, even under partial shading conditions. To achieve this, a power-voltage (P-V) curve scanning mechanism is integrated within a flexible power point tracking algorithm, bypassing local maximum power points and matching the PV power to the demand. Compared to conventional periodic and full P-V curve scanning approaches, the proposed scanning is event-triggered and its range is adaptive by terminating the scan when a PV power that satisfies the demand is identified. The proposed control effectiveness is verified through simulations in MATLAB/Simulink. © 2025 IEEE
Original languageEnglish
Title of host publication2025 IEEE Energy Conversion Conference Congress and Exposition (ECCE)
PublisherIEEE
Number of pages6
ISBN (Electronic)979-8-3315-4130-9, 979-8-3315-4129-3
ISBN (Print)979-8-3315-4131-6
DOIs
Publication statusPublished - 2025
Event17th IEEE Energy Conversion Congress and Expo (ECCE 2025): Connecting Minds, Powering Innovations - Pennsylvania Convention Center, Philadelphia, United States
Duration: 19 Oct 202523 Oct 2025
https://www.ieee-ecce.org/2025/

Publication series

Name
ISSN (Print)2329-3721
ISSN (Electronic)2329-3748

Conference

Conference17th IEEE Energy Conversion Congress and Expo (ECCE 2025)
Abbreviated titleIEEE ECCE 2025
PlaceUnited States
CityPhiladelphia
Period19/10/2523/10/25
Internet address

Funding

This work was supported in part by A*STAR under its MTC-Young Investigator Research Grant (M24N8c0096), and in part by startup funding of City University of Hong Kong (CityUHK).

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

  1. SDG 7 - Affordable and Clean Energy
    SDG 7 Affordable and Clean Energy

Research Keywords

  • Battery energy storage system (BESS)
  • flexible power point tracking (FPPT)
  • microgrids
  • partial shading condition (PSC)
  • photovoltaic (PV) system

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