A comparison study on the performance of different MPPT control strategies in DC microgrids with photovoltaic systems

Dongze Li, Qian Hu

Research output: Chapter in book/report/conference proceedingConference proceedingpeer-review

4 Citations (Scopus)

Abstract

The output power of photovoltaic (PV) power generation systems in the microgrid is susceptible to changes in temperature and solar irradiance during real operations. To achieve the maximum power output of the PV array, maximum power point tracking (MPPT) has been widely performed. To verify the reliability and stability of different MPPT algorithms in DC microgrids with PV systems, this paper compares three MPPT algorithms (perturb and observe algorithm, fuzzy logical control, and cuckoo search algorithm) through simulation studies. The simulation results demonstrate that the fuzzy logical control algorithm (FLC) tracks the maximum power point with faster convergence, while the cuckoo search algorithm (CS) has smaller power ripples in the steady state.

Original languageEnglish
Title of host publication2023 IEEE PES Innovative Smart Grid Technologies - Asia, ISGT Asia 2023
PublisherIEEE
Number of pages6
ISBN (Electronic)9798350327748
ISBN (Print)9798350327755
DOIs
Publication statusPublished - 21 Nov 2023
Event2023 IEEE PES Innovative Smart Grid Technologies - Asia, ISGT Asia 2023 - Auckland, New Zealand
Duration: 21 Nov 202324 Nov 2023
https://ieeexplore.ieee.org/xpl/conhome/10372539/proceeding (Conference proceedings)

Publication series

NameIEEE PES Innovative Smart Grid Technologies - Asia, ISGT Asia
PublisherIEEE
ISSN (Print)2378-8534
ISSN (Electronic)2378-8542

Conference

Conference2023 IEEE PES Innovative Smart Grid Technologies - Asia, ISGT Asia 2023
Country/TerritoryNew Zealand
CityAuckland
Period21/11/2324/11/23
Internet address

User-Defined Keywords

  • cuckoo search algorithm
  • DC Microgrid
  • fuzzy logical control
  • MPPT
  • perturb and observe algorithm
  • photovoltaic power generation

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