Low-Complexity Power Balancing Point-Based Optimization for Photovoltaic Differential Power Processing

Guanying Chu*, Huiqing Wen, Yihua Hu, Lin Jiang, Yong Yang, Yiwang Wang

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

33 Citations (Scopus)


Differential power processing (DPP) is regarded as a promising architecture in solving mismatching issues among photovoltaic (PV) submodules. Although conventional total-minimum-power-point (TMPP)-based real-time optimization algorithm by using the distributed submodule-level maximum power point tracking and simultaneously the centralized total-minimum-power tracking shows effectiveness in maximizing the power yield. However, uneven power stress among DPP converters, large oscillations, high additional cost for communication among DPP converters, and complicated implementation hinder the practical application. This article proposed a low-complexity power balancing point-based optimization algorithm to reduce the system cost and size, improve the system efficiency, and realize the standardized modular design for DPP converters. Furthermore, simple submodule-level voltage equalization control is implemented to eliminate expensive communication and relieve the control complexity while guaranteeing high maximum-power-point efficiency. The proposed algorithm can reduce the power rating of DPP converters compared with conventional TMPP-based control, which is beneficial to the improvement of system cost, reliability, and lifetime. Both simulation and experimental results under various scenarios are provided to validate the advantages of the proposed algorithm.

Original languageEnglish
Article number9019649
Pages (from-to)10306-10322
Number of pages17
JournalIEEE Transactions on Power Electronics
Issue number10
Publication statusPublished - Oct 2020


  • Differential power processing
  • mismatch
  • partial shading
  • photovoltaic systems
  • power rating
  • voltage equalization (VE)

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