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基于图论的光伏系统多功率模块优化控制策略

Translated title of the contribution: Optimal strategy for multi-power module control of photovoltaic system based on graph theory
  • Yanmin Wang*
  • , Jiaming Ning
  • , Weiqi Zhang
  • , Xiaoyong Wang
  • *Corresponding author for this work
  • School of Electrical Engineering and Automation, Harbin Institute of Technology
  • China State Construction Engineering Corporation

Research output: Contribution to journalArticlepeer-review

Abstract

In order to solve the problems of uneven power distribution and easy influence of DC bus voltage in multi-power modules of photovoltaic system, a optimal strategy for multi-power module control of photovoltaic system based on graph theory was designed which improves the limitations of traditional droop control on the regulation of multi-branch photovoltaic systems. Firstly, based on the theory of tracking synchronization and coordination synchronization in graph theory, a consensus algorithm was constructed, and a secondary optimization controller for photovoltaic system was designed. Then, the Lyapunov function was used to prove the finite time convergence stability of the designed controller. Finally, three power modules with the same capacity are taken as an example to run in parallel, and the simulation analysis and experimental verification were carried out. Experimental results showed that the proposed optimal control strategy can quickly restore the DC bus-side voltage of the photovoltaic system to within the error range of ±5% of the rated value when the load changes(3 times faster than conventional sag control), and has smaller spikes, and compared with the traditional droop control strategy, the output current deviation of each power module is greatly reduced (less than 2%), and the balanced distribution of each power module of the system is effectively realized.

Translated title of the contributionOptimal strategy for multi-power module control of photovoltaic system based on graph theory
Original languageChinese (Traditional)
Pages (from-to)14-20
Number of pages7
JournalHuazhong Keji Daxue Xuebao (Ziran Kexue Ban)/Journal of Huazhong University of Science and Technology (Natural Science Edition)
Volume54
Issue number1
DOIs
StatePublished - Jan 2026
Externally publishedYes

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

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