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LADRC-based grid-connected control strategy for single-phase LCL-type inverters.
Feng, Zhi; Zhou, Xiaojie; Wang, Chan; Huang, Weizhou; Chen, Ziqi.
Afiliação
  • Feng Z; Department of Electrical and Electronic Engineering, Anhui Science and Technology University, Bengbu, China.
  • Zhou X; Department of Electrical and Electronic Engineering, Anhui Science and Technology University, Bengbu, China.
  • Wang C; Department of Electrical and Electronic Engineering, Anhui Science and Technology University, Bengbu, China.
  • Huang W; Department of Electrical and Electronic Engineering, Anhui Science and Technology University, Bengbu, China.
  • Chen Z; Department of Electrical and Electronic Engineering, Anhui Science and Technology University, Bengbu, China.
PLoS One ; 19(5): e0303591, 2024.
Article em En | MEDLINE | ID: mdl-38748696
ABSTRACT
To ensure that grid-connected currents are of high quality, it is crucial to optimize the dynamic performance of grid-connected inverters and their control. This study suggests using a combination of reduced-order linear active disturbance rejection control (LADRC) and a Proportional-Integral (PI) controller. By applying this control strategy to a single-phase photovoltaic grid-connected system, the system's ability to suppress grid harmonics is significantly improved. The validity and effectiveness of this control approach have been confirmed through simulations and experiments. The results show that the LADRC-based control system is robust and capable of rejecting disturbances, resulting in a significant reduction in the Total Harmonic Distortion (THD) of grid-connected currents. Comparative analysis with traditional control methods demonstrates the superior performance of the proposed approach.
Assuntos

Texto completo: 1 Bases de dados: MEDLINE Assunto principal: Algoritmos Idioma: En Revista: PLoS One Assunto da revista: CIENCIA / MEDICINA Ano de publicação: 2024 Tipo de documento: Article País de afiliação: China

Texto completo: 1 Bases de dados: MEDLINE Assunto principal: Algoritmos Idioma: En Revista: PLoS One Assunto da revista: CIENCIA / MEDICINA Ano de publicação: 2024 Tipo de documento: Article País de afiliação: China