Modeling and Control of a Single-Phase Grid-Connected Inverter with LCL Filter

Autor: Helmo Kelis Morales Paredes, Augusto Matheus dos Santos Alonso, Jose de Arimateia Olimpio Filho, Jakson Paulo Bonaldo, Fernando Pinhabel Marafão
Přispěvatelé: Universidade Estadual Paulista (Unesp), Norwegian University of Science and Technology (NTNU), Federal University of Mato Grosso (UFMT)
Rok vydání: 2021
Předmět:
Zdroj: Scopus
Repositório Institucional da UNESP
Universidade Estadual Paulista (UNESP)
instacron:UNESP
ISSN: 1548-0992
Popis: Made available in DSpace on 2021-06-25T10:31:57Z (GMT). No. of bitstreams: 0 Previous issue date: 2021-02-01 The increasing penetration of renewable energy sources is pushing low-voltage electrical grids to become predominantly power electronic-based. Consequently, the design and operation of the related grid-connected converters must be achieved under proper manner, in order to maintain stability and support reliable operation of the entire power system. Thus, this work presents the modeling and control of a single-phase grid-connected multifunctional converter, which operates as a current-controlled voltage source inverter using an LCL-type output filter. An active damping approach is employed for attenuation of oscillations occurring from interactions between the grid and the inductances and capacitance of the LCL filter. Additionally, the voltage and current control loops of the inverter are addressed in this paper, along with the design of their respective controllers, considering that the grid impedance is unknown. Experimental results demonstrate stable operation of the inverter and show its satisfactory behavior under steady state conditions, proving its capability to offer ancillary services such as active filtering. Sao Paulo State University (Unesp) Institute of Science and Technology Department of Electric Power Engineering Norwegian University of Science and Technology (NTNU) Department of Electrical Engineering Federal University of Mato Grosso (UFMT) Sao Paulo State University (Unesp) Institute of Science and Technology
Databáze: OpenAIRE