Parallel Operation of Standalone Inverters with Online Parameter Update
In this paper, a parameter estimation strategy of individual parallel connected inverter is presented based on a novel model reference adaptive system architecture has been proposed. Two fictitious quantities with no physical significance has been chosen and are given by X = u•φ∗ and Y = u∗ x φ where u is the steady state voltage difference from the inverter poles to the load and φ is the change in flux from the inverter poles to the load. Using these two models, a closed loop estimation architecture is developed to estimate the parameters of each of the parallel inverters. A droop control with an inner voltage and current controller based on Lyapunov energy function has been utilized in this paper. A parameter estimation architecture is proposed to online update the controller parameters which change during the operation. The proposed control come estimation architecture is verified via computer simulations based on MATLAB/Simulink and PLECS domain and various case study results are presented to prove the efficacy of the system.
V. Roy Chowdhury and J. W. Kimball, "Parallel Operation of Standalone Inverters with Online Parameter Update," Proceedings of the 2021 IEEE Applied Power Electronics Conference and Exposition (2021, Phoenix, AZ), pp. 2639 - 2645, Institute of Electrical and Electronics Engineers (IEEE), Jun 2021.
The definitive version is available at https://doi.org/10.1109/APEC42165.2021.9487033
2021 IEEE Applied Power Electronics Conference and Exposition, APEC 2021 (2021: Jun. 14-17, Phoenix, AZ)
Electrical and Computer Engineering
International Standard Book Number (ISBN)
Article - Conference proceedings
© 2021 Institute of Electrical and Electronics Engineers (IEEE), All rights reserved.
17 Jun 2021