MPPT-Based Model Predictive Control for Split Source PV Inverters

Naki Guler, Sertac Bayhan

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Abstract

The paper proposes a Maximum Power Point Tracking (MPPT) based Model Predictive Control (MPC) approach for photovoltaic (PV) fed grid-connected Split Source Inverters (SSI). The split source inverters offer both input voltage boosting and DC/AC conversion capabilities with a single power stage. Therefore, the DC side voltage and output current need to be controlled for the proper operation of the SSI. Furthermore, MPPT is essential for grid-connected PV inverters to extract maximum power from the solar. To achieve these objectives, the Perturb and Observe MPPT (PO-MPPT) algorithm generates the input current reference of the SSI. The proposed MPC approach is responsible for controlling the input and output currents of the SSI. The effectiveness of the proposed control approach is investigated by simulation studies performed on MATLAB/Simulink environment. The results reveal that the proposed approach successfully regulates the DC side voltage and output current with the MPPT capability. Moreover, the total harmonic distortion (THD) in the transferred grid current is under the recognized limits by the standards.

Original languageEnglish
Title of host publication2023 Middle East and North Africa Solar Conference, MENA-SC 2023 - Proceedings
PublisherInstitute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)9781665491464
DOIs
Publication statusPublished - 2023
Event1st Middle East and North Africa Solar Conference, MENA-SC 2023 - Dubai, United Arab Emirates
Duration: 15 Nov 202318 Nov 2023

Publication series

Name2023 Middle East and North Africa Solar Conference, MENA-SC 2023 - Proceedings

Conference

Conference1st Middle East and North Africa Solar Conference, MENA-SC 2023
Country/TerritoryUnited Arab Emirates
CityDubai
Period15/11/2318/11/23

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