•  
  •  
 

Turkish Journal of Electrical Engineering and Computer Sciences

Author ORCID Identifier

RAVI KUMAR MAJJI: 0000-0002-4263-3629

TIRUMALASETTY CHIRANJEEVI: 0000-0001-8303-8343

CHILUKOTI VARAHA NARASIMHA RAJA: 0000-0002-7260-9769

NAGULAPATI KIRAN: 0000-0001-9239-2571

Abstract

This paper discusses and presents a model predictive control (MPC)-based predictive current control technique for a solar photovoltaic (PV)-integrated grid system during dynamic operation. This control technique employs extension pq (EPQ) theory to estimate reference currents and utilizes an MPC framework for tracking reference currents. Various MATLAB/Simulink simulations were conducted for solar PV generation (source disturbances) and dynamic loading. The results of the OPAL-RT OP4510 real-time simulation are also presented. A multifunctional grid-integrated converter (MFGC) integrates solar active power into the utility grid while achieving unity power factor, reactive power compensation, current balancing, and harmonic suppression. EPQ optimizes mathematical calculations, whereas MPC produces optimal gate drive signals for system converters. The EPQ-based MPCC technique offers adaptable control capabilities for dynamic operational conditions. Analytical observations present that traditional hysteresis current control results in increased switching ripples, harmonics, and losses. This result is attributed to the higher frequency of converter switch actions, which reduces converter efficiency compared to the MPC. Furthermore, the total harmonic distortion of the source current has improved (< 5%), therefore adhering to the IEEE 1547-2022 standard.

DOI

10.55730/1300-0632.4187

Keywords

Active power, extension p-q, grid-integration, harmonic distortions, multifunctional features, predictive current

First Page

489

Last Page

506

Publisher

The Scientific and Technological Research Council of Türkiye (TÜBİTAK)

Creative Commons License

Creative Commons Attribution 4.0 International License
This work is licensed under a Creative Commons Attribution 4.0 International License.

Share

COinS