Bibliographic Details
| Title: |
Predictive current control approach for grid-integrated multifunctional converter under source and load disturbances. |
| Authors: |
MAJJI, RAVI KUMAR1, CHIRANJEEVI, TIRUMALASETTY2 tirumalasetty.chiranjeevi@smvdu.ac.in, RAJA, CHILUKOTI VARAHA NARASIMHA1, KIRAN, NAGULAPATI1 |
| Source: |
Turkish Journal of Electrical Engineering & Computer Sciences. 2026, Vol. 34 Issue 3, p489-506. 19p. |
| Subject Terms: |
*Predictive control systems, *Electric current converters, *Reactive power control, *Real-time computing, *Harmonic suppression filters, *Harmonic distortion (Physics), *Photovoltaic power systems |
| 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. [ABSTRACT FROM AUTHOR] |
| Database: |
Energy & Power Source |