Discrete Model-Predictive-Control-Based Maximum Power Point Tracking for PV Systems: Overview and Evaluation

Abstract

The main objective of this work is to provide an overview and evaluation of discrete model predictive controlbased maximum power point tracking (MPPT) for PV systems. A large number of MPC based MPPT methods have been recently introduced in the literature with very promising performance, however, an in-depth investigation and comparison of these methods have not been carried out yet. Therefore, this paper has set out to provide an in-depth analysis and evaluation of MPC based MPPT methods applied to various common power converter topologies. The performance of MPC based MPPT is directly linked with the converter topology, and it is also affected by the accurate determination of the converter parameters, sensitivity to converter parameter variations is also investigated. The static and dynamic performance of the trackers are assessed according to the EN 50530 standard, using detailed simulation models and validated by experimental tests. The analysis in this work aims to present a useful insight for practicing engineers and academic researchers when selecting the MPP tracker for their application.

A Dual-Discrete Model Predictive Control-Based MPPT for PV Systems

“…Since the performance of FCS-MPC with respect to P&O has been already deeply investigated in [32], and it has been shown that these two methods have equivalent performance, the proposed MPPT is compared to P&O only. Furthermore, P&O is the benchmark algorithm for MPPTs since it is the most classical and adopted in industrial applications.…”

“…In DO-MPC-MPPT, a digital observer is adopted for the prediction of a PV currents conformable to an assumed PV voltages, where the PV voltages are shifted by a predicted step size. In [32], the efficiency of Discrete-MPCbased MPPT has been deeply studied, considering different weather conditions as well as various power converter topologies, and, as it has been reported, when using FCS-MPC-based MPPT; the resulted MPP tracker will have the same shortcomings as the used reference (in that paper P&O is considered). Regarding DO-MPC-MPPT, a better performance during a changing environmental conditions compared to FCS-MPC-MPPT can be obtained, but tracking the MPP under fast environmental condition changes is still a challenge for DO-MPC as well.…”

Large Photovoltaic Power Plants Integration: A Review of Challenges and Solutions

“…The maximum power generated by the PV system essentially depends on the variations in temperature and solar radiation [52,53]. Thus, MPPT is required.…”

Model Predictive-Based Direct Battery Control in PV Fed Quasi Z-Source Inverters

“…where, λ iαβ , λ L1 , and λ b are the weighting factors of the terms of the output current, the inductor L 1 current and the battery current, respectively. To date, there is no exact method for defining the weighting factors of the cost function [15]. PV fed qZSI with battery suffered from the fact that it can not retrieve from the battery a current higher than the PV current, which implies that the converter can not provide the active desired power when the PV power is less than P ref ×50%.…”