High-Performance Pure Sine Wave Inverter with Robust Intelligent Sliding Mode Maximum Power Point Tracking for Photovoltaic Applications.

En-Chih Chang

doi:10.3390/mi11060585

Abstract

Photovoltaic (PV) power generation has been extensively used as a result of the limited petrochemical resources and the rise of environmental awareness. Nevertheless, PV arrays have a widespread range of voltage changes in a variety of solar radiation, load, and temperature circumstances, so a maximum power point tracking (MPPT) method must be applied to get maximum power from PV systems. Sliding mode control (SMC) is effectively used in PV power generation due to its robustness, design simplicity, and superior interference suppression. When the PV array is subject to large parameter changes/highly uncertain conditions, the SMC leads to degraded steady-state performance, poor transient tracking speed, and unwanted flutter. Therefore, this paper proposes a robust intelligent sliding mode MPPT-based high-performance pure sine wave inverter for PV applications. The robust SMC is designed through fast sliding regime, which provides fixed time convergence and a non-singularity that allows better response in steady-state and transience. To avoid the flutter caused by system unmodeled dynamics, an enhanced cuckoo optimization algorithm (ECOA) with automatically adjustable step factor and detection probability is used to search control parameters of the robust sliding mode, thus finding global optimal solutions. The coalescence of both robust SMC and ECOA can control the converter to obtain MPPT with faster convergence rate and without untimely trapping at local optimal solutions. Then the pure sine wave inverter with robust intelligent sliding mode MPPT of the PV system delivers a high-quality and stable sinusoidal wave voltage to the load. The efficacy of the proposed method is validated on a MPPT pure sine wave inverter system by using numerical simulations and experiments. The results show that the output of the proposed PV system can improve steady-state performance and transient tracking speed.

Highlights

The petrochemical energy indispensable to produce electricity has increasingly depleted
That is during its sliding motion, the system trajectory is robust to uncertain intrusions; A great deal of Sliding mode control (SMC) publishing literature has been applied to the control of PV systems [13,14,15,16]
This paper proposes a robust intelligent SMC with a simple architecture and a clear design methodology for maximum power point tracking (MPPT)-based high-performance pure sine wave inverters

Summary

Introduction

The petrochemical energy indispensable to produce electricity has increasingly depleted. The changes in the maximum power output of PV panels are virtually related to solar illumination and ambient temperature Most of these MPPT algorithms lack a strict stability and convergence analysis, and only provide close to the maximum power point. The traditional COA cannot well adjust the control parameters during the feedback control search process, which gives rise to the high-frequency nonlinear factors excited by the flutter of robust SMC. This results in greater changes in system parameters and affects control performance. The proposed PV maximum power tracking system is compared with linear sliding regime-based sliding mode controlled PV maximum power tracking system, exposing that the proposed system possesses superior performance

Dynamic Modeling of MPPT-Based Pure Sine Wave Inverter

Proposed Controller

Results and Analysis