A robust nonlinear control strategy of a PV System connected to the three-phase grid based on backstepping and PSO technique

Abstract

This article presents a robust non-linear control technique of the three-phase photovoltaic system. The structure chosen for this PV system is that of two power converters and DC voltage intermediate bus. The two power converters are: the DC-DC converter and the three-phase inverter, which requires two main controllers. These controllers have three main objectives. The first objective is to impose the PV voltage generated by the photovoltaic panel, in order to follow a maximum reference voltage provided by the MPPT block. The second one is to maintain the DC link voltage to a constant value, in order to optimize the transfer of energy between the two power converters. The last objective is to inject a three-phase sinusoidal current into the grid, while respecting a unit power factor. With the intention to achieve these three objectives, we designed cascading nonlinear controllers by using the technique of non-linear backstepping control in the synthesis of these two controllers, based on the Lyapunov function, with regard to maximise the PVG output voltage, in order to have a unitary power factor at the grid side. In order to regulate DC-link voltage, we developed an integral proportional controller (PI) with parameters that are optimized by the Particle Swarm Optimization (PSO) method. The robustness of the controller designed approach is tested by a simulation in MATLAB/Simulink software, that improves the performances of each controller whatever conditions of climate.

Modified PDPWM control with MPPT algorithm for equal power sharing in cascaded multilevel inverter for standalone PV system under partial shading

“…Particle swarm optimization PSO, was developed in 1995 by Eberhart and Kennedy [21]. PSO has already been widely used in the field of engineering, power system optimization, and more.…”

Modernisation of DC-DC converter topologies for solar energy harvesting applications: A review

“…Mohanty et al devised the grey wolf optimization in order to gather the greatest amount of electricity from the PV systems while they were partially shaded. The findings of the simulation are analyzed and contrasted with those of the P&O and enhanced particle swarm optimization (PSO) methods [3], [6], [14], [26], [34], [70], [212], [214], [253], [254]. The results of the tests demonstrated that the grey wolf optimization works better than traditional algorithms in terms of tracking speed, ripple content, and extraction efficiency [255].…”

Comparative analysis of evolutionary-based maximum power point tracking for partial shaded photovoltaic

“…where I(r) is the light intensity of each fire fly at r as distance and Is is intensity of the source. At any distances with steady light absorption, the I(r) changes according to the r distance by (7):…”

“…Tracking carried out specifically for partial shading cases requires more advanced methods or algorithms. For the algorithm, Zouga et al [7] has designed a particle swarm optimization (PSO) implementation for grid-tied solar PV  ISSN: 2088-8708 Int J Elec & Comp Eng, Vol. 12, No.…”