Nonlinear backstepping control of a partially shaded photovoltaic storage system

Abstract

Many power converter architectures and control approaches, both traditional and unconventional, have been developed, investigated, and adjusted to handle the challenge of tracking the maximum power points of a partially shaded photovoltaic (PV) system, which fluctuates with meteorological conditions (radiation and temperature). A DC-DC converter was used as the power conditioning unit to determine the system’s maximum efficiency. In this research, we focus on developing a nonlinear controller for a DC-DC converter to track the overall maximum power point in a PV storage system under partial shading situations. This study presents a combination of two MPP search algorithms with a backstepping controller. The particle swarm optimization (PSO) and variable step Perturb and Observe (P&O)with global scan (VSP&O/GS) algorithms supply the PV output reference voltage to the backstepping controller in order to recover the maximum power from photovoltaic (PV) systems. The simulation results of the methods compared to the proposed maximum power point (MPPT) algorithm are simulated and examined in the MATLAB/Simulink environment under non-uniform irradiation conditions. To demonstrate the performance and limits of each approach in tracking the maximum power point.

Non-linear control for enhanced solar power under partial shading and AC load variations

“…However, bypass diodes also introduce non-linear characteristics with multiple peak points in the characteristic curves. The number of these peak points is primarily associated with the quantity of PV modules connected in series within the PV array [34].…”

“…To ensure the continuous and efficient operation of the photovoltaic (PV) module at its maximum power point (MPP), a critical component comes into play-a DC/DC converter, as visually represented in Figure 6. This converter plays a pivotal role by facilitating the adjustment of the PV-generated voltage, denoted as V pv , to align with its designated reference value [34]. The dynamic functionality of this converter becomes particularly crucial in varying environmental conditions, allowing the PV system to adapt seamlessly and consistently harvest the maximum available power from the solar irradiance.…”

Grey wolf optimization and incremental conductance based hybrid MPPT technique for solar powered induction motor driven water pump

“…Priyadarshi et al (2020) have presented a SPWP that is SRMdriven and have applied hybrid GSA-PSO MPPT in their research. Khadija et al, (2023) present a solar-powered PV pumping system using a DC-DC boost converter to drive a centrifugal water pump with a BLDC motor, while employing PSO and GWO MPPT methods in partial shading conditions. Priyadarshi et al, (2022) introduce a hybrid GWO-FLC MPPT technique for an SRM-driven PV water pump.…”

Tracking the GMPP of a solar photovoltaic water pumping system with an SMC controller in partial shading conditions

“…There was a considerable loss of electricity. Due to the difficulty in detecting the precise MPP when the P-V characteristics include several peaks [9], [10], the system has become less efficient under changing irradiation conditions [11].…”

“…PV module efficiency varies with the quantity of light received as presented in Figure 4(a). As a result, it is critical to investigate the qualities of a PV module under various irradiation scenarios, such as uniform irradiation and partial shading conditions (PSC), where multiple local and global MPPs may be seen on the P-V characteristics curve [6], [10] as seen in Figure 4(b). The use of bypass diodes linked in parallel to each PV module during PSCs reduces the possibility of a hot spot, in which the shaded module works as a load rather than generating power [16].…”