Authors :
Eng. Faisal Alajmi; Eng. Hadyan Ali Alajmi
Volume/Issue :
Volume 8 - 2023, Issue 9 - September
Google Scholar :
https://bit.ly/3TmGbDi
Scribd :
https://tinyurl.com/3bumy796
DOI :
https://doi.org/10.5281/zenodo.8398466
Abstract :
This study delves into the integration of
photovoltaic (PV) systems with the utility grid, comparing
their performance with and without the implementation
of a Fuzzy Logic Controller (FLC). The integration is
facilitated through a meticulously designed DC-DC boost-
converter system and a three-level bridge inverter, aiming
to stabilize the boost voltage generated by the PV system.
A comparative analysis was conducted to assess the
system's performance under two distinct case: one
involving the conventional controller (MPPT) and the
other employing the fuzzy controller (FLC). The aim was
to underscore the enhanced attributes of the fuzzy
controller in effectively modulating the desired system
performance.
In the first case, the PV system is integrated directly
into the grid with the intervention of MPPT control
method. The behavior of the system is analyzed under
varying conditions, highlighting voltage oscillations and
potential instability issues. In the second scenario, the PV
system is integrated into the grid with the inclusion of an
FLC. The FLC's adaptive and intelligent control strategy
is employed to manage voltage fluctuations and maintain
stable grid synchronization. The controller's performance
is assessed across a spectrum of operational scenarios.
The comparison of system outcomes between the
FLC and MPPT controllers clearly established the
advantages of the FLC method in reducing output voltage
oscillation, minimizing settling time, and enhancing
stability. The FLC method not only matches the power
optimization capabilities of the traditional MPPT
technique but also provides superior control performance
under various scenarios. This underscores the potential of
fuzzy logic-based control strategies for efficient and
robust control of distributed energy resources in electric
grids. The findings of this study contribute to the
understanding of advanced control methodologies in the
context of PV integration, offering valuable guidance for
the development of robust and reliable renewable energy
systems.
This study delves into the integration of
photovoltaic (PV) systems with the utility grid, comparing
their performance with and without the implementation
of a Fuzzy Logic Controller (FLC). The integration is
facilitated through a meticulously designed DC-DC boost-
converter system and a three-level bridge inverter, aiming
to stabilize the boost voltage generated by the PV system.
A comparative analysis was conducted to assess the
system's performance under two distinct case: one
involving the conventional controller (MPPT) and the
other employing the fuzzy controller (FLC). The aim was
to underscore the enhanced attributes of the fuzzy
controller in effectively modulating the desired system
performance.
In the first case, the PV system is integrated directly
into the grid with the intervention of MPPT control
method. The behavior of the system is analyzed under
varying conditions, highlighting voltage oscillations and
potential instability issues. In the second scenario, the PV
system is integrated into the grid with the inclusion of an
FLC. The FLC's adaptive and intelligent control strategy
is employed to manage voltage fluctuations and maintain
stable grid synchronization. The controller's performance
is assessed across a spectrum of operational scenarios.
The comparison of system outcomes between the
FLC and MPPT controllers clearly established the
advantages of the FLC method in reducing output voltage
oscillation, minimizing settling time, and enhancing
stability. The FLC method not only matches the power
optimization capabilities of the traditional MPPT
technique but also provides superior control performance
under various scenarios. This underscores the potential of
fuzzy logic-based control strategies for efficient and
robust control of distributed energy resources in electric
grids. The findings of this study contribute to the
understanding of advanced control methodologies in the
context of PV integration, offering valuable guidance for
the development of robust and reliable renewable energy
systems.
