Utilizing a Fuzzy-Based Maximum Power Point Tracking (MPPT) Algorithm and a Normalized Laplacian Kernel Adaptive Kalman Filter to Enhance Power Quality on a Weak Grid with PV Support
DOI:
https://doi.org/10.62643/Keywords:
earning-based incremental conductance (LICAbstract
This study presents a new method for controlling low voltage weak grid-integrated solar photovoltaic
(PV) systems using a learning-based incremental conductance (LIC) Maximum Power Point Tracking
(MPPT) algorithm and a Normalized Laplacian Kernel Adaptive Kalman Filter (NLKAKF). The inputs
are connected at the Point of Common Coupling (PCC) in this two-stage design three-phase grid-
integrated solar PV system. A state-of-the-art dc voltage control loop using fuzzy logic and current and
voltage control loops based on NLKAKF are created to reduce load and grid side disturbances. The
suggested LIC is an improved iteration of the Incremental Conductance (InC) approach that fixes the
inherent problems with the original InC method, such as slow dynamic responses, steady state instability,
and set step size. The proposed NLKAKF management primarily aims to meet the active power
requirements of the loads using generated solar PV electricity, with any excess power being sent back to
the grid after the loads have been provided. However, NLKAKF management uses extra grid power to
make up the difference when generated PV electricity is insufficient to meet the demand. During this
technique, the electrical grade of the grid is upgraded. In order to improve power quality, the controller
may regulate reactive power, rectify power factor, filter out noise, and more. In addition, when the solar
energy is negative, the Voltage Source Converter (VSC) acts as a Distribution Static Compensator, raising
the system's consumption rate. Various grid disturbances, including over-voltage, under-voltage, phase
imbalance, harmonic distortion in the grid voltage, and unbalanced loads are used to experimentally
assess the performance of the proposed solutions on a constructed prototype.
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