Improving Power Quality and Managing Power in a PV-HESS Based Grid-Tied Microgrid with a Model Predictive Control Method

For the stable operation under imbalanced loading conditions and harmonic mitigation due to nonlinear loads, a control strategy based on the Modified Leaky Least Mean Square algorithm was effectively implemented in the carried-out analysis of the investigated system. A power-sharing framework is also put in place to ensure that active power is distributed effectively. The suggested controller has strong and consistent performance over a range of challenging operating situations, in MATLAB/Simulink simulations. The total harmonic distortion (THD) in the source current was drastically reduced by the MLLMS-based algorithm, leading to an improvement in power quality. In addition, the converter is efficiently controlled by the Finite Control Set Model Predictive Control, which accurately tracks the reference values and generates optimal switching states. The suggested control architecture guarantees high-quality power at the source, maintains stable DC-bus voltages, and offers balanced active power sharing capabilities. These findings suggest that grid-connected microgrids with hybrid energy storage systems benefit from the system's ability to enhance power management and quality.

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