Abstract

A main focus in microgrids is the power quality issue. The used renewable sources fluctuate and this fluctuation has to be suppressed by designing a control variable to nullify the circulating current caused by voltage fluctuations and deviations. The switching losses across power electronic switches, harmonics, and circulating current are the issues that we discuss in this article. The proposed intelligent controller is an interface between a voltage-sourced converter and a utility grid that affords default switching patterns with less switching loss, less current harmonic content, and overcurrent protection, and is capable of handling the nonlinearities and uncertainties in the grid system. The interfaced controller needs to be synchronized to a utility grid to ensure that the grid–lattice network can be fine-tuned in order to inject/absorb the prominent complex reactive energy to/from the utility grid so as to maintain the variable power factor at unity, which, in turn, will improve the system’s overall efficiency for all connected nonlinear loads. The intelligent controller for stabilizing a smart grid is developed by implementing a fuzzy-built advance control configuration to achieve a faster dynamic response and a more suitable direct current link performance. The innovation in this study is the design of fuzzy-based space vector pulse width modulation controller that exploits the hysteresis current control and current compensation in a grid-connected voltage source converter. By using the proposed scheme, a current compensation strategy is proposed along with an advanced modulation controller to utilize the DC link voltage of a voltage source converter. To demonstrate the effectiveness of the proposed control scheme, offline digital time-domain simulations were carried out in MATLAB/Simulink, and the simulated results were verified using the experimental setup to prove the effectiveness, authenticity, and accuracy of the proposed method.

Highlights

  • In the present scenario, due to the depletion of conventional sources, the use of renewable energy resources plays a vital role in distributed generation

  • The simulation test results are presented to show the effectiveness of the proposed fuzzy-logic-based space vector PWM (SVPWM) controller

  • The simulation test results are presented to show the effectiveness of the fuzzy-logic-based SVPWM controller

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Summary

Introduction

Due to the depletion of conventional sources, the use of renewable energy resources plays a vital role in distributed generation. The controlling time is increased, and this issue can be resolved by adding a compensation technique by computation delay This generates reference currents for the designed ASPF. Along with a broad spectrum, PI controllers are used to outline the current control plan in VSCs based on SVPWM These controllers are difficult to implement when the system has parametric uncertainties, nonlinearities, and load variations [13,14,15,16,17]. A Z-source voltage hotspot converter is presented that exploits Tom’s perusing fuzzy-built current SVPWM PI controller in a grid-connected VSC [19,20,21,22]. 3 of PI is presented that exploits Tom's perusing fuzzy-built current SVPWM controller in a grid-connected VSC 1922.

Z-Source
Schematic diagramofofaa voltage voltage source
SVPWM Converter
The Calculation of the Duty Cycle in SVPWM
SVPWM Fuzzy Controller
Fuzzy Controller for Current Error Compensation
Simulation Results
THD Analysis
Experimental Results
Conclusions
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