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Intelligence Based Controlling Models for Effective Power Tracking and Voltage Enhancement in Grid-PV Systems Naidu, I. E. S.; Padmavathi, T.; Padmavathi, S. Venkata; Kumar, Budidi U.
Emerging Science Journal Vol 9, No 1 (2025): February
Publisher : Ital Publication

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.28991/ESJ-2025-09-01-015

Abstract

The underlying research work is focused on enhancement in the efficiency and voltage gain for solar PV systems with the help of designing a novel regulating framework that includes advanced converter topologies integrated with intelligent control techniques. Optimization in extracting energy from the solar panel at different climatic conditions, voltage gain with minimum losses, and enhancing overall system efficiency and power quality are major tasks to be undertaken. The proposed control architecture presents a new Fractional Order Proportional-Integral-Derivative Control (FOPTC) technique and its adaptation mechanism for correct MPPT under dynamic variations of meteorological conditions. Consequently, it offers improved energy harvesting because it is able to identify the global maximum power point with higher speed and precision than traditional control techniques that apply hybrid approaches. The improved topological structure will ensure a substantial rise in voltage gain and efficiency with reduced voltage and current stresses upon the circuit components. In addition, the idea of a Neuro Feed Quadratic Controller (NFQC) is introduced to generate the regulating pulses for switching components of the converter for optimizing the voltage conversion process. Simulation and analytical studies confirm the higher efficiency, improved voltage gain, and reduced total harmonic distortion in the proposed framework over conventional systems. Doi: 10.28991/ESJ-2025-09-01-015 Full Text: PDF
Performance evaluation of cascaded H-bridge multilevel inverter with hybrid controller based PV system Dinakaran, C.; Padmavathi, T.
International Journal of Power Electronics and Drive Systems (IJPEDS) Vol 17, No 1: March 2026
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijpeds.v17.i1.pp37-48

Abstract

Rising concerns about global warming demand renewable growth, which in turn needs efficient converter topologies to integrate renewable power. This article presents a single-phase, nine-level inverter to improve the performance of non-conventional power systems. Here, the foremost aim, based on the advanced techniques, to diminish the representation of switches with sources has been executed. This influences the appended preservation of generating energy against non-conventional power resources. This conquest during the statistic of switch refuses every switching loss, counting the cardinal-like driving circuit that details a minimization within convolution based on supervision track, consequently depreciating the disturbances with scope. The proposed inverter has a diminished production voltage total harmonic distortion (THD) with an ideal power factor. The cascaded H-bridge multilevel inverter (CHBMLI) topology is intended for the proposed method in support of the design, added ant-lion optimization (ALO) tuned fuzzy logic controller (FLC) methodical assessment for compensation. The presented arrangement is refined to diminish the energy losses, just as it is unified among reproducing systems that boost the smooth output voltage with reduced %THD. In addition, contraction in energy losses and amplification in efficiency are accomplished by producing transitional levels for the level elaboration system. Indeed, every completion related to the suggested arrangement is evaluated over the reproduction of MATLAB/Simulink and PROTEUS applications.