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Power quality improvement using PV fed series active power filter with enhanced Jaya optimized PI controller Mallajoshula, Ravikanth; Naidu, I. E. S.
International Journal of Power Electronics and Drive Systems (IJPEDS) Vol 15, No 4: December 2024
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijpeds.v15.i4.pp2199-2213

Abstract

In this paper, improvement of power quality (PQ) in a distribution system using a PV-series active power filter (PV-SAPF) investigated. The performance of the proposed filter is increased using an enhanced Jaya optimized proportional integral (PI) with indirect current controller (ICC) technique system. In existing Jaya optimization technique best and worst cases were obtained from the whole solutions which degrades the output of the PI controller results more iteration. In case of enhanced Jaya, the proposed one, population from best to worst is shorted first and divide them as two groups best and worst solutions. The best solution is chosen from the best solution group as “Best,” and the best solution from the worst solution group is chosen as “Worst”. This procedure decreases the number of iterations needed to reach the optimal solution. The effectiveness of the enhanced Jaya optimization and ICC developed controller is implemented in the proposed PV-SAPF. To proof its effectiveness different types of loads are taken as case study. MATLAB/Simulink platform is used to do the above research work.
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
Real-time implementation of a combined controller-observer approach for shunt active filters Kiran, Nagulapati; Naidu, I. E. S.
International Journal of Power Electronics and Drive Systems (IJPEDS) Vol 16, No 1: March 2025
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijpeds.v16.i1.pp251-266

Abstract

The crucial role of shunt active power filter (SAPF) is to compensate for reactive power, balances unbalanced currents and counteract harmonics produced due to non-linear loads, by injecting phase-opposed compensation current by designing an appropriate controller. In this work, a combined controller-observer state and disturbances estimation scheme for a SAPF is proposed. To avoid the requirement of full-state feedback, unknown input observers (UIO) is designed. This is conducted in OPAL-RT OP4510 environment. Real-time simulations are used to show how successful the suggested controller-observer architecture for SAPF is; wherein the estimated states from the observer are fed back to the controller, and finally, the disturbance is also estimated. UIO is designed for SAPF to deal with nominal conditions and in the presence of sinusoidal disturbance.The OPAL-RT results clearly show that LO introduces steady state error between the reference input and the estimated state of SAPF in the presence of disturbances. This steady state error is completely eliminated in presence of all disturbances using UIO. The results also show that UIO perfectly tracks the reference input in the presence of disturbances. Further, disturbances are also estimated perfectly with UIO.