Gadupudi Lakshminarayana

At present years, Power Quality (PQ) issues are considered as the major concern in power distribution systems. These PQ issues are mostly caused because of the disturbance due to the non-linear loads. PQ issues generally comprise of harmonics which is highly important to mitigate beside with compensation of reactive power. This work develops the Shunt Active Power Filter (SAPF) is the better option to diminish harmonic contamination and its performance is based on the control algorithm. The reduced switch 17 level Multi Level Inverter (MLI) is managed by a hysteresis current based PWM generator, introduces compensation currents via the SAPF to alleviate the harmonics and enhance quality of power at the Point of Common Coupling (PCC). Furthermore, to provide requisite power supply, Renewable Energy Resources (RES) based Photovoltaic (PV) system is utilized. To further boost the PV power production, an Adaptive Inductor Step-Up Converter (AISC) is deployed which enables to obtain higher level output voltage with increased voltage gain. In addition to this, Fennec Fox optimization based Artificial Neural Network (FFO-ANN)-Maximum Power Point Tracking (MPPT) strategy is employed to increase the PV power extraction process along with accurate and precise monitoring of MPP. Therefore, the developed system enables to attain improved PQ with reduced harmonics and stabilized voltage level at PCC. The implemented research is validated using MATLAB/Simulink tool and the acquired outcomes demonstrates the effective system performance, thereby, providing enhanced PQ with reduced losses.

The main objectives of the study are to improve power quality (PQ) in grid-connected systems and mitigate voltage disturbances by using a dynamic voltage restorer (DVR) powered by a Photovoltaic (PV) system. By integrating PV as the primary power input, the DVR supplies clean energy for voltage restoration, thereby enhancing system efficiency and reliability. This approach provides transition to sustainable energy practices by minimizing the dependency on traditional power grid during disturbances. These objectives were achieved by integrating a Switched Inductor Cascaded Boost Converter (SICBC) for efficient voltage boosting and employing a Pine Cone Optimized Proportional-Integral (PCO-PI) controller for precise output regulation. The SICBC provides provide high and stable voltage gainwith improved conversion efficiency, essential for maintaining DVR performance at PV power fluctuations. The cascaded configuration mitigates stress on passive elements, contributing towards better thermal management and longer system life. By adopting the Pine Cone Optimization algorithm, the controller's parameters are fine-tuned to achieve optimal performance in terms of settling time, steady-state error and overshoot. The algorithm mimics the natural seed dispersal behavior of pine trees to explore and exploit the control parameter space effectively. The most important results are a recorded efficiency of 97.9% and a reduction in Total Harmonic Distortion (THD) to 2.56%, as demonstrated through MATLAB/Simulink-based simulations.Furthermore, the system demonstrated robust voltage compensation during both symmetric and asymmetric fault conditions. The obtained result revealsthe proposed DVR-PV strategy substantially improves power stabilityand quality, reinforcing the practical viability of renewable-integrated compensators in modern electric grids.

Climate conditions that cause Power Quality (PQ) issues greatly affect the electricity produced by Renewable Energy Sources (RES), such as Photovoltaic (PV) systems, which need quick adjustment of energy transmission and distribution systems. To mitigate reactive power compensation and lower voltages well, sag, and Total Harmonic Distortion (THD), the Distribution Static Synchronous Compensator (DSTATCOM) is exploited. The function of DSTATCOM is effectively managed by a Decoupled Neural Network (DNN) controller. The DSTATCOM receives the power from the PV system, and its voltage is enhanced by an improved cascaded boost converter. Furthermore, the Horse Held Optimization (HHO) based Fuzzy Maximum Power Point Tracking (MPPT) is employed to track peak power from the PV system. MATLAB/Simulink platform is employed to assess the validation of the developed DSTATCOM with the control method under the rated capacity of distribution generation. Finally, the findings in this research demonstrate the enhanced performance of PV-DSTATCOM while ensuring grid integration and improved PQ with Total Harmonic Distortion (THD) values of 1.10%, 0.71%, and 1.06%.

A static synchronous compensator (STATCOM) is a powerful mechanism for balancing reactive power and uplift voltage stability in a transmission system. Nowadays, the desire to save energy by reducing losses is prioritized as an essential target instead of increasing the power generation for the sustainability of any nation’s growth plans. As a result, power-electronics-based converters are more significant for power savings in transmission systems. STATCOM based on voltage source converters (VSC) are operated to improve on stable performance conditions as well as to minimize the harmonic distortions in a power system. Hence, this paper explores low harmonic distortions of fifteen-level VSC structured STACOM using only one DC-link voltage to balance the reactive power and to manage the voltage profile in large power transmission systems. STATCOM consisting of H-bridge type VSCs and binary weighted transformers was utilized to maintain an AC system voltage at 132 kV, 50 Hz. The three stages of VSCs were operated with meticulous firing angles based on converter levels for controlling THD (total harmonic distortion) and providing system improvement. The proposed model of the fifteen-level H-bridge type voltage source converters with fuzzy logic decoupled control algorithm based STATCOM can be used for large power range applications with a small number of switches. This model attained stable operation of the system with a low harmonic deviation at any dynamical conditions. The simulation results using MATLAB showed that the system’s operation was enhanced, with a smoother response and improved steady state performance.