T. Vijay Muni
Koneru Lakshmaiah Education Foundation

Published : 6 Documents Claim Missing Document
Claim Missing Document
Check
Articles

Found 6 Documents
Search

Enhanced power quality in PV integrated EV fed microgrid using intelligent controller D. Balasubramanyam; G. G. Raja Sekhar; T. Vijay Muni
International Journal of Power Electronics and Drive Systems (IJPEDS) Vol 17, No 2: June 2026
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijpeds.v17.i2.pp1165-1176

Abstract

The need for electric cars (EVs) is steadily rising in the world due to the rise in emissions like CO2 and environmental effects brought on by conventional automobiles. EVs have also transformed the transportation industry. These days, EVs are popular because of their special qualities, which include lower noise pollution, carbon emissions, and operating expenses, as well as the capacity to operate in both grid-to-vehicle (V2G) and vehicle-to-grid (V2G) scenarios. Nevertheless, it affects the power distribution grid in a number of ways. There are various power concerns owing to the introduction of EVs in the distribution system, like instability of voltage, distortions in currents, harm onic distortions, power factor degradation, and fluctuations in voltage. The primary emphasis of this study is on mitigating PQ issues like harmonics produced in the distributed power network when electric vehicles are integrated at the distribution end. In order to reduce harmonics and enhance the distribution side's current profile, a dynamic active power filter (DAPF) with PSO-tuned ICC control technique is introduced. Performance of PSO-DAPF is validated with the help of MATLAB/Simulink, along with V2G and V2G operation.
High-gain DC-DC converter with advanced techniques: a review Anitha Sagari Ravirala; T. Vijay Muni; T. Vinodita; K. Venkata Kishore; Ramoju Bheema Sankaram; Yuriy Yu Shvets
International Journal of Power Electronics and Drive Systems (IJPEDS) Vol 17, No 2: June 2026
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijpeds.v17.i2.pp1105-1117

Abstract

This article provides an in-depth examination of recent advances in high-gain DC-DC converters, emphasizing soft-switching techniques and topological innovations that minimize voltage stress for renewable energy applications. High-gain DC-DC converters are crucial in photovoltaic and fuel-cell systems, where boosting low input voltages to higher levels must be achieved with high efficiency and compact design. Traditional boost converters fall short due to elevated switching stress, discontinuous input currents, and lower efficiency at high-gain levels. To address these limitations, this review categorizes and critically evaluates state-of-the-art converter topologies developed for high-gain operation. The main contributions of this review are as follows: i) A systematic classification of high-gain converter configurations with emphasis on their operational principles; ii) A detailed evaluation of soft-switching techniques, including zero voltage switching (ZVS) and zero current switching (ZCS), focusing on their roles in reducing switching losses and electromagnetic interference; iii) An analytical discussion on voltage stress mitigation methods and improved control strategies; and iv) An assessment of emerging trends in integrating advanced power electronics with renewable energy systems. These contributions collectively provide a comprehensive reference for researchers and engineers, supporting the development of next-generation high-performance DC-DC converters tailored for sustainable energy applications.
Advanced soft-switching high-gain Re Boost Luo converter for enhanced efficiency in photovoltaic systems Vendoti Suresh; Dondapati Ravi Kishore; T. Vijay Muni; P. Hari Krishna Prasad; Pydi Bala Krishna; A. V. G. A. Marthanda
International Journal of Power Electronics and Drive Systems (IJPEDS) Vol 17, No 2: June 2026
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijpeds.v17.i2.pp1177-1187

Abstract

This work presents an innovative approach to improving efficiency and performance in photovoltaic (PV) systems through the development of a soft-switching high-gain Re Boost Luo converter. This converter integrates advanced soft-switching techniques to minimize switching losses, thereby enhancing overall system efficiency, which is crucial for applications requiring substantial voltage amplification from PV sources. The Re Boost Luo converter, with its inherent high-gain capability, facilitates superior voltage conversion ratios, enabling optimal energy extraction from PV panels across varying environmental conditions. The presented converter's design focuses on reducing electromagnetic interference (EMI) and alleviating stress on switching components, thereby extending their operational lifespan and reliability. Detailed modeling and performance analysis were carried out using the MATLAB/Simulink simulation environment, which allowed for comprehensive evaluation of the converter's functionality. Simulation results confirm that the converter achieves significant improvements in voltage gain, energy conversion efficiency, and system reliability, effectively addressing common challenges associated with high-voltage PV applications. This study underscores the converter's potential to advance renewable energy technologies by providing a robust solution for high-efficiency energy conversion in PV systems.
Super-twisting sliding mode control for enhanced performance of grid-connected PV systems with H-bridge multilevel inverter CH. Venkata Amarnadh; T. Vijay Muni; T. Anuradha Devi; Rakesh Teerdala; M. Kiran Kumar; Kambhampati Venkata Govardhan Rao
International Journal of Applied Power Engineering (IJAPE) Vol 15, No 2: June 2026
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijape.v15.i2.pp464-479

Abstract

This paper presents an enhanced control strategy for a grid-connected photovoltaic (PV) system employing a novel H-bridge multilevel inverter (MLI). The key contribution of this work lies in replacing the conventional proportional-integral (PI) controller with a super-twisting sliding mode controller (STSMC) for DC-link voltage regulation. Unlike earlier approaches that suffer from slow response, steady-state errors, and limited robustness under varying solar and temperature conditions, the proposed STSMC ensures faster transient response, finite-time convergence, and strong disturbance rejection without the chattering problem of classical sliding mode controllers. Another distinctive aspect of this study is the integration of STSMC with direct model predictive control (DMPC) for grid current regulation, enabling accurate reference current generation and improved synchronization. The novel H-bridge MLI topology further enhances system efficiency by reducing the number of switches while producing a seven-level output with lower total harmonic distortion (THD). Simulation results demonstrate that the proposed strategy achieves superior performance compared to the conventional PI-based system, with improvements in voltage stability, current quality, and reduced THD. These findings confirm the novelty and effectiveness of the proposed control scheme for reliable and efficient PV grid integration.
Multi-carrier PWM techniques to assess the performance of a 5-level diode clamped multilevel inverter fed PMSM drive K. Lakshmi; T. Vijay Muni; P. Hari Krishna Prasad; Budi Srinivasa Rao; G. Nageswara Rao; K. B. Anilkumar
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.pp582-592

Abstract

The advantages of multilevel inverters (MLIs) have led to their increased use in high- and medium-voltage power applications. These inverters reduce harmonic content, common-mode voltage, dv/dt stress on switches, and electromagnetic interference, among other things. In recent decades, drives for permanent magnet synchronous machines (PMSMs) that rely on inverters have become increasingly popular in both commercial and residential settings due to their great performance. Phase disposition (PD), phase opposition disposition (POD), and alternate phase opposition disposition (APOD) are three multi-carrier pulse width modulation (MCPWM) approaches that were simulated in this work to explore a 5-level DCMLI-fed PMSM. In order to create control pulses, each method compares reference signals with carrier signals that are either triangular or trapezoidal. Detailed comparisons with conventional three-level voltage source inverters (VSIs) are made based on the results. A 63.21 percent improvement in the total harmonic distortion (THD) of the output voltage and a 26.52% improvement in the THD of the stator current are both supported by experimental evidence.
Artificial neural network-optimized bridgeless Landsman converter for enhanced power factor correction in electric vehicle applications Podila Purna Chandra Rao; Radhakrishnan Anandhakumar; T. Vijay Muni; L. Shanmukha Rao
International Journal of Applied Power Engineering (IJAPE) Vol 15, No 1: March 2026
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijape.v15.i1.pp238-247

Abstract

Electric vehicles (EVs) are gaining popularity globally due to their energy-efficient battery storage systems, low carbon emissions, and eco-friendly operation. By transforming both the transportation and electrical sectors, EVs could create a synergistic relationship that reduces fossil fuel use and improves renewable energy integration. However, this convergence emphasizes the necessity for appropriate power factor correction (PFC) methods, especially in EV battery charging systems, to alleviate supply-end PQ concerns. Use of a bridgeless Landsman converter (BLC), noted for its efficiency and link voltage monitoring, is innovative in this research. A proportional-integral (PI) controller tuned by an artificial neural network (ANN) improves prediction and classification, especially response time. The ANN-based PI controller optimises system performance in real time using adaptive control. Using a hysteresis controller attached to a pulse width modulation (PWM) generator regulates the converter's steady-state switching frequency for accurate and consistent output. The proposed approach reduces harmonic distortions and improves operating efficiency. This comprehensive architecture improves power factor and addresses significant PQ concerns in EV charging infrastructure. Integrating improved control tactics and converter design shows that this approach may support electric car technology developments. MATLAB simulations show that power factor correction (PFC) charges EV batteries quickly and effectively. Findings suggest the technique could increase power quality, system efficiency, and EV uptake.