Chandra Shekar Thelukuntla

@mvsrec.edu.in

Associate Professor
Maturi Venkata Subba Rao Engineering College

Chandra Shekar Thelukuntla


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https://researchid.co/tchandoo
11

Scopus Publications

136

Scholar Citations

6

Scholar h-index

6

Scholar i10-index

Scopus Publications

  • PRc-PID with Teaching Learning Based Optimization Algorithm (TLBO) Based UPQC to Improve Power Quality in Standalone Microgrid
    P.B. Guru Prasanna, Neela Ramanathan, T. Chandra Shekar
    International Journal of Electrical and Electronics Research, 2025
    Isolated microgrids (MG) have become increasingly popular due to their enhanced adaptability in addressing customer needs, but pollution has also increased as a result. When integrating renewable energy sources with different loads, the MG will experience increased power quality (PQ) issues. Reducing MG's PQ problems is the main objective of this paper. PQ problems can be resolved with the help of the system's Unified PQ Conditioner (UPQC) device. UPQC performance is improved by integrating PRc-PID with a Teaching Learning Optimization Algorithm-based controller in series with a shunt active power filter to lessen current and voltage PQ issues. Solar cells and wind turbines are all proposed for a separate MG. To ensure the optimal supply to the converter, UPQC shunt and series regulators use an integrated proportional resonant cascaded proportional-integral-derivative (PRc-PID) controller. PQ issues like current and voltage are fixed by a control process to improve MG's steady and reliable operation. The Simulink platform is used to implement the proposed work. Three different scenarios are used to confirm the efficacy of the proposed method. The total harmonic distortion (THD) of the proposed method is 10.56%. Investigations are conducted into harmonics and other PQ issues, including swell and SAG.
  • Enhanced Maximum Power Point Tracking for Hybrid Solar and Wind Systems Using Fractional-Order Constant Voltage Topology: A Novel Approach in Power Electronics
    N. Ravi, R. Arunmozhi, T. Chandra Shekar
    International Journal of Electrical and Electronics Research, 2024
    The growing demand for renewable energy has led to the integration of solar and wind systems as sustainable power sources. Efficient energy harvesting from these systems requires precise tracking of the maximum power point (MPP) under varying environmental conditions. The integration of solar and wind energy systems is vital for achieving sustainable power generation. The objective of this research is to develop an efficient Maximum Power Point Tracking (MPPT) technique that addresses the variability of environmental conditions in hybrid solar and wind systems. This study introduces a novel approach using Fractional-Order Constant Voltage (FO-CV) topology for MPPT. The proposed method leverages fractional-order calculus to enhance the adaptability and accuracy of traditional MPPT techniques. In this approach, the constant voltage technique is applied to maintain the system's operating point near the Maximum Power Point (MPP) under fluctuating solar irradiance and wind speeds, while the fractional-order controller ensures improved dynamic response. Simulation results demonstrate that the FO-CV topology outperforms conventional MPPT methods, achieving faster convergence to the MPP, higher energy efficiency, and greater system stability. The findings highlight that the FO-CV method not only optimizes power extraction but also reduces fluctuations in power output during sudden changes in environmental conditions. The novelty of this approach lies in the combination of fractional-order control with constant voltage tracking, which provides a more robust and adaptable solution for hybrid renewable energy systems.
  • Pairing voltage-source converters with PI tuning controller based on PSO for grid-connected wind-solar cogeneration
    Ch. Sreenu, G. Mallesham, T. Chandra Shekar, Surender Reddy Salkuti
    Franklin Open, 2024
    This paper introduces a novel method to improve the efficiency of grid-connected wind-solar cogeneration systems. It involves the integration of Voltage-Source Converters (VSCs) with a Proportional-Integral (PI) tuning controller that has been optimized using Particle Swarm Optimization (PSO). Integrating renewable energy sources into power grids presents a set of challenges in terms of ensuring stability and optimizing power flow. VSCs are essential for effectively managing power flow between renewable sources and the grid. The PI controller is vital in maintaining voltage levels and ensuring stable operation. Conventional PI controller tuning methods commonly rely on heuristic approaches, which might only partially optimize performance across various operational conditions. In order to tackle this issue, PSO is utilized to fine-tune the parameters of the PI controller automatically. This results in a significant reduction in system deviations and a notable improvement in efficiency, even when faced with fluctuating wind and solar conditions. The simulation results conducted in MATLAB/Simulink confirm the effectiveness of the proposed approach in enhancing system stability and reducing response times. The PI controller optimized using PSO showcases exceptional adaptability to varying environmental and grid conditions, resulting in minimized power fluctuations and improved grid reliability. This study makes a valuable contribution to the field of renewable energy integration. It provides valuable insights into enhancing the performance of grid-connected wind-solar cogeneration systems through advanced control techniques and optimization algorithms such as PSO.
  • An Intelligent Approach for MPPT Extraction in Hybrid Renewable Energy Sources
    N. Ravi, R. Arunmozhi, T. Chandra Shekar
    International Journal of Electrical and Electronics Research, 2024
    A multi-source power system that integrates sustainable energy sources for power generation. MPPT, or Maximum Power Point Tracking, is a method employed to optimise the power generation of sources, such as solar panels or wind turbines. Since the efficiency of these sources can vary due to environmental conditions (like sunlight intensity or wind speed), MPPT algorithms optimize the electrical operational parameters of the modules to guarantee they are functioning at their highest efficiency. In the context of MPPT, fuzzy logic is used to handle the uncertainties and nonlinearities in the behaviour of these sources. It allows for a more adaptive and resilient control strategy, which can be particularly effective in fluctuating environmental conditions. When fuzzy logic is applied to MPPT in a hybrid power system, the goal is to intelligently manage and optimize the power output from various sources. This process involves continuously monitoring environmental factors and the performance of each power source. This integration of fuzzy logic into MPPT for hybrid power systems represents an advanced step in renewable energy management, making it possible to get the most out of these resources even under varying and unpredictable conditions.
  • H∞ loop-shaping of a multi-input dc-dc converter using weight function parameter optimization
    Amarendra Reddy Bhimavarapu, Chandra Shekar Thelukuntla, Phanindra Thota
    Engineering Research Express, 2022
    Designing of controllers for Multi-Input DC-DC Converter (MIDDC) topology is a challenging task due to control loop interactions. Most of the closed loop controllers designed for MIDDC topologies are by considering the interactions measures of the closed loops. In this article a non-isolated MIDDC converter with a compact structure is chosen and designing of robust controller using H ∞ Loop Shaping Design (HILSD) methodology and is interaction independent. Stabilizing controller design require the selection of the weight function parameters, if the selection of weight function parameters is not chosen properly in designing of controller it may not achieve reasonable compromise between robust performance and robust stability. So, for better the design efficacy of HILSD, a weight function optimization problem is formulated where, Frequency Integral Square Error (FISE) based performance index is used as objective function, however the performance level of the designed controller which regulates MIDDC converter system and success of loop-shaping procedure are used as constraints. Global search algorithm has been used in this work to find the global optimum weight function parameters and these are obtained in MATLAB environment. Effectiveness of MIDDC converter is verified viz. simulation in PSIM environment with HILSD controller for the regulation of load voltage as well as load division by considering a 100 W, 36 V/12 V to 24 V dc power converter.
  • Techno-Economic Analysis of Hybrid Renewable Energy Based Community Microgrid
    Raveendra Reddy Medam, K. Kavitha, T. Chandrashekar
    2021 IEEE Mysore Sub Section International Conference Mysurucon 2021, 2021
    As energy demand is growing, nations are committed to increasing renewable energy penetration to mitigate greenhouse gas emissions. Nations are committed to boosting the renewable energy penetration to mitigate the Green House gas emissions. To encourage clean energy and reduce carbon footprint, adopting renewable energy sources are inevitable for any country. In the light of sustainable development goals (SDG) optimal utilization of various sustainable hybrid renewable energy sources along with storage is the need of the hour. To champion this cause, microgrids are playing a vital role. In this paper, a techno-economic analysis of hybrid renewable energy-based community Microgrid (MG) has been proposed. The objective of the study is to design the Microgrid with optimal configuration. It includes a photovoltaic, wind turbine, diesel generator, and biogas generator as distributed energy resources and battery storage .HOMER Pro software is used for optimal configuration and design of Microgrid. ETAP software is used for technical validation to ensure voltage limits within the IEEE-1547-2018 standards.
  • Adaptive tuning algorithm for single-phase Z-source inverters
    Chandra Shekar Thelukuntla, Veerachary Mummadi
    Iet Power Electronics, 2017
    This study proposes an adaptive tuning algorithm for dynamic adjustment of the saturation limits for the shoot-through duty ratio (STDR) and modulation index of a Z-source inverter. This adaptive tuning is crucial in Z-source inverter applications where wide fluctuations in dc source voltage are expected. Even though a standalone application is chosen here to demonstrate the validity of an adaptive tuning algorithm, the proposed algorithm is equally valid for other applications using Z-source inverter based topologies also. The effects of non-idealities on dc-link voltage and ac output voltages are investigated, and STDR expressions for which the dc-link voltage is maximal are derived. Subsequently, these expressions are utilised to define the saturation limit of the STDR in the proposed adaptive tuning algorithm. The transient phenomenon of state-switching behaviour in a Z-source inverter under closed-loop operation is analysed for different perturbed conditions. A laboratory prototype of a 250 VA single-phase Z-source inverter is built to demonstrate the proposed adaptive tuning algorithm. The proposed algorithm and associated control laws are implemented using a dsPIC30f6010 microcontroller. The effectiveness of the closed-loop controlled single-phase Z-source inverter system is tested with linear and non-linear loads. The measured results are in close agreement with analytical investigations.
  • Analysis of single phase asymmetric Z-source inverter
    Chandra Shekar Thelukuntla, Mummadi Veerachary
    2015 International Conference on Energy Power and Environment Towards Sustainable Growth Icepe 2015, 2016
    This paper presents analysis of asymmetric single phase Z-source inverter (SPZSI). Small signal model for un-terminated asymmetric Z-source network has been derived. The asymmetric nature of Z-source network leads to formation of up-down glitch in its control to Z-source capacitor voltage transfer functions. The up-down glitch is due to the complex zero frequency falling in between pair of complex pole frequencies that introduces sudden slope changes in bode magnitude plot. Simulation and experimental results against perturbations are presented to show the efficacy of designed controller.
  • Resonant controller based single-phase Z-source inverter with LCL-filter
    Chandra Shekar Thelukuntla, Mummadi Veerachary
    2010 Joint International Conference on Power Electronics Drives and Energy Systems Pedes 2010 and 2010 Power India, 2010
    This paper presents a proportional plus resonant controller based single-phase Z-source inverter with LCL-filter for a utility connected system. Proportional plus integral (PI) control of ac systems has steady state error and can be eliminated by a resonant controller which incorporates model of input signal in its loopgain, by internal model principle [4]. Small distributed generation (DG) system with alternate energy sources requires power conditioning units with low cost, high efficiency and tolerance to wide range of input voltage variation and has to perform various functions such as dc-ac conversion, system control and achieve power quality norms. Z-source inverter is a single-stage topology that can buck or boost output ac voltage. A two-loop control strategy for ac side control with utility current feedback and inductor voltage feedback as inner loop with voltage feed-forward is employed, on input side PID control is employed to regulate Z-source capacitor voltage which gives good transient response, also suppress load and source disturbances effectively. Simulation results are presented to validate proposed control strategy, experimental results are provided to validate the of PID control on dc side of ZSI.
  • Control of single-phase Z-source inverter for a grid connected system
    T. Chandrashekhar, M. Veerachary
    2009 International Conference on Power Systems Icps 09, 2009
    This paper presents a single-phase Z-source inverter as a power conditioning system for a grid-connected system. Z-source inverter is a single-stage topology that has buck-boost feature, which is possible because of additional shoot through state introduced in zero state of the conventional inverter pulse width modulation and provides desired output ac voltage. Small DG system with alternate energy sources requires power conditioning units with low cost, high efficiency and tolerance to wide range of input voltage variation and has to perform various functions such as dc-ac conversion, system control and achieve power quality norms. A two-loop control strategy, one Z-source capacitor voltage regulation and other for ac side control with inductor current feedback with voltage feed-forward is employed, which gives good transient response also suppress load and source disturbances effectively. Simulation results are presented to validate proposed control strategy and also open-loop results presented.
  • Multi-loop control of Z-source inverter for single-phase power conditioning systems
    Thelukuntla Chandra Shekar, Mummadi Veerachary
    INTELEC International Telecommunications Energy Conference Proceedings, 2009

RECENT SCHOLAR PUBLICATIONS

  • PRc-PID with Teaching Learning Based Optimization Algorithm (TLBO) Based UPQC to Improve Power Quality in Standalone Microgrid
    PBG Prasanna, N Ramanathan, TC Shekar
    International Journal of Electrical and Electronics Research (IJEER) 13 (4 … , 2025
    2025.0
  • Application of Swarm Intelligence Techniques for Quasi-Z-Source Inverters in Renewable Energy Systems
    SRS Ch. Sreenu, G. Mallesham, T. Chandra Shekar
    Artificial Intelligence for Integrated Smart Energy Systems in Electric … , 2025
    2025.0
  • Performance Evaluation of Quasi Z-Source Inverter Utilize for Grid Connected with Wind-PV Co-generation Systems
    SRS Ch. Sreenu, G. Mallesham, T. Chandra Shekar
    Artificial Intelligence for Integrated Smart Energy Systems in Electric … , 2025
    2025.0
    Citations: 1
  • High-gain quasi Z-source converters (HGQZSCs) with artificial bee colony (ABC) control for grid-integrated solar–wind energy sources
    C Sreenu, G Mallesham, TC Shekar
    TIDEE: TERI Information Digest on Energy and Environment 24 (1), 34-34 , 2025
    2025.0
  • High gain quasi Z-source converters with artificial bee colony control for grid-integrated solar-wind energy sources
    C Sreenu, G Mallesham, TC Shekar, SR Salkuti
    Green Energy and Intelligent Transportation, 100264 , 2025
    2025.0
    Citations: 14
  • Enhanced Maximum Power Point Tracking for Hybrid Solar and Wind Systems Using Fractional-Order Constant Voltage Topology: A Novel Approach in Power Electronics
    N Ravi, R Arunmozhi, TC Shekar
    International Journal of Electrical and Electronics Research 12 (4), 1391-1398 , 2024
    2024.0
  • Pairing voltage-source converters with PI tuning controller based on PSO for grid-connected wind-solar cogeneration
    C Sreenu, G Mallesham, TC Shekar, SR Salkuti
    Franklin Open 8, 100138 , 2024
    2024.0
    Citations: 22
  • An Intelligent Approach for MPPT Extraction in Hybrid Renewable Energy Sources
    TCS N. Ravi, R. Arunmozhi
    International Journal of Electrical and Electronics Research (IJEER) 12 (3 … , 2024
    2024.0
    Citations: 1
  • Control of Quasi Z-Source Converter in a Microgrid Using Modified Power Ratio P&O MPPT
    TCS Ch. Sreenu, G. Mallesham
    Proceedings of the Second International Conference on Emerging Trends in … , 2023
    2023.0
    Citations: 6
  • H∞ loop-shaping of a multi-input dc-dc converter using weight function parameter optimization
    TP Chandra Shekar, Amarendra Reddy
    Engineering Research Express 4 (3) , 2022
    2022.0
    Citations: 5
  • Techno-Economic Analysis of Hybrid Renewable Energy Based Community Microgrid
    RR Medam, K Kavitha, T Chandrashekar
    2021 IEEE Mysore Sub Section International Conference (MysuruCon), 1-6 , 2021
    2021.0
    Citations: 12
  • Adaptive Tuning Algorithm for Single-phase Z-Source Inverters
    CS Thelukuntla, M Veerachary
    IET Power Electronics 10 (3), 302 - 312 , 2017
    2017.0
    Citations: 11
  • Analysis of single phase asymmetric Z-source inverter
    CS Thelukuntla, M Veerachary
    2015 International Conference on Energy, Power and Environment: Towards … , 2015
    2015.0
    Citations: 5
  • Control of Z-Source Inverter Connected to a Single-Phase AC Utility System
    T Chandrashekar, M Veerachary
    Journal of Energy and Power Engineering 5 (5), 447-454 , 2011
    2011.0
    Citations: 2
  • Resonant controller based single-phase Z-source inverter with LCL-filter
    CS Thelukuntla, M Veerachary
    2010 Joint International Conference on Power Electronics, Drives and Energy … , 2010
    2010.0
    Citations: 16
  • Multi-loop control of Z-source inverter for single-phase power conditioning systems
    TC Shekar, M Veerachary
    Telecommunications Energy Conference, 2009. INTELEC 2009. 31st International … , 2009
    2009.0
    Citations: 3
  • Control of Single-Phase Z-source Inverter for a Grid Connected System
    T Chandrashekhar, M Veerachary
    Third International Conference on Power Systems, Kharagpur, INDIA, 1-6 , 2009
    2009.0
    Citations: 38
  • Green Energy and Intelligent Transportation
    C Sreenu, G Mallesham, TC Shekar, SR Salkuti
  • Franklin Open
    C Sreenu, G Mallesham, TC Shekar, SR Salkuti

MOST CITED SCHOLAR PUBLICATIONS

  • Control of Single-Phase Z-source Inverter for a Grid Connected System
    T Chandrashekhar, M Veerachary
    Third International Conference on Power Systems, Kharagpur, INDIA, 1-6 , 2009
    2009.0
    Citations: 38
  • Pairing voltage-source converters with PI tuning controller based on PSO for grid-connected wind-solar cogeneration
    C Sreenu, G Mallesham, TC Shekar, SR Salkuti
    Franklin Open 8, 100138 , 2024
    2024.0
    Citations: 22
  • Resonant controller based single-phase Z-source inverter with LCL-filter
    CS Thelukuntla, M Veerachary
    2010 Joint International Conference on Power Electronics, Drives and Energy … , 2010
    2010.0
    Citations: 16
  • High gain quasi Z-source converters with artificial bee colony control for grid-integrated solar-wind energy sources
    C Sreenu, G Mallesham, TC Shekar, SR Salkuti
    Green Energy and Intelligent Transportation, 100264 , 2025
    2025.0
    Citations: 14
  • Techno-Economic Analysis of Hybrid Renewable Energy Based Community Microgrid
    RR Medam, K Kavitha, T Chandrashekar
    2021 IEEE Mysore Sub Section International Conference (MysuruCon), 1-6 , 2021
    2021.0
    Citations: 12
  • Adaptive Tuning Algorithm for Single-phase Z-Source Inverters
    CS Thelukuntla, M Veerachary
    IET Power Electronics 10 (3), 302 - 312 , 2017
    2017.0
    Citations: 11
  • Control of Quasi Z-Source Converter in a Microgrid Using Modified Power Ratio P&O MPPT
    TCS Ch. Sreenu, G. Mallesham
    Proceedings of the Second International Conference on Emerging Trends in … , 2023
    2023.0
    Citations: 6
  • H∞ loop-shaping of a multi-input dc-dc converter using weight function parameter optimization
    TP Chandra Shekar, Amarendra Reddy
    Engineering Research Express 4 (3) , 2022
    2022.0
    Citations: 5
  • Analysis of single phase asymmetric Z-source inverter
    CS Thelukuntla, M Veerachary
    2015 International Conference on Energy, Power and Environment: Towards … , 2015
    2015.0
    Citations: 5
  • Multi-loop control of Z-source inverter for single-phase power conditioning systems
    TC Shekar, M Veerachary
    Telecommunications Energy Conference, 2009. INTELEC 2009. 31st International … , 2009
    2009.0
    Citations: 3
  • Control of Z-Source Inverter Connected to a Single-Phase AC Utility System
    T Chandrashekar, M Veerachary
    Journal of Energy and Power Engineering 5 (5), 447-454 , 2011
    2011.0
    Citations: 2
  • Performance Evaluation of Quasi Z-Source Inverter Utilize for Grid Connected with Wind-PV Co-generation Systems
    SRS Ch. Sreenu, G. Mallesham, T. Chandra Shekar
    Artificial Intelligence for Integrated Smart Energy Systems in Electric … , 2025
    2025.0
    Citations: 1
  • An Intelligent Approach for MPPT Extraction in Hybrid Renewable Energy Sources
    TCS N. Ravi, R. Arunmozhi
    International Journal of Electrical and Electronics Research (IJEER) 12 (3 … , 2024
    2024.0
    Citations: 1
  • PRc-PID with Teaching Learning Based Optimization Algorithm (TLBO) Based UPQC to Improve Power Quality in Standalone Microgrid
    PBG Prasanna, N Ramanathan, TC Shekar
    International Journal of Electrical and Electronics Research (IJEER) 13 (4 … , 2025
    2025.0
  • Application of Swarm Intelligence Techniques for Quasi-Z-Source Inverters in Renewable Energy Systems
    SRS Ch. Sreenu, G. Mallesham, T. Chandra Shekar
    Artificial Intelligence for Integrated Smart Energy Systems in Electric … , 2025
    2025.0
  • High-gain quasi Z-source converters (HGQZSCs) with artificial bee colony (ABC) control for grid-integrated solar–wind energy sources
    C Sreenu, G Mallesham, TC Shekar
    TIDEE: TERI Information Digest on Energy and Environment 24 (1), 34-34 , 2025
    2025.0
  • Enhanced Maximum Power Point Tracking for Hybrid Solar and Wind Systems Using Fractional-Order Constant Voltage Topology: A Novel Approach in Power Electronics
    N Ravi, R Arunmozhi, TC Shekar
    International Journal of Electrical and Electronics Research 12 (4), 1391-1398 , 2024
    2024.0
  • Green Energy and Intelligent Transportation
    C Sreenu, G Mallesham, TC Shekar, SR Salkuti
  • Franklin Open
    C Sreenu, G Mallesham, TC Shekar, SR Salkuti