B.Tech Degree in Electrical and Electronics Engineering from JNT University, Hyderabad at SVEC,
Rangampet.
M.Tech in PSOC and Ph.D from S.V. University College of Engineering, Tirupati, India
RESEARCH, TEACHING, or OTHER INTERESTS
Engineering, Electrical and Electronic Engineering, Energy, Energy Engineering and Power Technology
16
Scopus Publications
84
Scholar Citations
6
Scholar h-index
4
Scholar i10-index
Scopus Publications
Sliding Window Based Demand Forecasting Using a Transformer Deep Learning Technique A. Hema Sekhar, Aravindh R, D. Kesavan, P. Vivek, S. Amosedinakaran, P.Babu Rao 2026 International Conference on Recent Advances in Electrical Electronics Ubiquitous Communication and Computational Intelligence Raeeucci 2026, 2026 This study presents a sliding-window based demand forecasting model using a transformer deep learning technique to accurately predict future electric demand. For effective operation, grid stability, and planning in contemporary energy systems, accurate power demand forecasting is essential. To represent temporal interdependence in sequential power consumption data, the suggested model uses a sliding window method. The transformer model can learn intricate temporal patterns and seasonal fluctuations because to this method's efficient conversion of continuous demand data into structured input output sequences. The Tamil Nadu power system is considered as study system. The 49 years of electric demand data in MW have been used, starting from 1976. Two-thirds of the data are used for training, and one-third is used for testing. In this study The Root Mean Squared Error (RMSE) is used as the fitness function to quantify model performance. In comparison to conventional time-series models, prediction accuracy is indicated by the ideal RMSE of 1.39 %. The National Electricity Plan data is used to check the forecasting findings in order to maintain dependability. This ensures that the expected demand trend closely matches national-level estimates. The proposed framework outperforms the baseline models, as shown by a comparison analysis. The proposed methodology shows great promise for demand-side management, operational scheduling, and long-term energy planning in the Tamil Nadu power system.
Grid connected improved sepic converter with intelligent mppt strategy for energy storage system in railway applications Suresh vendoti, A. Hema Sekhar, A. V. Bharadwaja, Bapayya Naidu Kommula, Rayala Sateesh, S. Prabhakar, M. Arunkumar, Cui Yaping Scientific Reports, 2025 In order to increase the utilization rate of regenerative braking energy, reduce the operation cost and improve the power quality of traction power supply system in high-speed railway. This paper presents a grid-connected improved SEPIC converter with an intelligent maximum power point tracking (MPPT) strategy tailored for energy storage systems in railway applications. The proposed system enhances power conversion efficiency and stability by integrating an optimized SEPIC topology with an adaptive MPPT algorithm. The solar PV system supplies voltage to the inverter via an Improved SEPIC converter. A smart MPPT technique is used to regulate the DC bus voltage and control the Improved SEPIC converter. The wind energy conversion system (WECS), featuring a DFIG, performs AC-DC conversion with the help of a PWM rectifier, and the rectifier is managed by a PI controller. The converter's output is fed to the grid through a single-phase VSI, which converts the DC voltage into AC. An LC filter is used to improve the inverter's output. The combined power from the PV and WECS sources is stored in the battery through a bi-directional battery converter. Power from both the battery and the AC output from the single-phase VSI is then injected into the power grid, which supplies energy to the train for its operation. Compared to conventional SEPIC converters, the improved topology reduces voltage stress by 25% and increases efficiency by 97%, ensuring reliable energy storage and grid synchronization. Furthermore, the intelligent MPPT strategy improves tracking speed by 37.5% under dynamic conditions, leading to enhanced energy utilization and reduced response time. Simulation and experimental results (DSPIC30F4011 controller) validate the superior performance, demonstrating its potential for real-world railway applications.
IMPLEMENTATION OF ENHANCED MICROGRID USING MAYFLY ALGORITHM BASED PID CONTROLLER M Murali, A Hema Sekhar Journal of Engineering and Technology for Industrial Applications, 2025 Micro grids, comprised of distributed generation units, are designed to function independently of the main grid. To ensure stable operation in isolated mode, precise control of system is essential. Common challenges faced by standalone microgrids include maintaining stability of the system with balancing the load and generation from renewable energy sources and preventing fluctuations. Primary objective of paper to develop and execute an auxiliary controller capable of regulating system within a networked microgrid environment. Intermittent nature of renewable energy sources can lead to fluctuations in system frequency and power flow variations in tie line. To mitigate these challenges and balance the nonlinear output from renewable sources, Mayfly Algorithm (MA)-optimized Proportional-Integral-Derivative (PID) controller is proposed and implemented. Validation results demonstrate that the proposed MA-PID controller effectively regulates system in response to varying load demands and renewable energy sources.
Solar-Based Load-Side Self-Healing DC Microgrid System P.I.D.T. Bala Durai Kannan, K. Ravi, A. Hema Sekhar, M Murali, S. Mallikarjunaiah, B Anil Kumar 5th IEEE International Conference on Innovations in Power and Advanced Computing Technologies I Pact 2025, 2025 This paper presents a prototype model of a DC microgrid system, incorporating cybersecurity on the source side and self-healing capabilities on the load side. The prototype has two power sources: one is a conventional source, and the other is a renewable energy source (windmill); a DC transmission line for transmitting supply from source to load; two load areas, one with an LED load and another with a motor load; and a self-active backup source. The self-active backup source has solar panels with a battery. Arduino monitors and controls all the components in this prototype. Cybersecurity on the source side frequently checks the source output against the source input. If any deviation occurs, then Arduino provides information to display units. Self-healing on the load side is done by connecting a self-active backup source with the load whenever supply from the transmission line is not available to the corresponding load area. The prototype is developed, and its various outputs under several conditions are shown. The prototype demonstrates its effectiveness by maintaining stable operation even during power fluctuations. Through real-time monitoring and adaptive control, it ensures that all components function optimally, providing a reliable energy solution for the designated load areas.
Power Quality Improvements in a Zeta Converter for Brushless DC Motor Drives P. Hemachandu, N. Kusuma, A. Hema Sekhar, P. Devi Sindhuja, N. Ravi Teja, M. Sharan, Madhu Valavala Proceedings 2024 IEEE International Conference on Intelligent Systems Smart and Green Technologies Icissgt 2024, 2024 These paper delves into the precise control of a Brushless Direct Current (BLDC) motor across all four quadrants comprising forward and reverse motoring as well as braking leveraging a bidirectional DC-DC converter. This converter interfaces between the motor and a three-phase voltage source inverter (VSI), facilitating motor operation. In motoring mode, the converter orchestrates buck operation, drawing power from the battery, while regenerative mode sees mechanical energy transformed into electrical energy, subsequently stored in the same rechargeable battery via boost operation. The proposed scheme capitalizes on the frequent start/stop nature of electric vehicles, advocating for energy recovery with every braking event through regenerative braking. Furthermore, when an electric vehicle traverses downhill, controlled speed regulation enables the efficient return of energy to the battery. The utilization of MATLAB/Simulink software validates the seamless execution of these operations, ensuring optimal performance and energy management. This innovative approach offers a robust solution for enhancing energy efficiency and extending the range of electric vehicles, bolstering their viability in sustainable transportation ecosystems.
A 3-Ф grid connected wind system with a technique of DC link control using fewer sensors with fuzzy controller D. Naveen Kilari, A. Hema Sekhar, N. Sudhakar Reddy, N.P. Dharani International Journal of Intelligent Unmanned Systems, 2023 PurposeThis paper aims to provide a permanent magnet synchronous generator (PMSG) wind turbine, which feeds electric power (AC) to the power grid. The converter, located on the machine side, is used to produce the full amount of wind power. Research on wind energy conversion system (WECS) is carried out in this study using a direct wind turbine in MATLAB with constant and variable speeds.Design/methodology/approachThis paper is about WECS using PMSG and is connected to a grid of two serial converters with common DC connections.FindingsThis paper aims to provide the value of DC connection voltage at its base, regardless of the wind speed alterations, the inverter's output ac voltage can be kept constant.Originality/valueThis paper aims to provide a Hill Climb Search maximum power point tracking (MPPT) algorithm is an effective control system for extracting maximum energy, also called voltage control, pitch control, phase-locked loop (PLL) controls, from a wind turbine. Using the Fuzzy controller, the grid side converter is controlled.
A Fuzzy Logic-Based Control Strategy for Power Balance and Enhance Power Quality in a Grid-Tied PV System S Farook, Malligunta Kiran Kumar, A Hema Sekhar, K. Balaji Nanda Kumar Reddy 2023 3rd International Conference on Intelligent Technologies Conit 2023, 2023 This study emphasizes grid-connected solar photovoltaic systems and fuzzy controllers to optimize the duty cycle of the DC-DC converter and separate the essential components from load current and produce firing signals for voltage source converter operation. The power demand requirement and minimize power quality problems at the common point of coupling were ensured by a fuzzy-based MPPT used to change the duty cycle of the controller and extract the fundamental signals based on the fuzzy similarity index under variable irradiance and ambient temperature conditions. The control approach was applied to a PV system feeding both linear and non-linear loads connected to the grid. The simulation results show a considerable improvement in the performance of the control strategy in mitigating the harmonic disturbances in the system and were inconsist with the requirements of IEEE-519.
Fuzzy Based Intelligent Control Strategy to Mitigate Power Quality Issues in an Interconnected PV System S Farook, A Hema Sekhar, K. Balaji Nanda Kumar Reddy, NMG Kumar, S Deepa 2023 3rd International Conference on Advance Computing and Innovative Technologies in Engineering Icacite 2023, 2023 This study focuses on grid-connected solar PV systems using fuzzy controllers to separate the essential components from load current and produce firing pulses for voltage source converter operation. In order to meet the power demand, need and minimise power quality problems at the common point of coupling, a fuzzy-based MPPT is utilized to modify the duty cycle of the controller under controlled irradiance and ambient temperature circumstances as well as to manage the DC link voltage. The control approach was used to a PV system supplying both linear and non-linear loads that was connected to the grid. The system’s harmonic distortions were seen to be in accordance with IEEE-519 specifications.
Remote Fault Identification and Analysis in Electrical Distribution Network Using Artificial Intelligence Dr. N M G Kumar, Dr. A. Hema Sekhar, Dr. K. Balaji Nanda Kumar Reddy, Angulakshmi M, Dr. Devangkumar Umakant Shah International Journal of Electrical and Electronics Research, 2022 This research describes a method for wavelet decomposition and machine learning-based fault site classification in a radial power distribution network. The first statistical observation is produced using wavelet decomposition and wavelet-based detailed coefficients in terms of Kurtosis and Skewness parameters. For this objective, six distinct machine learning methods are deployed. They are evaluated and compared using unknown data sets with varying degrees of unpredictability. One approach has been shown to be the most accurate in locating the location of the problem bus.
Novel hybrid optimization techniques for analyzing the performance of transmission lines using SVC device International Journal of Electrical Engineering and Technology, 2020
Performance improvement of transmission system using TCSC with firing angle control Journal of Theoretical and Applied Information Technology, 2016
Analysis of multi tcsc placement in transmission system by using firing angle control model with heuristic algorithms Arpn Journal of Engineering and Applied Sciences, 2016
RECENT SCHOLAR PUBLICATIONS
Sliding Window Based Demand Forecasting Using a Transformer Deep Learning Technique AH Sekhar, R Aravindh, D Kesavan, P Vivek, S Amosedinakaran, PB Rao 2026 International Conference on Recent Advances in Electrical, Electronics … , 2026 2026
Grid connected improved sepic converter with intelligent mppt strategy for energy storage system in railway applications S Vendoti, AH Sekhar, AV Bharadwaja, BN Kommula, R Sateesh, ... Scientific Reports 15 (1), 13192 , 2025 2025 Citations: 11
Power Quality Improvements in a Zeta Converter for Brushless DC Motor Drives P Hemachandu, N Kusuma, AH Sekhar, PD Sindhuja, NR Teja, M Sharan, ... 2024 IEEE International Conference on Intelligent Systems, Smart and Green … , 2024 2024 Citations: 1
A fuzzy logic-based control strategy for power balance and enhance power quality in a grid-tied PV system S Farook, MK Kumar, AH Sekhar, KBNK Reddy 2023 3rd International Conference on Intelligent Technologies (CONIT), 1-5 , 2023 2023 Citations: 7
Fuzzy based intelligent control strategy to mitigate power quality issues in an interconnected PV system S Farook, AH Sekhar, KBNK Reddy, NMG Kumar, S Deepa 2023 3rd International Conference on Advance Computing and Innovative … , 2023 2023 Citations: 9
A 3-Ф grid connected wind system with a technique of DC link control using fewer sensors with fuzzy controller D Naveen Kilari, AH Sekhar, NS Reddy, NP Dharani International Journal of Intelligent Unmanned Systems 11 (1), 118-131 , 2023 2023 Citations: 1
Novel hybrid optimization techniques for analyzing the performance of transmission lines using SVC device DAH Sekhar, A Haritha, A Vandana, PC Teja International Journal of Electrical Engineering & Technology 11 (1), 1-14 , 2020 2020 Citations: 11
Novel Hybrid Optimization Techniques for Analyzing the Performance of Transmission Lines Using SVC Device DAH Sekhar, A Haritha, A Vandana, PC Teja International Journal of Electrical Engineering & Technology 11 (1), 2020 , 2019 2019
IMPLEMENTATION OF ADVANCED STATIC VAR COMPENSATOR (SVC) MODEL FOR MINIMIZING THE TRANSMISSION LOSSES AND IMPROVING THE VOLTAGE PROFILE USING NON-CONVENTIONAL ALGORITHMS AH SEKHAR, AL DEVI Journal of Electrical Engineering 17 (4), 12-12 , 2017 2017
Hybrid optimization algorithms for analyzing the performance of transmission system incorporating advanced SVC model AH Sekhar, AL Devi 2017 International Conference on Innovations in Electrical, Electronics … , 2017 2017 Citations: 6
OPTIMAL SIZING AND PLACEMENT OF ADVANCED SVC IN TRANSMISSION SYSTEM BY USING EVOLUTIONARY ALGORITHMS. A SEKHAR, AL Devi i-Manager's Journal on Electrical Engineering 10 (3) , 2017 2017 Citations: 4
IMPLEMENTATION OF UNIFIED POWER FLOW CONTROLLER (UPFC) FOR IMPROVEMENT OF VOLTAGE PROFILE AND MINIMIZATION OF TRANSMISSION LOSSES BY CONVENTIONAL METHOD AH Sekhar, AL Devi International Journal of Advances in Engineering & Technology 9 (6), 663 , 2016 2016
Voltage profile improvement and power system losses reduction with multi TCSC placement in transmission system by using firing angle control model with heuristic algorithms AH Sekhar, AL Devi 2016 International Conference on Signal Processing, Communication, Power and … , 2016 2016 Citations: 14
PERFORMANCE IMPROVEMENT OF TRANSMISSION SYSTEM USING TCSC WITH FIRING ANGLE CONTROL. A SEKHAR, AL DEVI Journal of Theoretical & Applied Information Technology 91 (1) , 2016 2016
Firing Angle SVC Model for Analyzing the Performance of Transmission Network using Newton Raphson Load Flow AH Sekhar, DAL Devi International Journal of Electrical Engineering & Technology 7 (5) , 2016 2016 Citations: 2
A new approach for placement of firing angle model of TCSC to improve the performance of transmission system AH Sekhar, AL Devi Power Research-A Journal of CPRI, 453-462 , 2016 2016
Improvement of Voltage Profile and Reducing Power System Losses in Transmission System with Multiple TCSC Firing Angle Control Model with Dragonfly Algorithm AH Sekhar, AL Devi IOSR J. Electr. Electron. Eng 11, 10-21 , 2016 2016 Citations: 1
Analysis of multi tcsc placement in transmission system by using firing angle control model with heuristic algorithms AH Sekhar, AL Devi ARPN Journal of Engineering and Applied Sciences 11 (21), 12743-12755 , 2016 2016 Citations: 2
Control of a Transformer less High Step-Up DC–DC Converter by using Cascade Cockcroft–Walton Voltage Multiplier C PRATAP, J NAGARAJU, AH SEKHAR 2015
A novel approach for hiding data in videos using network steganography methods A Sekhar, M Kumar, MA Rahiman Procedia Computer Science 70, 764-768 , 2015 2015 Citations: 12
MOST CITED SCHOLAR PUBLICATIONS
Voltage profile improvement and power system losses reduction with multi TCSC placement in transmission system by using firing angle control model with heuristic algorithms AH Sekhar, AL Devi 2016 International Conference on Signal Processing, Communication, Power and … , 2016 2016 Citations: 14
A novel approach for hiding data in videos using network steganography methods A Sekhar, M Kumar, MA Rahiman Procedia Computer Science 70, 764-768 , 2015 2015 Citations: 12
Grid connected improved sepic converter with intelligent mppt strategy for energy storage system in railway applications S Vendoti, AH Sekhar, AV Bharadwaja, BN Kommula, R Sateesh, ... Scientific Reports 15 (1), 13192 , 2025 2025 Citations: 11
Novel hybrid optimization techniques for analyzing the performance of transmission lines using SVC device DAH Sekhar, A Haritha, A Vandana, PC Teja International Journal of Electrical Engineering & Technology 11 (1), 1-14 , 2020 2020 Citations: 11
Fuzzy based intelligent control strategy to mitigate power quality issues in an interconnected PV system S Farook, AH Sekhar, KBNK Reddy, NMG Kumar, S Deepa 2023 3rd International Conference on Advance Computing and Innovative … , 2023 2023 Citations: 9
A fuzzy logic-based control strategy for power balance and enhance power quality in a grid-tied PV system S Farook, MK Kumar, AH Sekhar, KBNK Reddy 2023 3rd International Conference on Intelligent Technologies (CONIT), 1-5 , 2023 2023 Citations: 7
Hybrid optimization algorithms for analyzing the performance of transmission system incorporating advanced SVC model AH Sekhar, AL Devi 2017 International Conference on Innovations in Electrical, Electronics … , 2017 2017 Citations: 6
OPTIMAL SIZING AND PLACEMENT OF ADVANCED SVC IN TRANSMISSION SYSTEM BY USING EVOLUTIONARY ALGORITHMS. A SEKHAR, AL Devi i-Manager's Journal on Electrical Engineering 10 (3) , 2017 2017 Citations: 4
Firing Angle SVC Model for Analyzing the Performance of Transmission Network using Newton Raphson Load Flow AH Sekhar, DAL Devi International Journal of Electrical Engineering & Technology 7 (5) , 2016 2016 Citations: 2
Analysis of multi tcsc placement in transmission system by using firing angle control model with heuristic algorithms AH Sekhar, AL Devi ARPN Journal of Engineering and Applied Sciences 11 (21), 12743-12755 , 2016 2016 Citations: 2
A Study on Network Steganography Methods A Sekhar, MG Kumar, MA Rahiman International Journal on Recent and Innovation Trends in Computing and … , 2015 2015 Citations: 2
Power Quality Improvements in a Zeta Converter for Brushless DC Motor Drives P Hemachandu, N Kusuma, AH Sekhar, PD Sindhuja, NR Teja, M Sharan, ... 2024 IEEE International Conference on Intelligent Systems, Smart and Green … , 2024 2024 Citations: 1
A 3-Ф grid connected wind system with a technique of DC link control using fewer sensors with fuzzy controller D Naveen Kilari, AH Sekhar, NS Reddy, NP Dharani International Journal of Intelligent Unmanned Systems 11 (1), 118-131 , 2023 2023 Citations: 1
Improvement of Voltage Profile and Reducing Power System Losses in Transmission System with Multiple TCSC Firing Angle Control Model with Dragonfly Algorithm AH Sekhar, AL Devi IOSR J. Electr. Electron. Eng 11, 10-21 , 2016 2016 Citations: 1
A New Filtering Method and a Novel Converter Transformer for HVDC System. AH Sekhar, AL Devi International Journal of Conceptions on Electrical & Electronics Engineering … , 2013 2013 Citations: 1
Sliding Window Based Demand Forecasting Using a Transformer Deep Learning Technique AH Sekhar, R Aravindh, D Kesavan, P Vivek, S Amosedinakaran, PB Rao 2026 International Conference on Recent Advances in Electrical, Electronics … , 2026 2026
Novel Hybrid Optimization Techniques for Analyzing the Performance of Transmission Lines Using SVC Device DAH Sekhar, A Haritha, A Vandana, PC Teja International Journal of Electrical Engineering & Technology 11 (1), 2020 , 2019 2019
IMPLEMENTATION OF ADVANCED STATIC VAR COMPENSATOR (SVC) MODEL FOR MINIMIZING THE TRANSMISSION LOSSES AND IMPROVING THE VOLTAGE PROFILE USING NON-CONVENTIONAL ALGORITHMS AH SEKHAR, AL DEVI Journal of Electrical Engineering 17 (4), 12-12 , 2017 2017
IMPLEMENTATION OF UNIFIED POWER FLOW CONTROLLER (UPFC) FOR IMPROVEMENT OF VOLTAGE PROFILE AND MINIMIZATION OF TRANSMISSION LOSSES BY CONVENTIONAL METHOD AH Sekhar, AL Devi International Journal of Advances in Engineering & Technology 9 (6), 663 , 2016 2016
PERFORMANCE IMPROVEMENT OF TRANSMISSION SYSTEM USING TCSC WITH FIRING ANGLE CONTROL. A SEKHAR, AL DEVI Journal of Theoretical & Applied Information Technology 91 (1) , 2016 2016
