GANESH MOORTHY J

@google.com

Assistant Professor/Electrical and Electronics Engineering
NIT calicut

GANESH MOORTHY J


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https://researchid.co/jganeshmoorthy

EDUCATION

Degree and Dept. Institute Year of passing CGPA/
Percentage
Ph.D. (Full Time)
Electrical and Electronics NIT Tiruchirappalli, 2022 8.7

M.E
Solar Energy CEG Campus, Anna University, Chennai,
2013
8.09
B.E
Electrical and Electronics Saranathan College of Engg. Tiruchirappalli
2010
70.41

HSC ST. Antony’s HSS, Konnaikudi 2006 72.16

SSLC ST. Antony’s HSS, Konnaikudi 2004 85.80

RESEARCH, TEACHING, or OTHER INTERESTS

Electrical and Electronic Engineering
9

Scopus Publications

66

Scholar Citations

3

Scholar h-index

2

Scholar i10-index

Scopus Publications

  • Sustainable Grid-Compliant Rooftop PV Curtailment via LQR-Based Active Power Regulation and QPSO–RL MPPT in a Three-Switch Micro-Inverter
    Ganesh Moorthy Jagadeesan, Kanagaraj Nallaiyagounder, Vijayakumar Madhaiyan, Qutubuddin Mohammed
    Sustainability Switzerland, 2026
    The increasing penetration of rooftop photovoltaic (RTPV) systems in low-voltage (LV) distribution networks introduces challenges such as voltage rises, reverse power flow, and reduced hosting capacity, thereby necessitating effective active power regulation (APR) in module-level micro-inverters. This paper proposes a dual-layer control framework for a 250 watt-peak (Wp) three-switch rooftop PV micro-inverter, integrating quantum-behaved particle swarm optimization with reinforcement learning (QPSO-RL) for accurate maximum power point tracking (MPPT) and a linear quadratic regulator (LQR) for reserve-aware APR. The QPSO-RL algorithm improves available-power estimation under varying irradiance, temperature, and partial-shading conditions, while the LQR-based controller ensures fast, well-damped, and grid-compliant power regulation. The proposed framework was developed and validated using MATLAB/Simulink 2024 for simulation studies and LabVIEW with NI myRIO 2022 for real-time hardware implementation. Both simulation and experimental results confirm that the proposed method achieves 99.5% MPPT accuracy, convergence within 20 ms, grid-injected current total harmonic distortion (THD) below 3%, and a near-unity power factor. In addition, the reserve-based regulation strategy improves feeder compliance and reduces converter stress, thereby supporting reliable rooftop PV integration. These results demonstrate that the proposed QPSO-RL + LQR framework offers a practical and intelligent solution for high-performance, grid-supportive rooftop PV micro-inverter applications.
  • Enhanced maximum power point estimation algorithm using quantum particle swarm optimization for solar photovoltaic micro inverter systems
    Ganesh Moorthy Jagadeesan, Arivoli Sundaramurthy, M. Vijayakumar, Birhanu Belete
    Energy Reports, 2025
    Photovoltaic systems are increasingly integrated into distributed energy networks, demanding compact and efficient inverter solutions that can maintain stable operation under variable environmental conditions. To address this, a single-stage micro-inverter architecture is developed using a quantum-behaved particle swarm optimization algorithm for enhanced maximum power point tracking. The motivation lies in improving the convergence speed and tracking accuracy over conventional methods while minimizing system complexity. The hypothesis is that embedding a probabilistic optimization algorithm within the control loop can improve adaptability to irradiance fluctuations and achieve better regulatory compliance. The proposed design employs a flyback converter topology that combines voltage step-up, galvanic isolation, and direct current to alternating current inversion into a unified platform. The control strategy integrates a quantum-behaved particle swarm optimization-based maximum power point estimation mechanism and a proportional-integral controller, both validated through simulation and real-time hardware testing using a programmable controller and solar simulator. The quantitative results show the system achieves maximum power tracking efficiency of 95–98 percent, with voltage and current total harmonic distortion levels of 3.6 percent and 4.9 percent, respectively, meeting grid compliance requirements. The proposed solution ensures system stability with a phase margin of 58.7 degrees and responds well under dynamically varying irradiance conditions. This work demonstrates that integrating intelligent control with a compact flyback-based architecture results in a reliable, efficient, and grid-compliant solar micro-inverter suitable for low-power residential and standalone solar applications.
  • AI-Based Energy Optimization and Control of Solar-Assisted Autonomous EVs for Decentralized Smart Waste Management
    Ganesh Moorthy J, Lakshmi K, Manikandan P, Praveen Kumar M, Janarthanan S, Karthic Sibi Raj A R
    National Power Electronics Conference Npec 2025, 2025
    Plastic waste accumulation in urban areas has emerged as a major environmental challenge, demanding sustainable, autonomous, and energy-efficient cleaning solutions. This paper presents the first integrated solar-powered autonomous sweeper that combines renewable energy harvesting, dual-controller embedded control, and cloud-assisted decision-making in a decentralized architecture for intelligent plastic waste collection. Unlike existing sweepers, the proposed system employs a hybrid edge cloud CNN verification loop to activate suction only upon confirmed plastic detection, significantly reducing idle power consumption. A compact solar PV module, buck-boost converter, and BMS-regulated battery ensure emission-free, uninterrupted operation, while the dual ESP32-based control framework separates vision and actuation tasks for enhanced modularity and responsiveness. Experimental validation demonstrates stable energy delivery, a 27% reduction in energy use compared to conventional designs, and 92.4% detection accuracy under real-world conditions. The system achieves an estimated carbon reduction of 28.94 tons/year and directly supports SDG 7, SDG 11, and SDG 13, establishing a scalable and low-cost pathway for nextgeneration smart city waste management.
  • Implementation of a Deep Learning-based MPPT System for Maximizing Energy Extraction in Solar PV Modules
    S. Senthil Kumar, Ganesh Moorthy J, Sri Senthilkumar S, Jayan V, Deepak Kumar B, Mounish R
    Proceedings of the International Conference on Intelligent Computing and Control Systems Iciccs 2025, 2025
    In this paper, we propose a novel AI-based Maximum Power Point Tracking (MPPT) system for solar PV modules, leveraging a hybrid Transformer + LightGBM model. The system addresses the limitations of traditional MPPT methods such as Perturb and Observe (P&O) and Incremental Conductance, which struggle with slow response times and reduced accuracy under dynamic environmental conditions. By utilizing the sequential learning capabilities of Transformers and the computational efficiency of LightGBM, the proposed system ensures rapid, precise, and robust MPPT. The hybrid model trained and tested on diverse solar PV datasets, achieving an energy extraction efficiency of 98.7%, a significant improvement over traditional methods such as P&O (92.5%) and Incremental Conductance (94.3%). The system demonstrated an average response time of 45ms, outperforming conventional approaches. Additionally, the model effectively minimized voltage oscillations during rapid irradiance changes, reducing instability by over 80% compared to traditional methods. Field tests confirmed the system’s scalability and real-time adaptability, showing consistent performance across varying environmental conditions. These results highlight the transformative potential of AI-based MPPT in maximizing solar PV energy output.
  • Active power regulation in low voltage grid-tied inverters for rooftop solar PV systems: Progress and future directions
    Ganesh Moorthy J, Jerome Moses M, Kalaiselvan N
    Energy Sources Part A Recovery Utilization and Environmental Effects, 2024
    The current global expansion of rooftop solar photovoltaic systems, exceeding 130 GW in the residential sector, is primarily driven by worldwide energy demands and government initiatives. Typically, grid-tied inverters used in rooftop systems are integrated into the secondary distribution network of the power system. The intermittent nature of solar energy leads to variations in solar photovoltaic power generation, resulting in potential fluctuations in grid frequency and voltage. Under specific conditions such as peak power generation periods and light-load scenarios, rooftop systems can cause grid voltage variations (Deviations from IEEE 929, IEEE1547 Rule21) in low-voltage grid environments. This review article aims to assist emerging researchers and industry professionals in understanding the current trends in Active Power Regulation (APR) for Low Voltage Grid-Tied Inverters (LV-GTIs). The review highlights the need for APR, the selection of appropriate configurations and topologies, and emphasizes the key technical requirements for LV-GTIs to ensure accuracy, high dynamic response, and stability at reduced power levels. This review is the first of its kind, addressing the challenges and potential solutions related to APR in LV-GTIs for rooftop solar photovoltaic applications.
  • Simplified Active Power Regulation Scheme for Grid Connected Solar Photovoltaic based Micro-Inverter
    Ganesh Moorthy Jagadeesan, Raja Pitchaimuthu, Moorthi Sridharan, Venkata Kirthiga Murali
    Energy Sources Part A Recovery Utilization and Environmental Effects, 2024
    A simplified active power regulation (APR) scheme for a single-stage grid-connected micro-inverter with pulsating power decoupling capability has been proposed and tested in this work. The versatility of the active power regulation control method makes it to contribute an analytical solution based on maximum power point (MPP) estimation and operate at the right-hand side (RHS) of the PV characteristics while giving reserve fraction. The injection of power to the grid with the help of an APR scheme can be witnessed using the reserve fraction. A test setup with 250 Wp solar panel feeding power to a 230 V, 50 Hz single-phase grid through a single-stage grid-connected micro-inverter has been utilized to test the proposed APR scheme. The entire system has been modeled in MATLAB/ SIMULINK and the same has been implemented and verified by hardware experimentation whose results have been reported with different environmental conditions.
  • A Two-stage Single-phase Grid-connected Solar-PV System with Simplified Power Regulation
    Ganesh Moorthy Jagadeesan, Raja Pitchaimuthu, Moorthi Sridharan
    Chinese Journal of Electrical Engineering, 2022
    This study focuses on the design and development of a simplified active power regulation scheme for a two-stage single-phase grid-connected solar-PV (SPV) system with maximum power point (MPP) estimation. It aims to formulate and test an improvised new control scheme to estimate the real-time MPP of the PV panel and operate only at either the MPP or on the right-hand side (RHS) of the PV characteristics of the panel. A simple active power regulatory control scheme was formulated to provide frequency control services to a single-phase grid without using an energy storage device. The plant operator provides the reserve fraction as the input for the active power regulation controller. At any time, the reserve fraction is used to determine the magnitude of the reference power to be extracted from the PV panel for injection into the grid. A simple PI controller was used to track the calculated reference power. The different modes of operation of the regulatory scheme are presented in detail. All the above control schemes are integrated and implemented through appropriate switching of the DC-DC converter alone. The DC-AC converter maintains the DC link voltage and unity power factor at the single-phase grid terminals. The proposed control schemes were tested on a 250 Wp solar panel feeding power to a 230 V, 50 Hz single-phase grid through a two-stage converter. The entire scheme was modeled using the Matlab/Simulink platform, and the same was validated by hardware experimentation using Chroma Solar Simulator and NI myRIO controller under varied irradiation, temperature, and reserve fractions. The simulation and hardware results are compared and reported.
  • Performance analysis of solar PV based DC optimizer distributed system with simplified MPPT method
    J. Ganesh Moorthy, Sumit Manual, S. Moorthi, P. Raja
    SN Applied Sciences, 2020
  • Design and performance enhancement of small scale solar PV fed PMDC motor based water pumping system using PI controlled FOCV method
    S Harish, S Sarath Sankar, Vasishta Burugula, J Ganesh Moorthy, P. Raja
    Proceedings of 2017 IEEE International Conference on Technological Advancements in Power and Energy Exploring Energy Solutions for an Intelligent Power Grid Tap Energy 2017, 2018
    A solar PV panel is used to derive the maximum available power from the sun's radiation in a given location and to supply it to a water pumping system through a suitable Maximum Power Point Tracking (MPPT) system. A PI Controller based Fractional Open Circuit Voltage is implemented by Ziegler Nichols method to adjust the duty cycle of the DC-DC converter to perform the MPPT. This paper aims to design and validate the performance of a small scale water pumping system without the usage of a current sensor in the control circuit under various solar insolation conditions.

RECENT SCHOLAR PUBLICATIONS

  • Solar Hybrid PVT System Integrated with UAPF for Sustainable and Quality Energy Supply
    M Vijayakumar, K Sathiyasekar, JG Moorthy, M Giridhar, ...
    2026 6th International Conference on Trends in Material Science and … , 2026
    2026
  • Sustainable Grid-Compliant Rooftop PV Curtailment via LQR-Based Active Power Regulation and QPSO–RL MPPT in a Three-Switch Micro-Inverter
    GM Jagadeesan, K Nallaiyagounder, V Madhaiyan, Q Mohammed
    Sustainability 18 (8), 3674 , 2026
    2026
  • AI-Based Energy Optimization and Control of Solar-Assisted Autonomous EVs for Decentralized Smart Waste Management
    G Moorthy J, L K, M P, P Kumar M, J S, KSR A R
    2025 12th National Power Electronics Conference (NPEC), 1-6 , 2025
    2025
  • Enhanced maximum power point estimation algorithm using quantum particle swarm optimization for solar photovoltaic micro inverter systems
    GM Jagadeesan, A Sundaramurthy, M Vijayakumar, B Belete
    Energy Reports 14, 1877-1895 , 2025
    2025
    Citations: 3
  • ASFO-SVM-Based Intelligent Load Prediction for Microgrid Energy Optimization in Renewable Energy Systems
    A Sundaramurthy, GM Jagadeesan, K Ramasamy, C Vaithiyalingam
    Journal of Computational Systems and Applications 2 (3), 29-47 , 2025
    2025
  • Active Thermal Regulation and AI Forecasting for Thin-Film CIGS Panels in High-Temperature Urban Rooftop Applications.
    JG Moorthy, P Arulmozhi, S Saravanan, P Murugesan, S Krishnakumar, ...
    Journal of Mines, Metals & Fuels 73 (10) , 2025
    2025
  • Enhanced Solar Water Pumping Using Bifacial PV Modules with Reflective Augmentation and AI Driven Yield Prediction
    GM Jagadeesan, V Easwaran, N Arumugham, SK Sengottaiyan, ...
    Innovative Energy Systems and Technologies 1 (1), 11-26 , 2025
    2025
    Citations: 1
  • Adaptive Vector Control of VSC-HVDC Systems Using Lightweight Fuzzy Q-Learning
    GM Jagadeesan, V Easwaran
    Advances in Power Systems Research 1 (2), 1-21 , 2025
    2025
  • Implementation of a Deep Learning-based MPPT System for Maximizing Energy Extraction in Solar PV Modules
    SS Kumar, S Senthilkumar, D Kumar
    2025 International Conference on Intelligent Computing and Control Systems … , 2025
    2025
    Citations: 2
  • Active power regulation in low voltage grid-tied inverters for rooftop solar PV systems: Progress and future directions
    JG Moorthy, MJ Moses, N Kalaiselvan
    ENERGY SOURCES PART A-RECOVERY UTILIZATION AND ENVIRONMENTAL EFFECTS 46 (1 … , 2024
    2024
    Citations: 2
  • Simplified active power regulation scheme for grid connected solar photovoltaic based micro-inverter
    GM Jagadeesan, R Pitchaimuthu, M Sridharan, VK Murali
    Energy Sources, Part A: Recovery, Utilization, and Environmental Effects 46 … , 2024
    2024
    Citations: 2
  • Advancements in Cardiovascular Health: Harnessing Quantum Computing and Ensemble Machine Learning for Heart Disease Detection
    A Sundaramurthy, GM Jagadeesan, R PJ, P Sarvalingam, M Arumugam
    Proceedings of the 3rd International Conference on Optimization Techniques … , 2024
    2024
    Citations: 2
  • A two-stage single-phase grid-connected solar-PV system with simplified power regulation
    GM Jagadeesan, R Pitchaimuthu, M Sridharan
    Chinese Journal of Electrical Engineering 8 (1), 81-92 , 2022
    2022
    Citations: 32
  • Performance analysis of solar PV based DC optimizer distributed system with simplified MPPT method
    JG Moorthy, S Manual, S Moorthi, P Raja
    SN Applied Sciences 2 (2), 220 , 2020
    2020
    Citations: 18
  • Parallel operation of Three-port grid-connected micro-inverter with power decoupling capability
    PR Ganesh Moorthy J,Mahima M and
    35th National convention of Electrical Engineers & National conferences on … , 2019
    2019
  • Design and performance enhancement of small scale solar PV fed PMDC motor based water pumping system using PI controlled FOCV method
    S Harish, SS Sankar, V Burugula, JG Moorthy, P Raja
    2017 International Conference on Technological Advancements in Power and … , 2017
    2017
    Citations: 4
  • Performance evaluation of solar water heater using nanofluids
    IS Ganesh Moorthy J
    National conference on Advancements and Recent Innovations in Mechanical … , 2013
    2013

MOST CITED SCHOLAR PUBLICATIONS

  • A two-stage single-phase grid-connected solar-PV system with simplified power regulation
    GM Jagadeesan, R Pitchaimuthu, M Sridharan
    Chinese Journal of Electrical Engineering 8 (1), 81-92 , 2022
    2022
    Citations: 32
  • Performance analysis of solar PV based DC optimizer distributed system with simplified MPPT method
    JG Moorthy, S Manual, S Moorthi, P Raja
    SN Applied Sciences 2 (2), 220 , 2020
    2020
    Citations: 18
  • Design and performance enhancement of small scale solar PV fed PMDC motor based water pumping system using PI controlled FOCV method
    S Harish, SS Sankar, V Burugula, JG Moorthy, P Raja
    2017 International Conference on Technological Advancements in Power and … , 2017
    2017
    Citations: 4
  • Enhanced maximum power point estimation algorithm using quantum particle swarm optimization for solar photovoltaic micro inverter systems
    GM Jagadeesan, A Sundaramurthy, M Vijayakumar, B Belete
    Energy Reports 14, 1877-1895 , 2025
    2025
    Citations: 3
  • Implementation of a Deep Learning-based MPPT System for Maximizing Energy Extraction in Solar PV Modules
    SS Kumar, S Senthilkumar, D Kumar
    2025 International Conference on Intelligent Computing and Control Systems … , 2025
    2025
    Citations: 2
  • Active power regulation in low voltage grid-tied inverters for rooftop solar PV systems: Progress and future directions
    JG Moorthy, MJ Moses, N Kalaiselvan
    ENERGY SOURCES PART A-RECOVERY UTILIZATION AND ENVIRONMENTAL EFFECTS 46 (1 … , 2024
    2024
    Citations: 2
  • Simplified active power regulation scheme for grid connected solar photovoltaic based micro-inverter
    GM Jagadeesan, R Pitchaimuthu, M Sridharan, VK Murali
    Energy Sources, Part A: Recovery, Utilization, and Environmental Effects 46 … , 2024
    2024
    Citations: 2
  • Advancements in Cardiovascular Health: Harnessing Quantum Computing and Ensemble Machine Learning for Heart Disease Detection
    A Sundaramurthy, GM Jagadeesan, R PJ, P Sarvalingam, M Arumugam
    Proceedings of the 3rd International Conference on Optimization Techniques … , 2024
    2024
    Citations: 2
  • Enhanced Solar Water Pumping Using Bifacial PV Modules with Reflective Augmentation and AI Driven Yield Prediction
    GM Jagadeesan, V Easwaran, N Arumugham, SK Sengottaiyan, ...
    Innovative Energy Systems and Technologies 1 (1), 11-26 , 2025
    2025
    Citations: 1
  • Solar Hybrid PVT System Integrated with UAPF for Sustainable and Quality Energy Supply
    M Vijayakumar, K Sathiyasekar, JG Moorthy, M Giridhar, ...
    2026 6th International Conference on Trends in Material Science and … , 2026
    2026
  • Sustainable Grid-Compliant Rooftop PV Curtailment via LQR-Based Active Power Regulation and QPSO–RL MPPT in a Three-Switch Micro-Inverter
    GM Jagadeesan, K Nallaiyagounder, V Madhaiyan, Q Mohammed
    Sustainability 18 (8), 3674 , 2026
    2026
  • AI-Based Energy Optimization and Control of Solar-Assisted Autonomous EVs for Decentralized Smart Waste Management
    G Moorthy J, L K, M P, P Kumar M, J S, KSR A R
    2025 12th National Power Electronics Conference (NPEC), 1-6 , 2025
    2025
  • ASFO-SVM-Based Intelligent Load Prediction for Microgrid Energy Optimization in Renewable Energy Systems
    A Sundaramurthy, GM Jagadeesan, K Ramasamy, C Vaithiyalingam
    Journal of Computational Systems and Applications 2 (3), 29-47 , 2025
    2025
  • Active Thermal Regulation and AI Forecasting for Thin-Film CIGS Panels in High-Temperature Urban Rooftop Applications.
    JG Moorthy, P Arulmozhi, S Saravanan, P Murugesan, S Krishnakumar, ...
    Journal of Mines, Metals & Fuels 73 (10) , 2025
    2025
  • Adaptive Vector Control of VSC-HVDC Systems Using Lightweight Fuzzy Q-Learning
    GM Jagadeesan, V Easwaran
    Advances in Power Systems Research 1 (2), 1-21 , 2025
    2025
  • Parallel operation of Three-port grid-connected micro-inverter with power decoupling capability
    PR Ganesh Moorthy J,Mahima M and
    35th National convention of Electrical Engineers & National conferences on … , 2019
    2019
  • Performance evaluation of solar water heater using nanofluids
    IS Ganesh Moorthy J
    National conference on Advancements and Recent Innovations in Mechanical … , 2013
    2013

Publications

Performance analysis of solar PV based DC optimizer distributed system with simplified MPPT method
JG Moorthy, S Manual, S Moorthi, P Raja
SN Applied Sciences 2 (2), 1-8 7 2020
A Two-stage Single-phase Grid-connected Solar-PV System with Simplified Power Regulation
GM Jagadeesan, R Pitchaimuthu, M Sridharan
Chinese Journal of Electrical Engineering 8 (1), 81-92 3 2022
Design and Performance enhancement of small scale Solar PV fed PMDC motor based water pumping system using PI Controlled FOCV method
S Harish, SS Sankar, V Burugula, JG Moorthy, P Raja
2017 International Conference on Technological Advancements in Power and … 2 2017
Simplified Active Power Regulation Scheme for Grid Connected Solar Photovoltaic based Micro-Inverter
GM Jagadeesan, R Pitchaimuthu, M Sridharan, VK Murali
Energy Sources, Part A: Recovery, Utilization, and Environmental Effects, 1-18

CONSULTANCY

Consultant (Electrical) (Oct 2021 – till date)
National Institute of Technology, Tiruchirappalli, India.

 Working as a Consultant for 2 MWp Roof Top solar PV system installation in NITT Hostels & Admin buildings & Electrical maintenance in charge of Hostel Zone.
 Design & Economic analysis of Solar PV roof top project
 Site survey (Hostel, Admin block)
 Estimation of installed capacity for various Hostels & Admin buildings
 Estimation of electrical load, Daily load curve
 Conducting Tender Committee meeting for Preparation of Tender
 Preparation of Tender Document for 2 MWp RT solar power plant
 Handling and validating the electrical compliances from various Hostel zone and coordinating with electrical maintenance section.

INDUSTRY EXPERIENCE

Project engineer (Jul 2013 - Mar 2014)
Real Integrator Solar Company. Chennai.
 Experience on 1 MW thin film solar power plant in Nazarath green energy ltd at Tuticorin in 2013
 Design and installation of Stand-alone and grid-tied Solar PV systems.