G.GIFTSON SAMUEL

@aitech.org.in

Professor and Electrical and Electronics Engineering
Arifa Institute of Technology, Nagapattinam

G.GIFTSON SAMUEL


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https://researchid.co/ggiftson

EDUCATION

Sl.
No. Examination Passed Name of the
University/ College Year of Passing Specialization Division / Class

1 Ph. D Anna University, Chennai 2014 Power System
-
2 M.E Anna University, Chennai / Karunya Institute of Technology, Coimbatore. 2004
Power Electronics & Drives
First Class
3 BE Madurai Kamaraj University / Mepco Schlenk Engineering College, Sivakasi. 1999 Electrical and Electronics Engineering
First Class
4 DEEE DOTE, TN / Valivalam Desikar Polytechnic, Nagapattinam 1996 Electrical and Electronics Engineering First Class with Honours

RESEARCH, TEACHING, or OTHER INTERESTS

Artificial Intelligence, Renewable Energy, Sustainability and the Environment, Energy Engineering and Power Technology, Electrical and Electronic Engineering
23

Scopus Publications

305

Scholar Citations

9

Scholar h-index

8

Scholar i10-index

Scopus Publications

  • Development and implementation of a model predictive control system for a solar parabolic trough plant influenced by an advanced meteorological disturbance model
    K. Kalanithi, G. Giftson Samuel, M. Malathi, R.Venkatesan
    Scientific Reports, 2025
    Renewable energy is critical to conserve resources and provide a secure environment for generations to come, and the most common and abundant of these is solar energy. India hopes to reach 500 gigawatts of non-fossil fuel power by this decade, and solar systems are likely to contribute prominently to this goal. Solar based generation is clean, pollution free, and important for national energy security, while solar thermal collectors form the core of such systems. A widely used concentrating solar power technology is the parabolic trough collector, which shows nonlinear behaviour and is disturbed by changes in input energy, requiring advanced control methods. A weather disturbance model was developed in this study using local data from Tamil Nadu, India, and evaluated under three control schemes: Predictive functional control, proportional-integral-derivative, and model predictive control. The findings indicate that model predictive control regulates outlet temperature more effectively, limiting peak overshoot to 6.67% with a settling time of 3600 s. In contrast, predictive functional control recorded 25% overshoot, while proportional-integral-derivative control showed 43.33% overshoot. The state-space-based weather disturbance model also provided closer tracking of set values compared with the other approaches. Predictive functional control produced a quicker transient response but with significant overshoot, the proportional-integral-derivative scheme delayed in reaching the target, while model predictive control maintained steady and consistent stability. All controllers had a delay of about 30 to 60 s, but model predictive control provided the best overall balance of disturbance rejection, settling time, and tracking accuracy.
  • Adaptive Model Predictive Control for Solar Thermal Systems Under Dynamic Conditions
    K. Kalanithi, G. Giftson Samuel, M. Malathi, R. Gandhi Raj
    Iranian Journal of Science and Technology Transactions of Electrical Engineering, 2025
  • Energy management in hybrid photovoltaic–wind system using optimized neural network
    M. Saranya, G. Giftson Samuel
    Electrical Engineering, 2024
  • Hybrid SFLA-ANN Method for Effective Power Management of Hybrid Power Sources in a Variety of Weather Scenarios
    A. K. SURESH, G. Giftson SAMUEL
    Studies in Informatics and Control, 2024
  • CGFSSO: the co-operative guidance factor based Salp Swarm Optimization algorithm for MPPT under partial shading conditions in photovoltaic systems
    S. Antony Raj, E. Elakkiya, Shathanaa Rajmohan, G. Giftson Samuel
    International Journal of Information Technology Singapore, 2024
  • Hybrid Renewable Energy Systems with Smart Power Management - A Comparative Study
    M. Saranya, G. Giftson Samuel
    Proceedings of the International Conference on Circuit Power and Computing Technologies Iccpct 2023, 2023
    About 1.5 million publics in the world do not have access to electricity and getting them access to it, has become the most pressing issue. Due to power shortages, the electrical supply faces instability and the households integrated with the grids, encounters frequent power outages. This is because of the insufficient power generation, which is brought on by fluctuating voltage levels and antiquated transmission cables. Therefore, it is mandatory to identify a decentralized source of energy, for providing uninterruptable power supply. In developing countries, there is a great demand towards Renewable Energy Sources (RES) like wind, solar, biogas, etc. The formation of Hybrid renewable energy systems (HRES) develops a realistic, as well as appealing approach for resolving the energy demands. These cost effective resources have only a minor impact on non-conventional energies. Therefore, the utilization of RES, provides better economic growth and efficient power management. Besides, Microgrid (MG) is an embedded network, which incorporates RES along with different loads and it assists in energy management. The MGs, to achieve optimum functionality, necessitates energy efficient storage units. The RES utilized in MGs, aids in providing energy stability and in case of excess energy production, it is stored in the storage units. The HRES incorporates a variety of EMS (Energy Management Systems) to maintain stability and energy management. In this paper, the techniques and algorithms that assists in energy management are evidently discussed. The goal of this paper is to examine the manner in which model interpretability is increased by reviewing prior studies that used interpretable machine learning approaches for energy management. Moreover, a comparative analysis is carried out between the different techniques, in order to observe the best optimal energy managing technique.
  • Design and simulation of hybrid power systems with battery integrated to main grid
    T. Porselvi, V. Karthikeyan, Gangadharayya F. Salimath, G. Giftson Samuel
    Aip Conference Proceedings, 2022
    This paper provides hybrid solar and wind systems integrated with battery. Solar and wind are more suitable combinations in renewable energy because eco-friendly and natural abundance is high, a geographical location globally. Hybrid system integrated with bidirectional DC-DC (BDC) converter, 3–∅–inverter and LC filter. Mostly, polycrystalline panels are used for industries and residential areas because of constant output towards the partial shading effect that the voltage and current based under a standard condition of Solar Irradiance 1000W/m2 and Temperature 25°C. However, this proposed system improved reliability; reduce voltage fluctuations due to various irradiations and wind speed combined with the main grid. The battery with a DC-DC converter is incorporated to the main power system by a 3–∅–inverter and also the battery is used to store the energy in normal condition and deliver the energy when not available of the sources.That is compared withstand along with systems. Finally, the simulations of the separated hybrid power systems with BDC, 3–∅–inverter, and LC filter were validated in Matlab/Simulink.
  • BOSS-D-RBFN: BOosted Salp Swarm optimization based Deep RBFN for MPPT under partial shading condition in photovoltaic systems
    Antony Raj S., Giftson Samuel G.
    Optik, 2022
  • Survey of AI based MPPT algorithms in PV systems
    S Antony Raj, G Giftson Samuel
    Proceedings 4th International Conference on Smart Systems and Inventive Technology Icssit 2022, 2022
    The monitoring of Maximum Power Point (MPP) is a successful method for improving Photo Voltaic (PV) power extraction under different types of weather conditions. The power versus voltage curve shows multiple peaks as the PV module receives the different irradiances during the partial shading condition. In these situations, the Maximum Power Point Tracking (MPPT) capability to monitor the PV array's global MPP directly impacts system performance. Different approaches to MPPT were proposed in the literature. Among all, MPPT techniques based on Artificial Intelligence (AI) algorithms have established the potential to locate the MPP on a large scale. This work contributes a thorough and in-depth review of MPPT strategies based on AI. According to its application strategy, each method is categorized into one of several subcategories. The different techniques for incorporating AI into MPPTs are thoroughly examined with the thorough analysis of their merits and demerits. This study creates a set of MPPT techniques based on AI so that users can realize and choose the best approach for their needs and system constraints.
  • Designing the Modern Dual-Engine Two-Speed Smart Hybrid Electric Drive Powertrain
    Balachandra Pattanaik, Mukil Alagirisamy, V. Karthikeyan, Ramesh Babu Nallamothu, G. Giftson Samuel
    International Journal of Photoenergy, 2022
    While potential for battery-powered electric vehicles (BEVs) is increasing as the need to minimise greenhouse gas pollution and the utilization of energy production, the restricted driving range and the uninviting market price constitute BEV obstacles to reliable assessment as a conventional car. This paper suggests a double-motor multispeed direct-drive BEV drivetrain to improve average engine running performance in everyday travelling whilst raising any production or control sophistication, effectively saving minimal battery resources and production costs. The characteristics of the proposed drivetrain are first defined through quantitative and visual measurements, which divide the conventional one-engine propulsion to two with different permanent gears to optimise engine performance. Centred on dynamic powertrain modelling in Simulink, the economic change strategy and circulatory system consisting transfer control were planned and checked. Based on the simulation performance, it is stated that substantial increases in energy quality can be accomplished. Thanks to the optimised torque transfer control technique, the vehicle’s incredibly low pull is registered during the shifting phase. Finally, it can be inferred that the suggested dual-motor drivetrain is better than the conventional single-motor equivalent in terms of fuel efficiency, driving range, and expense. There is substantial increase in total machine running areas of affordable to solitary machine performance and megacity driving ages, similar to WLTC, FTP-75, and JP 10-15, with 5 to 8 percentage performance enhancement being achieved.
  • Energy Storage System with Dynamic Voltage Restorer Integrated for Wind Energy System
    Balachandra Pattanaik, Syed Masood Hussain, V Karthikeyan, G Giftson Samuel
    Journal of Physics Conference Series, 2021
  • Grid Connected Bidirectional Converter Based Ems System with Model Predictive Control
    V Karthikeyan, T Porselvi, Gangadharayya F Salimath, G Giftson Samuel
    Journal of Physics Conference Series, 2021
  • Improved Prediction of Wind Speed Using Machine Learning
    G Giftson Samuel, Gangadharayya F Salimath, T Porselvi, V Karthikeyan
    Journal of Physics Conference Series, 2021
  • Optimal Energy Scheduling of Renewable Energy Sources in Smart Grid using Cuckoo Optimization Algorithm with Enhanced Local Search
    S Antonyraj, G Giftson Samuel
    Iop Conference Series Earth and Environmental Science, 2019
  • Hybrid particle swarm optimization: With evolutionary programming and shuffled frog leaping algorithm for long-term generation maintenance scheduling to enhance the grid reliability
    Journal of Electrical Engineering, 2016
  • Hybrid: Particle Swarm Optimization-Genetic Algorithm and Particle Swarm Optimization-Shuffled Frog Leaping Algorithm for long-term generator maintenance scheduling
    G. Giftson Samuel, C. Christober Asir Rajan
    International Journal of Electrical Power and Energy Systems, 2015
  • Hybrid particle swarm optimization - Genetic algorithm and particle swarm optimization - Evolutionary programming for long-term generation maintenance scheduling
    G. Giftson Samuel, C. Christober Asir Rajan
    Proceedings 2013 International Conference on Renewable Energy and Sustainable Energy Icrese 2013, 2014
  • A modified shuffled frog leaping algorithm for long-term generation maintenance scheduling
    G. Giftson Samuel, C. Christober Asir Rajan
    Advances in Intelligent Systems and Computing, 2014
  • Optimum long - Term generation maintenance scheduling to enhance the grid reliability using particle swarm optimization
    International Review on Modelling and Simulations, 2013
  • A modified genetic approach to long-term generation maintenance scheduling to enhance the reliability of the units
    IEEE International Conference on Advances in Engineering Science and Management Icaesm 2012, 2012
  • Message from organizing secretaries
    IEEE International Conference on Advances in Engineering Science and Management Icaesm 2012, 2012
  • Recent trends in renewable energy resources hydrogen fuel cell
    IEEE International Conference on Advances in Engineering Science and Management Icaesm 2012, 2012
  • Power electronics genesis, trends and improvement
    IEEE International Conference on Advances in Engineering Science and Management Icaesm 2012, 2012

RECENT SCHOLAR PUBLICATIONS

  • Adaptive Model Predictive Control for Solar Thermal Systems Under Dynamic Conditions
    K Kalanithi, GG Samuel, M Malathi, RG Raj
    Iranian Journal of Science and Technology, Transactions of Electrical … , 2025
    2025
    Citations: 1
  • Development and implementation of a model predictive control system for a solar parabolic trough plant influenced by an advanced meteorological disturbance model
    K Kalanithi, GG Samuel, M Malathi, R Venkatesan
    Scientific Reports 15 (1), 36650 , 2025
    2025
  • Energy management in hybrid photovoltaic–wind system using optimized neural network
    M Saranya, GG Samuel
    Electrical engineering 106 (1), 475-492 , 2024
    2024
    Citations: 24
  • Hybrid SFLA-ANN Method for Effective Power Management of Hybrid Power Sources in a Variety of Weather Scenarios
    GGS A. K. SURESH
    Studies in Informatics and Control 33 (2), 27-38 , 2024
    2024
    Citations: 1
  • CGFSSO: the co-operative guidance factor based Salp Swarm Optimization algorithm for MPPT under partial shading conditions in photovoltaic systems
    SA Raj, E Elakkiya, S Rajmohan, GG Samuel
    International Journal of Information Technology 1 (1), 1 - 16 , 2024
    2024
    Citations: 5
  • Improved clamped z-source converter with optimized maximum power point tracker for hybrid renewable energy systems based energy management system
    M Saranya, SG Giftson
    Проблемы региональной энергетики, 50-65 , 2024
    2024
    Citations: 1
  • Optimal power control in Renewable Energy sources using Intelligence algorithm
    S Sakthivel
    Heliyon 9 (9) , 2023
    2023
    Citations: 9
  • Hybrid Renewable Energy Systems with Smart Power Management–A Comparative Study
    M Saranya, GG Samuel
    2023 International Conference on Circuit Power and Computing Technologies … , 2023
    2023
    Citations: 3
  • Design and simulation of hybrid power systems with battery integrated to main grid
    T Porselvi, V Karthikeyan, GF Salimath, GG Samuel
    AIP Conference Proceedings 2519 (1), 050010 , 2022
    2022
    Citations: 1
  • BOSS-D-RBFN: BOosted Salp Swarm optimization based Deep RBFN for MPPT under partial shading condition in photovoltaic systems
    S Antony Raj, G Giftson Samuel
    Optik 259, 168876 , 2022
    2022
    Citations: 11
  • Survey of AI based MPPT algorithms in PV systems
    SA Raj, GG Samuel
    2022 4th international conference on smart systems and inventive technology … , 2022
    2022
    Citations: 21
  • Research Article Designing the Modern Dual-Engine Two-Speed Smart Hybrid Electric Drive Powertrain
    B Pattanaik, M Alagirisamy, V Karthikeyan, RB Nallamothu, GG Samuel
    2022
  • Designing the Modern Dual‐Engine Two‐Speed Smart Hybrid Electric Drive Powertrain
    B Pattanaik, M Alagirisamy, V Karthikeyan, RB Nallamothu, GG Samuel
    International Journal of Photoenergy 2022 (1), 3053953 , 2022
    2022
    Citations: 3
  • Energy storage system with dynamic voltage restorer integrated for wind energy system
    B Pattanaik, SM Hussain, V Karthikeyan, G Giftson Samuel
    Journal of Physics: Conference Series 1964 (4), 042098 , 2021
    2021
    Citations: 14
  • Grid Connected Bidirectional Converter Based Ems System with Model Predictive Control
    V Karthikeyan, T Porselvi, GF Salimath, G Giftson Samuel
    Journal of Physics: Conference Series 1964 (5), 052013 , 2021
    2021
    Citations: 3
  • Improved prediction of wind speed using machine learning
    G Giftson Samuel, GF Salimath, T Porselvi, V Karthikeyan
    Journal of Physics: Conference Series 1964 (5), 052005 , 2021
    2021
    Citations: 8
  • MPPT with Single DC-DC Converter and Inverter for Grid Connected Hybrid Wind-Driven PMSG-PV System Using GA Algorithm
    V Karthikeyan
    Renewable Energy with IoT and Biomedical Applications 1, 41 , 2021
    2021
    Citations: 2
  • Optimal energy scheduling of renewable energy sources in smart grid using cuckoo optimization algorithm with enhanced local search
    S Antonyraj, G Giftson Samuel
    IOP Conference Series: Earth and Environmental Science 312 (1), 012014 , 2019
    2019
    Citations: 5
  • Control of a stand-alone photovoltaic/battery bank system to supply energy to resistance load
    CCAR G. Giftson Samuel, M. Muthuramalingam, P. S. Manoharan
    International Journal of Applied Power Engineering (IJAPE) 8 (1), 93-100 , 2019
    2019
    Citations: 2
  • Analysis of novel ANFIS based MPPT algorithm under partially shaded photovoltaic system [articol]
    GG Samuel, M Muthuramalingam, PS Manoharan, CC Asir Rajan
    Timișoara: Editura Politehnica , 2018
    2018

MOST CITED SCHOLAR PUBLICATIONS

  • Hybrid: particle swarm optimization–genetic algorithm and particle swarm optimization–shuffled frog leaping algorithm for long-term generator maintenance scheduling
    GG Samuel, CCA Rajan
    International Journal of Electrical Power & Energy Systems 65, 432-442 , 2015
    2015
    Citations: 110
  • A modified shuffled frog leaping algorithm for long-term generation maintenance scheduling
    GG Samuel, CCA Rajan
    Proceedings of the Third International Conference on Soft Computing for … , 2014
    2014
    Citations: 37
  • Energy management in hybrid photovoltaic–wind system using optimized neural network
    M Saranya, GG Samuel
    Electrical engineering 106 (1), 475-492 , 2024
    2024
    Citations: 24
  • Survey of AI based MPPT algorithms in PV systems
    SA Raj, GG Samuel
    2022 4th international conference on smart systems and inventive technology … , 2022
    2022
    Citations: 21
  • Hybrid Particle Swarm Optimization—Genetic algorithm and Particle Swarm Optimization—Evolutionary programming for long-term generation maintenance scheduling
    GG Samuel, CCA Rajan
    2013 International Conference on Renewable Energy and Sustainable Energy … , 2013
    2013
    Citations: 16
  • Energy storage system with dynamic voltage restorer integrated for wind energy system
    B Pattanaik, SM Hussain, V Karthikeyan, G Giftson Samuel
    Journal of Physics: Conference Series 1964 (4), 042098 , 2021
    2021
    Citations: 14
  • A modified genetic approach to long-term generation maintenance scheduling to enhance the reliability of the units
    GG Samuel, CCA Rajan
    IEEE-international conference on advances in engineering, science and … , 2012
    2012
    Citations: 13
  • BOSS-D-RBFN: BOosted Salp Swarm optimization based Deep RBFN for MPPT under partial shading condition in photovoltaic systems
    S Antony Raj, G Giftson Samuel
    Optik 259, 168876 , 2022
    2022
    Citations: 11
  • Optimal power control in Renewable Energy sources using Intelligence algorithm
    S Sakthivel
    Heliyon 9 (9) , 2023
    2023
    Citations: 9
  • Improved prediction of wind speed using machine learning
    G Giftson Samuel, GF Salimath, T Porselvi, V Karthikeyan
    Journal of Physics: Conference Series 1964 (5), 052005 , 2021
    2021
    Citations: 8
  • Hybrid particle swarm optimization: Evolutionary programming approach for solving generation maintenance scheduling problem
    GG Samuel, CCA Rajan
    Scientific Research and Essays 8 (35), 1701-1713 , 2013
    2013
    Citations: 6
  • CGFSSO: the co-operative guidance factor based Salp Swarm Optimization algorithm for MPPT under partial shading conditions in photovoltaic systems
    SA Raj, E Elakkiya, S Rajmohan, GG Samuel
    International Journal of Information Technology 1 (1), 1 - 16 , 2024
    2024
    Citations: 5
  • Optimal energy scheduling of renewable energy sources in smart grid using cuckoo optimization algorithm with enhanced local search
    S Antonyraj, G Giftson Samuel
    IOP Conference Series: Earth and Environmental Science 312 (1), 012014 , 2019
    2019
    Citations: 5
  • A Novel Intelligent Controller for Soft Starting Scheme in Three Phase Induction Motor
    CCAR M.Muthuramalingam, G. Giftson Samuel
    Journal of Engineering Technological Research 8 (Half Yearly), 371-377 , 2017
    2017
    Citations: 4
  • Recent trends in renewable energy resources Hydrogen fuel cell
    KK Saravanan, N Stalin, S Rajalakshmi, GG Samuel
    IEEE-International Conference On Advances In Engineering, Science And … , 2012
    2012
    Citations: 4
  • Hybrid Renewable Energy Systems with Smart Power Management–A Comparative Study
    M Saranya, GG Samuel
    2023 International Conference on Circuit Power and Computing Technologies … , 2023
    2023
    Citations: 3
  • Designing the Modern Dual‐Engine Two‐Speed Smart Hybrid Electric Drive Powertrain
    B Pattanaik, M Alagirisamy, V Karthikeyan, RB Nallamothu, GG Samuel
    International Journal of Photoenergy 2022 (1), 3053953 , 2022
    2022
    Citations: 3
  • Grid Connected Bidirectional Converter Based Ems System with Model Predictive Control
    V Karthikeyan, T Porselvi, GF Salimath, G Giftson Samuel
    Journal of Physics: Conference Series 1964 (5), 052013 , 2021
    2021
    Citations: 3
  • MPPT with Single DC-DC Converter and Inverter for Grid Connected Hybrid Wind-Driven PMSG-PV System Using GA Algorithm
    V Karthikeyan
    Renewable Energy with IoT and Biomedical Applications 1, 41 , 2021
    2021
    Citations: 2
  • Control of a stand-alone photovoltaic/battery bank system to supply energy to resistance load
    CCAR G. Giftson Samuel, M. Muthuramalingam, P. S. Manoharan
    International Journal of Applied Power Engineering (IJAPE) 8 (1), 93-100 , 2019
    2019
    Citations: 2