S P Sureshraj

@jjcet.ac.in

Assistant Professor, Department of Electrical and Electronics Engineering
JJ College of Engineering and Technology

S P Sureshraj


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is working as an Assistant Professor (Research) at J.J. College of Engineering and Technology, Tiruchirappalli, Tamil Nadu (India). He received Young Researcher Award from the Institute of Scholars (InSc). He is also recognized as a Reviewer for the Journal of Technology Innovation & Energy, InSc International Journal under the stream: Electrical & Electronics Engineering. Also has experience as Research Scholar at Yuan Ze University (Taiwan) and Industrial Engineer at Sakthi Electricals, SIDCO, Tiruchirappalli. Completed master's degree MS (Research) in Electrical Engineering at Yuan Ze University (Taiwan) with a Ministry of Education (MoE) Government of Taiwan Scholarship and Graduated B.Tech in Electrical and Electronics Engineering with Honors & Gold Medalist at Educational and Research Institute (Deemed to be University), Chennai, Tamil Nadu (India).

EDUCATION

B.Tech., EEE., M.S (Taiwan)

RESEARCH, TEACHING, or OTHER INTERESTS

Energy Engineering and Power Technology, Renewable Energy, Sustainability and the Environment, Electrical and Electronic Engineering, Artificial Intelligence
4

Scopus Publications

25

Scholar Citations

3

Scholar h-index

1

Scholar i10-index

Scopus Publications

  • Energy-Efficient Control Methods in Heterogeneous Wireless Sensor Networks: A Survey
    Purushothaman Ramaiah, Ramakrishnan Narmadha, Sureshraj Se Pa
    Engineering Proceedings, 2023
    Due to the advancement of sensor gadgets and telecommunication technology, wireless sensor networks (WSNs) have drawn a lot of observations in the recent period. Inaccessible terrain, disaster zones, or polluted conditions are typically where they are deployed at random, making battery replacement or recharge challenging or even impossible. Network lifespan is therefore extremely important to a WSN. An abundance of power-effective strategies in a diverse wireless sensor network are surveyed in this paper. We first provide an overview of the fundamental network radio representation and how it may be utilized to analyze different trade-offs between network deployment costs and an energy-efficient clustering approach. We also highlight a few protocols that can be utilized in heterogeneous networks that are energy efficient.
  • Linear Quadratic Gaussian Design in a Grid-Connected and Islanded Microgrid System for Stability Enrichment
    Sureshraj Se Pa, Mohamed Badcha Yakoob, Muthuveerappan Seetharaman, Jenita Daniel Victor, Kasthuri Arumugam, Srimathi Muthukumaran
    Engineering Proceedings, 2023
    This paper proposes a Linear Quadratic Gaussian (LQG) control design for a grid-connected and Islanded mode Microgrid composed of a single-network feeding and forming converter with one local load. The LQG controller was designed for two different Microgrid modes: Grid-connected mode and islanded mode. A separate LQG controller was designed for each mode and a comparative analysis was made. The LQG controller was designed using the State-Space variables determined by linearizing the model. The controller consists of the optimal gain ‘K’, optimal Linear Quadratic Regulator (LQR), and the Kalman Filter. In both Microgrid modes, the LQG eliminates disturbance and noise in the system and makes the system optimally controlled. The Microgrid system also consists of another control system that comprises the subsequent control subsystem, i.e., Alpha–Beta control, Power and Current loop, and Space Vector Modulation. The steady-state response of the Microgrid system, noise, and disturbance present in Grid-connected and islanded modes was rectified by the LQG controller. The design environment used for developing the Microgrid and LQG controller was the MATLAB/Simulink platform. The effective simulations have permitted and determined results that convey the optimal control and stable performance of the proposed system.
  • Energy Management In Hybrid Electric Vehicles
    Sivakumar P, Rathi Devi P, Sundararajan G, Sureshraj Se Pa, Nalini D, Mohamed Badcha Y
    2022 Opju International Technology Conference on Emerging Technologies for Sustainable Development Otcon 2022, 2023
    In general, electric motors that use the energy from the batteries are combined with IC engines to power hybrid electric vehicles. In this study, a pure hybrid electric car with no emissions is explored. Solar PV is coupled with electric motors and energy storage components. Solar energy, which is ubiquitous and abundant in nature, can be a fantastic replacement for traditional resources. The use of this technology will lessen the environmental pollution. Three parameters, including load demand, battery SOC, and solar power, are taken into account while allocating electricity.
  • Machine Learning Gaussian Process Regression based Robust H-Infinity Controller Design for Solar PV System to Achieve High Performance and Guarantee Stability †
    Sureshraj Se Pa, Mohamed Badcha Yakoob, Priya Maruthai, Karthikeyan Singaravelu, Nalini Duraisamy, Rathi Devi Palaniappan, John Britto Pithai
    Engineering Proceedings, 2022
    : The combined action of Machine Learning and the control system algorithm is proposed in this Renewable Energy System. The reason for proposing this Renewable Energy System is because it is a clean energy source from nature and it is free of cost. Here, the Renewable Energy system includes the Solar PV. This energy system has a higher scope of installation in most countries. For that, we propose a controller which achieves high performance and Guarantees Stability. In this proposed system, the disturbance and Uncertain parameters are considered both internal and external parameters. To overcome this problem, the Robust Control design is already implemented in the Control Engineering Field to attain System Stability. Conversely, this proposed method is a new approach to examine the System Stability by combining Machine Learning Gaussian Process Regression (MLGPR) with the Robust H-infinity Controller. The approach used in Machine Learning-GPR consists of gathering data of the initial system and gradually decreasing the Uncertainty, which results in an improvement of the performance. Finally, ML-GPR learns a model with Uncertainty bounds. We combined the model with a Control Framework (i.e., H-infinity Controller) that Guarantees Stability for this uncertain model. The design Environment used for the experimental verification is MATLAB/Simulink software. The Simulation Results confirmed the effectiveness of the newly proposed Control Strategy.

RECENT SCHOLAR PUBLICATIONS

  • Secured Data transmission in Wireless sensor Networks with an innovative Energy-Saving Substitute re-encryption
    P Ramaiah, N Shanmugam, JC Rathakrishnan, M Alagarsamy, SS Pa
    MDPI , 2024
    2024
  • Environment Friendly E-Bike with Reduced Power drain on Gradient Surface
    SS Pa
    MDPI , 2024
    2024
  • Rapid Control Prototyping System Design Guidelines For Power Electronics And Electrical Drives
    S.P.Sureshraj, P.John Britto, S.Muthuveerapan, M.Priya
    IN Patent 42/2,023 , 2023
    2023
  • Recent Innovations in Artificial Intelligence (AI) Algorithms in Electrical and Electronic Engineering for Future Transformations
    S.P.Sureshraj*, Nalini Duraisamy, Rathi Devi, S.Sureshkumar, M.Priya, John ...
    Marvels of Artificial and Computational Intelligence in Life Sciences 1, 263 … , 2023
    2023
  • Energy-efficient control methods in heterogeneous wireless sensor networks: A survey
    P Ramaiah, R Narmadha, SS Pa
    engineering proceedings 37 (1), 81 , 2023
    2023
    Citations: 12
  • Linear Quadratic Gaussian Design in a Grid-Connected and Islanded Microgrid System for Stability Enrichment
    S Se Pa, MB Yakoob, M Seetharaman, JD Victor, K Arumugam, ...
    Engineering Proceedings 37 (1), 65 , 2023
    2023
  • Linear quadratic Gaussian design in a grid-connected and islanded microgrid system for stability enrichment
    SS Pa, MB Yakoob, M Seetharaman, JD Victor, K Arumugam, ...
    Eng. Proc 37 (1), 65 , 2023
    2023
    Citations: 8
  • Energy management in hybrid electric vehicles
    P Sivakumar, G Sundararajan, D Nalini, Y Mohamed Badcha
    2022 OPJU International Technology Conference on Emerging Technologies for … , 2023
    2023
    Citations: 1
  • Machine learning gaussian process regression based robust h-infinity controller design for solar PV system to achieve high performance and guarantee stability
    S Se Pa, MB Yakoob, P Maruthai, K Singaravelu, N Duraisamy, ...
    Engineering Proceedings 19 (1), 26 , 2022
    2022
    Citations: 4

MOST CITED SCHOLAR PUBLICATIONS

  • Energy-efficient control methods in heterogeneous wireless sensor networks: A survey
    P Ramaiah, R Narmadha, SS Pa
    engineering proceedings 37 (1), 81 , 2023
    2023
    Citations: 12
  • Linear quadratic Gaussian design in a grid-connected and islanded microgrid system for stability enrichment
    SS Pa, MB Yakoob, M Seetharaman, JD Victor, K Arumugam, ...
    Eng. Proc 37 (1), 65 , 2023
    2023
    Citations: 8
  • Machine learning gaussian process regression based robust h-infinity controller design for solar PV system to achieve high performance and guarantee stability
    S Se Pa, MB Yakoob, P Maruthai, K Singaravelu, N Duraisamy, ...
    Engineering Proceedings 19 (1), 26 , 2022
    2022
    Citations: 4
  • Energy management in hybrid electric vehicles
    P Sivakumar, G Sundararajan, D Nalini, Y Mohamed Badcha
    2022 OPJU International Technology Conference on Emerging Technologies for … , 2023
    2023
    Citations: 1
  • Secured Data transmission in Wireless sensor Networks with an innovative Energy-Saving Substitute re-encryption
    P Ramaiah, N Shanmugam, JC Rathakrishnan, M Alagarsamy, SS Pa
    MDPI , 2024
    2024
  • Environment Friendly E-Bike with Reduced Power drain on Gradient Surface
    SS Pa
    MDPI , 2024
    2024
  • Rapid Control Prototyping System Design Guidelines For Power Electronics And Electrical Drives
    S.P.Sureshraj, P.John Britto, S.Muthuveerapan, M.Priya
    IN Patent 42/2,023 , 2023
    2023
  • Recent Innovations in Artificial Intelligence (AI) Algorithms in Electrical and Electronic Engineering for Future Transformations
    S.P.Sureshraj*, Nalini Duraisamy, Rathi Devi, S.Sureshkumar, M.Priya, John ...
    Marvels of Artificial and Computational Intelligence in Life Sciences 1, 263 … , 2023
    2023
  • Linear Quadratic Gaussian Design in a Grid-Connected and Islanded Microgrid System for Stability Enrichment
    S Se Pa, MB Yakoob, M Seetharaman, JD Victor, K Arumugam, ...
    Engineering Proceedings 37 (1), 65 , 2023
    2023