Dr. P. AROKIYA PRASAD

@stjoseph.ac.in

Assistant Professor in Department of Electrical and Electronics Engineering
ST.JOSEPH COLLEGE OF ENGINEERING

Dr. P. AROKIYA PRASAD


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https://researchid.co/arokiyaprasad
Assistant Professor in EEE

EDUCATION

B.E., M.E., Ph.D.

RESEARCH, TEACHING, or OTHER INTERESTS

Electrical and Electronic Engineering, Renewable Energy, Sustainability and the Environment, Automotive Engineering, Computer Engineering
9

Scopus Publications

49

Scholar Citations

4

Scholar h-index

1

Scholar i10-index

Scopus Publications

  • Human Impacts and Organizational Change: Digital Well-Being, Remote Work, and Psychosocial Sustainability
    N. Vinodh, A. K. Subramani, P. Arokiya Prasad
    Exploring Human Resource Innovations in E Economy, 2026
    This chapter delves into how digital well-being, remote work, and psychosocial sustainability intersect as key aspects of organizational change in today's digital era. With hybrid work becoming standard, issues such as digital fatigue, mental health challenges, and social isolation have emerged. Utilizing Self-Determination Theory, the Job Demands-Resources Model, and Socio-Technical Systems Theory, the chapter introduces a human-focused framework called CARE (Culture, Autonomy, Resilience, Equity) aimed at embedding emotional resilience, inclusive leadership, and ethical digital practices into HR strategies. It stresses the pressing necessity for organizations to transition from productivity-centered models to those that emphasize psychological safety, equitable access, and employee well-being. Through practical insights and interdisciplinary research, the chapter reimagines sustainable workplaces as environments where digital efficiency is harmonized with empathy and enduring well-being.
  • Intelligent Energy Exchange Prediction Between Solar PV Systems and Energy Storage Using AI for Enhanced Performance
    A. Aswini, P. Sivakumar, P. Arokiya Prasad, M. Kaleeswari
    Lecture Notes in Electrical Engineering, 2026
  • IoT Based Sustainable Smart City Lighting And Data Transmission Through Integration Of Solar-Powered LED Streetlights With VLC Technology
    B. Anitha Vijayalakshmi, K. Gokulkannan, M. S. Jeyalakshmi, P. Arokiya Prasad
    Journal of Optics India, 2025
  • Cloud Control Cold Storage System
    Rajalakshmi Alavanthan, P. Sivakumar, P. Arokiya Prasad
    Cognitive Science and Technology, 2023
  • Optimizing PV Power Output with Higher-Voltage Modules: A Comparative Analysis with Traditional MPPT Methods
    P. Rathi Devi, P. Sivakumar, P. Arokiya Prasad
    International Transactions on Electrical Energy Systems, 2023
    Summary. The dynamically rising demand for electricity must be satiated by both conventional and unconventional power sources. PV electricity generation is essential. The installed PV sources are not used to their full potential due to low irradiance and poor weather. The goal of many research publications was to maximize PV power using different MPPT approaches. In order to extract the most power under the aforementioned circumstances, this study introduces a novel notion of using a voltage boosting PV panels. Additional PV panels are used in the suggested way to provide enough voltage and current. Using a voltage-boosting PV panel, a 20 kW panel is examined for low irradiance and unfavorable weather conditions. In a proposed method, results are compared with the previous INC MPPT method using a 20-kW panel. Through the power analysis, the proposed method extracted 1277.5 kW of power per year that is more than the INC MPPT method, and Rs. 10,220 per year was benefited during low irradiation alone. The power extraction and cost benefits are similar in cloudy and misty conditions. With power, cost, and efficiency analyses, the new method is contrasted with the traditional incremental conductance method and perturb and observe methods. Simulations were run using the MATLAB/Simulink programme, and experimental results were assessed using the appropriate hardware setup.
  • FPGA-Oriented Virtual Panel Connected Photovoltaic System for Maximum Power Point Tracking at Partial Shading Condition
    A. Aswini, P. Thirusenthil Kumaran, P. Siva Kumar, P. Arockia Prasad, G. Jai Sreedhar, et al.
    2023 3rd International Conference on Smart Generation Computing Communication and Networking Smart Gencon 2023, 2023
    The growing demand for sustainable energy sources has led to the increased implementation of solar power systems. However, solar panels often face challenges in extracting energy efficiently under low irradiance conditions, such as cloudy skies or shading effects. This paper introduces an innovative approach to enhance energy extraction from solar panels during low irradiance periods using a FieldProgrammable Gate Array (FPGA) controller. The virtual panel is to be integrated with the original photovoltaic array which, exhibits the characteristics of the original photovoltaic array. A centralized system built on a field programmable gate array (FPGA) is used to sense and track solar irradiance throughout an entire PV facility. Whenever the irradiation level becomes low on its boundary level, the DC-to-DC converter may also fail to extract energy from the photovoltaic source. During that time, the virtual panel gives sufficient voltage compensation for extracting and utilizing the low power due to low Irradiation.
  • IoT based Solar Powered Induction Heating for Hyperthermia Treatment
    P. Siva Kumar, A. Aswini, M. Kaleeswari, P.Arockia Prasad, R. Manickavasagam, et al.
    2023 4th International Conference on Electronics and Sustainable Communication Systems Icesc 2023 Proceedings, 2023
    Induction heating technique is now the preferred heating method in various engineering, household, and therapeutic applications owing to its profits in terms of efficiency, rapid heating, safety, spotlessness, and accurate control. Solar energy is the greatest plentiful energy source for producing heat in induction heating system. In this project, an induction heating system integrating Internet of Things has been suggested for use in healthcare. The main aim of this research is to use internet of things technology and induction heating to assist treat cancer (IoT). According to a previously established notion, cancer cells cannot live in environments 5 to 6 degrees Celsius warmer than normal body temperature. Hyperthermia. involves heating to 39-45°C to promote susceptible to chemotherapy and radiotherapy, are routinely used in the clinic. In order to slaughter cancer cells without damaging healthy cells, a ferromagnetic implant will be positioned close to the cancerous cells in the body. By applying induction heating, the temperature of the implant can be elevated between 41 and 43 degrees Celsius. Small stand-alone photovoltaic (PV) systems can now be remotely supervised with the help of the Internet of Things (IoT). Additionally, IoT will monitor the patient’s behaviors and record everything in real-time to the cloud, where it can be accessed from any location with an internet connection at any time. They also constantly keep an eye on the temperature of the ferromagnetic implant to ensure that the therapy is comfortable.
  • Machine Learning-based LFC Modelling for Solar and Wind Power Plant
    P. Sivakumar, P.Arokiya Prasad, M. Kaleeswari, D. Anitha, A. Aswini, et al.
    2023 4th International Conference on Electronics and Sustainable Communication Systems Icesc 2023 Proceedings, 2023
    With the increase in global warming, the diminishing supply of fossil fuels, and the high density of carbon dioxide emissions, the world has become more worried about energy generation using alternate sources of energy such as solar, wind, biomass, and tidal energy. When non-linear loads are connected to the grid it produces the issues like voltage instability, frequency fluctuations, and overloading of system components and it affects the overall reliability of system components. Hence frequency regulation is important for the operation of any grid or Renewable Energy Source (RES) that is connected to the load. When the total power supply is lesser than or more than the required load demand, then it produces frequency fluctuations. So, the Machine Learning-based Load Frequency Control (LFC) method is implemented for counteracting demand fluctuations. When consumer loads are integrated with Distributed Generation (DG) which is comprised of both Solar and wind, the energy demand of the loads will be satisfied by the Renewable Energy Sources during peak hours. In this proposed system, the four areas are considered along with the grid, PV, and wind power plant for Load Frequency Control using Machine Learning (ML). The proposed model is controlled by Proportional Integral and derivative controller (PID) for the betterment of less oscillatory response. The core focus of the proposed research is to implement modeling of a Machine Learning (ML) based modified LFC for a four-area model which is penetrated with a green source such as gust energy and photovoltaic energy for minimizing rapid load fluctuations.
  • Biased Maximum Power Extraction from a PV during Low Irradiation and a Highly Stiffed Grid Condition
    P. Arokiya Prasad, P. Sivakumar
    International Transactions on Electrical Energy Systems, 2022
    Growing electrical demand is to be met dynamically through conventional and nonconventional power sources. PV power generation plays a vital role. Because of low irradiation and overcast weather condition, the installed PV sources are not fully utilized. Many research papers were presented to extract maximum power from PV using various MPPT techniques. This paper presents a new idea of implementing a biased transformer to extract maximum power during the above condition. The proposed method uses three winding transformers to give sufficient biased voltage and current. The biased current and voltage were obtained from the grid that is fed to the primary winding—two of the three winding transformers through the controller. A 10 kW panel is checked for low irradiation and overcast weather condition using the biased MPPT technique. The proposed method is compared with the conventional incremental conductance method with power, cost, and efficiency analysis. Simulation was carried out in MATLAB/Simulink software and experimentally evaluated through a suitable hardware setup.

RECENT SCHOLAR PUBLICATIONS

  • Intelligent Energy Exchange Prediction Between Solar PV Systems and Energy Storage Using AI for Enhanced
    A Aswini, P Sivakumar, PA Prasad, M Kaleeswari
    Proceedings of International Conference on Power Electronics and Renewable … , 2026
    2026.0
  • Exploring innovations and opportunities in visible light communication for 5G-enabled industrial IoT systems
    BA Vijayalakshmi, M Ramalingam, MK Nagarajan, PA Prasad
    Journal of Optics, 1-8 , 2025
    2025.0
  • IoT based sustainable smart city lighting and data transmission through integration of solar-powered led streetlights with VLC technology
    B Anitha Vijayalakshmi, K Gokulkannan, MS Jeyalakshmi, ...
    Journal of Optics, 1-8 , 2025
    2025.0
    Citations: 3
  • Intelligent Energy Exchange Prediction Between Solar PV Systems and Energy Storage Using AI for Enhanced Performance
    A Aswini, P Sivakumar, P Arokiya Prasad, M Kaleeswari
    International Conference on Power Electronics and Renewable Energy Systems … , 2024
    2024.0
  • IoT based Solar Powered Induction Heating for Hyperthermia Treatment
    PS Kumar, A Aswini, M Kaleeswari, PA Prasad, R Manickavasagam, ...
    2023 4th International Conference on Electronics and Sustainable … , 2023
    2023.0
    Citations: 7
  • Machine Learning-based LFC Modelling for Solar and Wind Power Plant
    P Sivakumar, PA Prasad, M Kaleeswari, D Anitha, A Aswini, P Tamilvani
    2023 4th International Conference on Electronics and Sustainable … , 2023
    2023.0
    Citations: 6
  • Optimizing PV Power Output with Higher‐Voltage Modules: A Comparative Analysis with Traditional MPPT Methods
    PR Devi, P Sivakumar, PA Prasad
    International Transactions on Electrical Energy Systems 2023 (1), 8656986 , 2023
    2023.0
    Citations: 3
  • Cloud control cold storage system
    R Alavanthan, P Sivakumar, P Arokiya Prasad
    Proceedings of the International Conference on Cognitive and Intelligent … , 2023
    2023.0
    Citations: 2
  • Biased maximum power extraction from a PV during low irradiation and a highly stiffed grid condition
    PA Prasad, P Sivakumar
    International Transactions on Electrical Energy Systems 2022 (1), 4802473 , 2022
    2022.0
    Citations: 3
  • Adaptive neuro fuzzy inference system based MPPT technique for volatile speed wind energy conversion system
    PA Prasad, P Sivakumar, P Suresh, G Ramya, M Kaleeswari
    2020.0
    Citations: 4
  • Advanced Microgrid Control Technology with Nano pi using Honeypot IoT
    PAPDP Sivakumar
    International Journal of Test Engineering and Management 83 (1), 14561 - 14565 , 2020
    2020.0
  • Comparative Analysis of three phase VSI based STATCOM system using PI and PR controller
    AGKPAP G.Ramya, P.Suresh
    Journal of Information and computational Science 10 (1) , 2020
    2020.0
  • Implementation of Digital Harmonic Controller in Smart Grid
    PA Prasad, LP Sivakumar
    International Journal of Pure and Applied Mathematics 119 (16), 4201-4212 , 2018
    2018.0
    Citations: 1
  • Smart Wheel Chair
    P Prasad, P Kumar, E Paradesi
    International Journal Of Engineering Science And Computing 7 (4) , 2017
    2017.0
    Citations: 5
  • Utilize Distributed power flow controller to compensate unbalanced voltage in nine bus system
    SO P.Arokiya Prasad, Arokiya claris
    International Journal of Advanced Research in Electrical, Electronics and … , 2017
    2017.0
  • High efficiency DC-DC Boost Converter for module integrated photovoltaic Application
    AA P.Arokiya Prasad, T.Santhosh Banu, D.Cruz derik
    International Research Journal of Engineering and Technology 4 (4) , 2017
    2017.0
  • Comparative studies on anthelmintic activity of natural sweeteners.
    P Prasad, PP Kumar, K Satyavathi, MC Prabhakar
    2010.0
    Citations: 11
  • Studies on the survival of Alternaria alternata, the causal agent of alternariosis of groundnut.
    P Prasad, MN Reddy
    1986.0
    Citations: 4
  • New Integrated Multilevel Converter for Switched Reluctance Motor Drives in Plug-in Hybrid Electric Vehicles with Flexible Energy Conversion for renewable application
    P PRASAD
  • Utilization of PLC as a web server for remote monitoring of the Technological process
    SS P.Arokiya Prasad
    Electrical Engineering and Electronic Technology (JEEET) 6 (2) , 0

MOST CITED SCHOLAR PUBLICATIONS

  • Comparative studies on anthelmintic activity of natural sweeteners.
    P Prasad, PP Kumar, K Satyavathi, MC Prabhakar
    2010.0
    Citations: 11
  • IoT based Solar Powered Induction Heating for Hyperthermia Treatment
    PS Kumar, A Aswini, M Kaleeswari, PA Prasad, R Manickavasagam, ...
    2023 4th International Conference on Electronics and Sustainable … , 2023
    2023.0
    Citations: 7
  • Machine Learning-based LFC Modelling for Solar and Wind Power Plant
    P Sivakumar, PA Prasad, M Kaleeswari, D Anitha, A Aswini, P Tamilvani
    2023 4th International Conference on Electronics and Sustainable … , 2023
    2023.0
    Citations: 6
  • Smart Wheel Chair
    P Prasad, P Kumar, E Paradesi
    International Journal Of Engineering Science And Computing 7 (4) , 2017
    2017.0
    Citations: 5
  • Adaptive neuro fuzzy inference system based MPPT technique for volatile speed wind energy conversion system
    PA Prasad, P Sivakumar, P Suresh, G Ramya, M Kaleeswari
    2020.0
    Citations: 4
  • Studies on the survival of Alternaria alternata, the causal agent of alternariosis of groundnut.
    P Prasad, MN Reddy
    1986.0
    Citations: 4
  • IoT based sustainable smart city lighting and data transmission through integration of solar-powered led streetlights with VLC technology
    B Anitha Vijayalakshmi, K Gokulkannan, MS Jeyalakshmi, ...
    Journal of Optics, 1-8 , 2025
    2025.0
    Citations: 3
  • Optimizing PV Power Output with Higher‐Voltage Modules: A Comparative Analysis with Traditional MPPT Methods
    PR Devi, P Sivakumar, PA Prasad
    International Transactions on Electrical Energy Systems 2023 (1), 8656986 , 2023
    2023.0
    Citations: 3
  • Biased maximum power extraction from a PV during low irradiation and a highly stiffed grid condition
    PA Prasad, P Sivakumar
    International Transactions on Electrical Energy Systems 2022 (1), 4802473 , 2022
    2022.0
    Citations: 3
  • Cloud control cold storage system
    R Alavanthan, P Sivakumar, P Arokiya Prasad
    Proceedings of the International Conference on Cognitive and Intelligent … , 2023
    2023.0
    Citations: 2
  • Implementation of Digital Harmonic Controller in Smart Grid
    PA Prasad, LP Sivakumar
    International Journal of Pure and Applied Mathematics 119 (16), 4201-4212 , 2018
    2018.0
    Citations: 1
  • Intelligent Energy Exchange Prediction Between Solar PV Systems and Energy Storage Using AI for Enhanced
    A Aswini, P Sivakumar, PA Prasad, M Kaleeswari
    Proceedings of International Conference on Power Electronics and Renewable … , 2026
    2026.0
  • Exploring innovations and opportunities in visible light communication for 5G-enabled industrial IoT systems
    BA Vijayalakshmi, M Ramalingam, MK Nagarajan, PA Prasad
    Journal of Optics, 1-8 , 2025
    2025.0
  • Intelligent Energy Exchange Prediction Between Solar PV Systems and Energy Storage Using AI for Enhanced Performance
    A Aswini, P Sivakumar, P Arokiya Prasad, M Kaleeswari
    International Conference on Power Electronics and Renewable Energy Systems … , 2024
    2024.0
  • Advanced Microgrid Control Technology with Nano pi using Honeypot IoT
    PAPDP Sivakumar
    International Journal of Test Engineering and Management 83 (1), 14561 - 14565 , 2020
    2020.0
  • Comparative Analysis of three phase VSI based STATCOM system using PI and PR controller
    AGKPAP G.Ramya, P.Suresh
    Journal of Information and computational Science 10 (1) , 2020
    2020.0
  • Utilize Distributed power flow controller to compensate unbalanced voltage in nine bus system
    SO P.Arokiya Prasad, Arokiya claris
    International Journal of Advanced Research in Electrical, Electronics and … , 2017
    2017.0
  • High efficiency DC-DC Boost Converter for module integrated photovoltaic Application
    AA P.Arokiya Prasad, T.Santhosh Banu, D.Cruz derik
    International Research Journal of Engineering and Technology 4 (4) , 2017
    2017.0
  • New Integrated Multilevel Converter for Switched Reluctance Motor Drives in Plug-in Hybrid Electric Vehicles with Flexible Energy Conversion for renewable application
    P PRASAD
  • Utilization of PLC as a web server for remote monitoring of the Technological process
    SS P.Arokiya Prasad
    Electrical Engineering and Electronic Technology (JEEET) 6 (2) , 0