Sundararajan G

EDUCATION

B.E,M.Tech

RESEARCH, TEACHING, or OTHER INTERESTS

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

Scopus Publications

Real-Time Quantum Machine Learning-Based Anomaly Detection for Lithium-Ion Battery Packs and Identification of Defective Cell
Sivakumar P, Jagadeesh V, Sundararajan G
7th International Conference on Energy Power and Environment Icepe 2025, 2025
Lithium-ion batteries are widely used in applications ranging from electric vehicles to renewable energy storage, making real-time monitoring essential for ensuring safety and efficiency. Anomalies such as cell degradation, thermal runaway, and overcurrent conditions can lead to severe performance issues and potential hazards. Clustering-based anomaly detection is a common approach for identifying such irregularities, but traditional methods like K-Means face challenges in efficiently processing high-dimensional battery monitoring data, adapting to dynamic changes, and distinguishing between transient fluctuations and genuine anomalies. Quantum K-Means, which utilizes quantum state encoding and entanglement, offers a different approach by accelerating distance computations between data points and centroids, improving performance in real-time applications. This study focuses on detecting defective battery cells through anomaly detection while also ensuring cell balancing to enhance battery longevity. By integrating real-time clustering with historical trend analysis, the detection framework can effectively distinguish between persistent faults and temporary fluctuations, reducing false positives. A comparative analysis is conducted between Hybrid Quantum K-Means clustering and various classical clustering algorithms to evaluate their effectiveness in identifying anomalies and optimizing battery performance by finding the defective cell. The findings provide insights into the advantages and limitations of quantum-enhanced clustering techniques in real-time battery pack monitoring and cell balancing.
Power Management Strategies for Smart Grids Incorporating RE: the POA and RICCNN Approach for Enhanced Efficiency
P. Rathi Devi, G. Sundararajan, P. Sivaraman, R. Anguraja
IETE Journal of Research, 2025
Efficient integration of battery storage systems (BSS) with renewable energy sources (RES) has been proposed as a solution to reduce peak-to-average ratio (PAR), carbon emissions, and energy management issues. This manuscript proposed a hybrid method of efficient power management strategies for smart grids with renewable integration. The proposed method is the joint operation of both the Pelican optimization algorithm (POA) and Rotation invariant coordinate convolutional neural network (RICCNN). As a result, it is called the POA-RICCNN method. The primary goals of the proposed approach are peak-to-average ratio (PAR) and cost reduction. RICCNN is used to forecast the load demand and the POA method is used to optimize energy management. The proposed hybrid strategy is put into practice on the MATLAB platform and contrasted with existing techniques. The proposed strategy indicates a low-cost value is 3.9$ contrasted with other existing techniques like the higher cost firefly optimization algorithm (FOA) method which is 6.9$, the high cost of the particle swarm optimization (PSO) method is 4.9$, and also high cost of Ant colony optimization (AOA) method is 5.9$, respectively.
Hybrid photovoltaic thermal power cogeneration during different irradiances
M. Kaleeswari, A. Alice Hepzibah, A. Aswini, P. Sivakumar, G. Sundararajan
2024 International Conference on Integration of Emerging Technologies for the Digital World Icietdw 2024, 2024
The power demand is a predicament for the next generation due to the increasing number of consumer utilities and the development of most of the Electric Vehicle Charging Stations. Because of reduction of fossil fuels and environmental pollution, power generation by the use of natural resources should be considered. The co-generation of electrical power using a Photovoltaic Thermal Hybrid Solar Panel is useful for local power consumers like household home appliances. The photovoltaic (PV) cell is heated by the different modes of heating by natural sunlight and the corresponding variations of electrical power and thermal power are analyzed in this proposed research. The combined use of PV with thermal energy for heating the glasses of PV surfaces makes the system operate more efficiently and reliably to operate to get Maximum power from the cogeneration output. The proposed simulation includes the cogeneration of photovoltaic energy and thermal energy by the conversion process of converting the light energy into heat transfer by the Fresnel radiation method. Here the thermal energy transfer to the pumped water is simulated in different modes like radiation, convection, and conduction. In this analysis, the overall power generation by solar energy, the efficiency of generated electrical and thermal energy, and overall power generation are calculated.
Improvement and Enhancement of Energy-Saving Induction Heaters
P. RathiDevi, P. Sivakumar, P. Thirusenthil Kumaran, G. Sundararajan, D. Jenita
2023 International Conference on Energy Materials and Communication Engineering Icemce 2023, 2023
In many industrial and scientific applications, induction heaters are widely used to heat magnetic materials, especially when precise, controlled heating is needed. Compared to other heating methods, induction heating has advantages including noncontact heating, high efficiency, surface hardening, clean heating, and more. Hard switching inverter circuits are used in power circuit layouts for induction heating systems in a variety of applications, which increases inverter bridge losses, particularly in high current, high frequency switching applications. Soft switching type induction heaters have the advantages of minimal switching power loss and high frequency operation, which make them suitable for usage in a range of process applications. The implementation and simulation of an induction heater are covered in this research. In this model, a single phase, half bridge, series resonant inverter generates high frequency current. The driver circuit for a single phase half bridge series resonant inverter is controlled by a microcontroller unit.The current passing through the load controls the duty cycle of the gate pulses provided to the switching device's gate. Haul To keep an eye on the current passing through the load, sensors are employed. The microcontroller unit generates the gate pulses required by the switching devices. A PIC16F877A microcontroller is employed. By changing the PWM gate pulse's duty cycle, which is produced by the PIC16F877A microcontroller, the amount of power sent to the load can be adjusted. The power used by the load is managed by the induction heater's closed loop control.
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.
LSTM Recurrent Neural Network-Based Frequency Control Enhancement of the Power System with Electric Vehicles and Demand Management
G. Sundararajan, P. Sivakumar
International Transactions on Electrical Energy Systems, 2022
Due to the unpredictable and stochastic nature of renewables, current power networks confront operational issues as renewable energy sources are more widely used. Frequency stability of modern power systems has been considerably harmed by fast and unpredictable power variations generated by intermittent power generation sources and flexible loads. The main objective of the power system frequency control is to ensure the generation demand balance at all times. In reality, obtaining precise estimates of the imbalance of power in both transmission and distribution systems is challenging, especially when renewable energy penetration is high. Electric vehicles have become a viable tool to reduce the occasional impact of renewable energy sources engaged in frequency regulation mainly because of vehicle-to-grid technologies and the quick output power management of EV batteries. The rapid response of EVs enhances the effectiveness of the LFC system significantly. This research work investigates a deep learning strategy based on a long short-term memory recurrent neural network to identify active power fluctuations in real-time. The new approach assesses power fluctuations from a real-time observed frequency signal precisely and quickly. The observed power fluctuations can be used as a control reference, allowing automatic generation control to maintain better system frequency and ensure optimum generation cost with the use of demand management techniques. To validate the suggested method and compare it with several classical methods, a realistic model of the Indian power system integrated with distributed generation technology is used. The simulation results clearly indicate the importance of power fluctuation identification as well as the benefits of the proposed strategy. The results clearly show a considerable improvement in response performance indices, as the maximum peak overshoot was decreased by 21.25% to 51.2%, and settling time was lowered by about 23.34% to 65.40% for the suggested control technique compared to other controllers.
A survey on controlling techniques employed in Microgrid
A. Vivekanandhan, P. Rathi Devi, P. Sivakumar, S. Vijayalakshmi, G. Sundararajan, P. John Britto, S. Karthikeyan
2022 International Virtual Conference on Power Engineering Computing and Control Developments in Electric Vehicles and Energy Sector for Sustainable Future Peccon 2022, 2022
Diminishing era of conventional non-renewable energy sources set up the path for the research and expansion of renewable energy sources (RES) continues with the development of the microgrid and its controls. Microgrids are supplied from the RES through some power converters which leads to the necessity of a controller to suppress the power quality issues due to their nonlinearity properties. In this paper, the controlling techniques employed and analyzed for microgrid application were briefly overviewed and discussed.
An assessment on performance of DC-DC converters for renewable energy applications
S. Sivakumar, M. Jagabar Sathik, P.S. Manoj, G. Sundararajan
Renewable and Sustainable Energy Reviews, 2016

RECENT SCHOLAR PUBLICATIONS

Power Management Strategies for Smart Grids Incorporating RE: the POA and RICCNN Approach for Enhanced Efficiency
P Rathi Devi, G Sundararajan, P Sivaraman, R Anguraja
IETE Journal of Research, 1-12 , 2025
2025.0
Real-Time Quantum Machine Learning-Based Anomaly Detection for Lithium-Ion Battery Packs and Identification of Defective Cell
P Sivakumar, V Jagadeesh, G Sundararajan
2025 7th International Conference on Energy, Power and Environment (ICEPE), 1-6 , 2025
2025.0
Citations: 1
Hybrid photovoltaic thermal power cogeneration during different irradiances
M Kaleeswari, AA Hepzibah, A Aswini, P Sivakumar, G Sundararajan
2024 International Conference on Integration of Emerging Technologies for … , 2024
2024.0
Improvement and Enhancement of Energy-Saving Induction Heaters
P RathiDevi, P Sivakumar, PT Kumaran, G Sundararajan, D Jenita
2023 International Conference on Energy, Materials and Communication … , 2023
2023.0
Citations: 2
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
2023.0
Citations: 1
A survey on controlling techniques employed in microgrid
A Vivekanandhan, PR Devi, P Sivakumar, S Vijayalakshmi, ...
2022 International Virtual Conference on Power Engineering Computing and … , 2022
2022.0
Citations: 3
LSTM Recurrent Neural Network-Based Frequency Control Enhancement of the Power System with Electric Vehicles and Demand Management
PS G.Sundararajan
International Transactions on Electrical Energy Systems 1281248 , 2022
2022.0
Citations: 18
An assessment on performance of DC–DC converters for renewable energy applications
S Sivakumar, MJ Sathik, PS Manoj, G Sundararajan
Renewable and Sustainable Energy Reviews 58, 1475-1485 , 2016
2016.0
Citations: 293
Floating Oscillation Floater-Type Fluid-powered Wave Power Generation Apparatus
SK G. Sundararajan, Y. Mohamed Badcha
International Journal of Early Childhood Special Education 14 (10) , 0

MOST CITED SCHOLAR PUBLICATIONS

An assessment on performance of DC–DC converters for renewable energy applications
S Sivakumar, MJ Sathik, PS Manoj, G Sundararajan
Renewable and Sustainable Energy Reviews 58, 1475-1485 , 2016
2016.0
Citations: 293
LSTM Recurrent Neural Network-Based Frequency Control Enhancement of the Power System with Electric Vehicles and Demand Management
PS G.Sundararajan
International Transactions on Electrical Energy Systems 1281248 , 2022
2022.0
Citations: 18
A survey on controlling techniques employed in microgrid
A Vivekanandhan, PR Devi, P Sivakumar, S Vijayalakshmi, ...
2022 International Virtual Conference on Power Engineering Computing and … , 2022
2022.0
Citations: 3
Improvement and Enhancement of Energy-Saving Induction Heaters
P RathiDevi, P Sivakumar, PT Kumaran, G Sundararajan, D Jenita
2023 International Conference on Energy, Materials and Communication … , 2023
2023.0
Citations: 2
Real-Time Quantum Machine Learning-Based Anomaly Detection for Lithium-Ion Battery Packs and Identification of Defective Cell
P Sivakumar, V Jagadeesh, G Sundararajan
2025 7th International Conference on Energy, Power and Environment (ICEPE), 1-6 , 2025
2025.0
Citations: 1
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
2023.0
Citations: 1
Power Management Strategies for Smart Grids Incorporating RE: the POA and RICCNN Approach for Enhanced Efficiency
P Rathi Devi, G Sundararajan, P Sivaraman, R Anguraja
IETE Journal of Research, 1-12 , 2025
2025.0
Hybrid photovoltaic thermal power cogeneration during different irradiances
M Kaleeswari, AA Hepzibah, A Aswini, P Sivakumar, G Sundararajan
2024 International Conference on Integration of Emerging Technologies for … , 2024
2024.0
Floating Oscillation Floater-Type Fluid-powered Wave Power Generation Apparatus
SK G. Sundararajan, Y. Mohamed Badcha
International Journal of Early Childhood Special Education 14 (10) , 0