Power System Engineering, Power System Optimization, Micro-Grid, Electric Vehicle Technology, Renewable Energy
19
Scopus Publications
207
Scholar Citations
8
Scholar h-index
6
Scholar i10-index
Scopus Publications
Integrated ATC enhancement and load growth forecasting via WOA-based optimal DSTATCOM placement Arumuga Babu M, Anbuchandran S, Silas Stephen D, Sankar R Scientific Reports, 2026 Enhancing Available Transfer Capability (ATC) is crucial in today’s deregulated power systems. Power can be transferred from the sending end to the receiving end only if adequate ATC is available. Operators are encouraged to make the best use of existing infrastructure to improve ATC margins. Flexible AC Transmission Systems (FACTS) devices help by regulating phase angle, voltage, and reactance, which changes load flow and controls bus voltages. In this study, the Whale Optimization Algorithm (WOA) is used to find the optimal location and control settings of a Distribution Static Compensator (DSTATCOM). ATC forecasting under 3 and 6% load growth is done using linear regression, with the inclusion of DSTATCOM. Equations linking load growth to ATC for various sinking buses are developed. Forecast accuracy is improved using quadratic regression in which the errors are under 1% and sometimes as low as 0.01%. This approach helps operators and planners prepare for future transmission needs under growing demand.
Sustainable Manufacturing of High-Performance Ternary Geopolymer Composites Using Multi-Source Waste for Energy-Efficient Buildings Selvaraju P, Nidhya Rathinavel, Mohanasundaram K, Silas Stephen D EPJ Web of Conferences, 2026 The research work presented an environmentally sustainable ternary geopolymer composite, which uses fly ash, waste foundry sand, and construction and demolition waste C&D as its base materials. The main goal of the study is to develop construction materials that effectively use energy- saving technologies during all building operations. In this study, six mix designs were developed with desired material combinations after testing different WFS and C&D material ratios while keeping fly ash levels constant to assess material strength and durability. The study also used statistical models to examine dry density, water absorption, compressive strength, impact resistance, and abrasion loss. The optimum mix consisted of 30% C&D waste (M3) on various parameters, such as the highest compressive strength of 38 MPa, the lowest water absorption of 7.2%, and increased impact resistance of 15%. The performance enhancement occurred due to the formation of N-A-S-H and C-A-S-H gels. The development occurred through the combination of silica obtained from waste foundry sand, together with calcium derived from C&D fines. The research demonstrates an effective multi-waste valorisation method that creates an environmentally sustainable production process while promoting circular economy principles through its efficient resource usage and low-carbon material production.
Machine Learning Base Bone Density Detection Using T-Score K. Mohanasundaram, P. Selvaraju, D. Silas Stephen, S. Revathi, K.V. Mohan Raj 7th International Conference on Mobile Computing and Sustainable Informatics Icmcsi 2026, 2026 Early and accurate identification of bone-health conditions such as Osteopenia and Osteoporosis is critical for preventing fractures and improving clinical outcomes. In this study, machine-learning techniques were applied to classify bone-health status into three categories such as Normal, Osteopenia, and Osteoporosis using features extracted from biomedical signals. Six classifiers, including Naive Bayes, Support Vector Machine, Decision Tree, Gradient Boosting, Random Forest, and K-Nearest Neighbors (KNN), were systematically evaluated using confusion matrices and overall accuracy metrics. The results indicate substantial differences in model performance, with KNN achieving the highest accuracy of 70.62 %, followed by the ensemble-based Gradient Boosting and Random Forest models at 63.47 %. In contrast, traditional models such as SVM, Decision Tree, and Naive Bayes exhibited comparatively lower accuracies below 41 %. The confusion matrix analysis further revealed that osteopenia, being a transitional state between normal and osteoporotic density, was the most frequently misclassified category across several models. Overall, the findings demonstrate that non-parametric and ensemble learning methods are more effective for capturing the nonlinear and overlapping feature patterns present in biomedical data. This study underscores the potential of machine-learning-based decision-support systems for aiding early detection and classification of bone-health conditions, providing a foundation for future advancements incorporating deep learning and multimodal data integration.
Visual Question Answering Model Using Transformer-Based Multi-Head Cross Attention Network with Optimized Gold Rush Octave Convolution Network J. Jinu Sophia, T. Prem Jacob, D. Silas Stephen International Journal of Image and Graphics, 2025 The ability of Visual Question Answering (VQA) models to provide insightful responses to images based on their content holds the potential to completely transform machine interpretation and interaction. VQA systems face challenges due to noisy image data, making accurate question answering difficult. Several deep learning algorithms are used for predicting answers from images, but they don’t yield enough outcomes. To get over these problems, this work is suggested. In this manuscript, a visual question–answer model-based Transformer-Based Multi-Head Cross Attention Network with optimized Gold Rush Octave Convolution Network (T-MHCAN-OGRCNN) is proposed. To enhance VQA accuracy, three datasets are taken: VQA v2.0, OK-VQA, and FVQA, which include images with embedded questions and answers. These images often contain noise, necessitating pre-processing for improved results. Then, Task-Oriented Homogenized Automatic (TOHA) method for noise reduction is used. For word embedding, Multiscale Parallel MobileNetV3 (WE-MP-MobileNetV3) is employed. Following that, visual and textual features are extracted using Transformer-Based Multi-Head Cross Attention Network (T-MHCAN). The core VQA task is handled by a Fully Octave Convolution Network (OCNN), whose weight parameters are optimized using Gold Rush Optimizer (GRO). Therefore, this method incorporates cutting-edge strategies to improve precision and resilience of VQA systems. The suggested T-MHCAN-OGRCNN technique is implemented on Python platform. Three datasets were used to evaluate the effectiveness of the suggested T-MHCAN-OGRCNN, which achieves superior results than current techniques with 99.9% accuracy and 99.8% recall. This demonstrates approach’s exceptional effectiveness and room for growth in industry.
MIWO based MPPT of PV system for induction motor driven water pumping system S. Anbuchandran, D. Silas Stephen, M. Arumuga Babu, A. Bhuvanesh E Prime Advances in Electrical Engineering Electronics and Energy, 2024 • A highly efficient EMS for a PV-powered induction motor-driven WPS without the need for a battery is proposed. • It handles PSC due to sudden fluctuations in solar irradiances. • Combination of MIWO with P&O to ensure the system functions effectively under PSCs. • The efficiency of the proposed method is compared with P&O hybridization with GA, PSO, and GWO. Renewable energy source-based Water Pumping Systems (WPSs) have gained popularity for drinking, agricultural, and industrial purposes. Locally situated standalone Photovoltaic (PV) powered WPS can provide a viable water supply solution, especially with induction motors (IM) due to their advantages over other motor types. However, solar PV energy output is greatly influenced by weather conditions, necessitating energy storage systems like batteries, which increase costs and require maintenance. This research proposes an efficient energy management system for a PV-powered IM-driven WPS that does not rely on batteries. The system handles Partial Shading Conditions (PSC) effectively, thanks to a sensorless speed controller combining a Modified Invasive Weed Optimization (MIWO) mechanism with the Perturb and Observe (P&O) method. This controller uses the inverter as an MPPT circuit, eliminating the need for a distinct converter to follow the MPP. The hybrid P&O-MIWO method's outcomes are compared with those of P&O hybridization with GA, PSO, and GWO to assess efficiency under various PSCs. TS-Fuzzy controllers are employed for voltage control at the DC-link and motor speed. The proposed system is analyzed across different scenarios and validated using a Simulink model in MATLAB. Results indicate that the hybrid P&O-MIWO mechanism enhances energy generation from the PV unit without relying on energy storage devices, providing a cost-effective solution for PV-based WPS implementation.
DC microgrid for EV charging station with EV control by using STSM controllers S Anbuchandran, M Arumuga Babu, D Silas Stephen, M Thinakaran Engineering Research Express, 2024 This study explores innovative control strategies for electric vehicle (EV) charging stations in a DC Microgrid powered by solar and wind energy. A new methodology regulates the dc-link voltage through various converters while a modified vector control method enhances the performance of switched reluctance motors (SRMs). The implementation of super twisting sliding mode (STSM) controllers show superior performance compared to traditional PI and Fuzzy controllers. The design of an asymmetrical converter with four battery banks also minimizes charging durations. The real-time test system (RTS) effectively managed power generation within a DC microgrid, demonstrating a stable voltage at the DC bus despite variations in total generation from photovoltaic (PVS) and wind systems. In Case 1, the controller successfully maintained power balance while charging electric vehicles and managing DC loads. During load torque adjustments, the system maintained a steady motor speed of 320 RPM even with a load torque increase from 5 Nm to 50 Nm at 3 s, showcasing its robust vector control strategy. Notably, the system facilitated a reverse operation at 10 km h−1 (80 RPM) by seamlessly adjusting the engine’s reference speed from 80 RPM to −80 RPM at t = 4.0 s. The vector control causes the engine speed heading to be opposite in a natural manner., indicating its innovative capability to handle diverse operational scenarios. The MATLAB/Simulink package serves as the foundation for the proposed model, which is then integrated into OPAL-RT modules to create a Hardware-in-the-Loop (HIL) system for showcasing diverse outcomes. Different outcomes are deliberated with validated justifications of the suggested approach. The research is linked to Sustainable Development Goals 7 (Affordable and clean energy) and 13 (Climate action).
A hybrid optimization for distributed generation and D-STATCOM placement in radial distribution network: a multi-faceted evaluation Anbuchandran S, Arumuga Babu M, Silas Stephen D, Thinakaran M Engineering Research Express, 2024 The deregulation of the power system, upward growth in electrical energy demand and network expansion have resulted in an increasing integration of distributed generation (DG) and distribution static synchronous compensator (D-STATCOM) into radial distribution systems (RDS). Nonetheless, the optimal allocation of these devices is highly important to derive immense benefits. This investigation narrows down on optimizing DG and D-STATCOM placement in IEEE 33-bus RDS with a view to increase bus voltages, decrease power losses as well as maximize economic gains. The study undertakes a comprehensive analysis comparing the technical, economic and environmental performance of DG and D-STATCOM; thereby enabling power engineers to make informed choices concerning which device will be most advantageous when it comes to delivering power in RDS. A fuzzy enhanced firefly optimization (FEFO) approach is proposed for the optimization and a multifaceted evaluation in terms of technical, financial and environmental is presented for effective decision-making on distributed energy resource deployment. D-STATCOM and wind DG integrations led to notable reductions in power loss and pollutant emissions, highlighting their effectiveness in improving power quality and reducing reliance on fossil fuels. While wind DG incurred a higher installation cost ($3,100,749.2) compared to D-STATCOM ($90,566.6), it achieved greater yearly power loss cost savings ($69,198 versus $47,619). FEFO’s efficiency in optimization stands out, aiding engineers in making informed decisions for optimizing D-STATCOM and wind-DG integration in the IEEE-33 RDS, ultimately enhancing system performance and cost-effectiveness through proactive planning. The integration of D-STATCOM and wind DG led to a significant improvement in distribution system efficiency, with D-STATCOM reducing real power loss by 28.7% and reactive power loss by 27.8%, while wind DG achieved greater reductions of 41.8% in real power loss and 37.5% in reactive power loss, alongside reductions in pollutant emissions of 1.5% and 2.2%, respectively.
Temperature Dependent Investigation On Two RC Equivalent Circuit Battery Model Bansilal Bairwa, Kiranmayee Jampala, J P Sridhar, D Silas Stephen 2024 15th International Conference on Computing Communication and Networking Technologies Icccnt 2024, 2024 The survey delf into the intricate dynamics of battery behavior nether change temperature conditions, use angstrom comprehensive examination 2RC equivalent circuit battery model. by analyze the relationship between temperature, state of charge (SOC), and voltage feature, the research shed light on the fundamental factor influence battery performance. This probe not lone light the impact of temperature on electrochemical chemical reaction inside the battery merely besides underscore the necessity for effective thermal management scheme to optimize performance and prolong battery life. furthermore, the survey research the deduction of temperature variation on battery thermal profile, identify potential hot spot and hazard that May compromise functionality and safety. The findings supply valuable penetration for engineer and research worker to develop advance thermal management system and compensation algorithm, thereby enhance the dependability and efficiency of battery system, particularly inch demand urban transportation system environment.
Solution for Multi-Objective Reactive Power Optimization problem using Fuzzified Particle Swarm Optimization algorithm International Review of Electrical Engineering, 2012
RECENT SCHOLAR PUBLICATIONS
Integrated ATC enhancement and load growth forecasting via WOA-based optimal DSTATCOM placement SSDSR Arumuga Babu M, Anbuchandran S Scientific Reports volume 16 (10727) , 2026 2026
Dynamic voltage regulation in DC microgrids using super-twisting sliding mode controllers S Anbuchandran, M Arumuga babu, DS Stephen, M Thinakaran Electrical Engineering 107 (11), 14205-14227 , 2025 2025 Citations: 7
Visual Question Answering Model Using Transformer-Based Multi-Head Cross Attention Network with Optimized Gold Rush Octave Convolution Network J Jinu Sophia, T Prem Jacob, D Silas Stephen International Journal of Image and Graphics, 2750077 , 2025 2025
Energy Harvesting from Ambient Vibrations Using Piezoelectric Materials: A Sustainable Approach To Powering Iot Devices ASALGGG K.B. Anusha, Dr. Kantilal Rane, Silas Stephen D, Nandini K, V ... International Journal of Environmental Sciences 11 (23s), 10-18 , 2025 2025
Electric Vehicles and Their Environmental Im-pact: A Lifecycle Assessment SSD Janani M, Preethi G, Keerthika A, Jayashree H TIJER – INTERNATIONAL RESEARCH JOURNAL 12 (5), 298-303 , 2025 2025
Design and Development of an AI-Enhanced Foldable Electric Tricycle for Smart Mobility PRG D. Silas Stephen, Adnan. A, Nithish Sai. D TIJER – INTERNATIONAL RESEARCH JOURNAL 12 (5), 1108-1116 , 2025 2025
INNOVATIONS IN ELECTRIC VEHICLE POWERTRAINS: A COMPAREATIVE ANALYSIS SSD Haritha Ravishankar, R.Asmitha, Bavashree.K, Nivedha B A TIJER – INTERNATIONAL RESEARCH JOURNAL 12 (5), 1278-1283 , 2025 2025
e-Prime-Advances in Electrical Engineering, Electronics and Energy S Anbuchandran, DS Stephen, MA Babu, A Bhuvanesh e-Prime - Advances in Electrical Engineering, Electronics and Energy 10, 1-10 , 2024 2024
MIWO based MPPT of PV system for induction motor driven water pumping system S Anbuchandran, DS Stephen, MA Babu, A Bhuvanesh e-Prime-Advances in Electrical Engineering, Electronics and Energy 10, 100835 , 2024 2024 Citations: 5
DC microgrid for EV charging station with EV control by using STSM controllers MT S Anbuchandran, M Arumuga Babu, D Silas Stephen Engineering Research Express 6 (4), 1-18 , 2024 2024 Citations: 10
A hybrid optimization for distributed generation and D-STATCOM placement in radial distribution network: a multi-faceted evaluation SSDTM Anbuchandran S, Arumuga Babu M Engineering Research Express 6 (3), 1-14 , 2024 2024 Citations: 15
DYNAMIC OPPORTUNISTIC NETWORKING FOR CROWDSOURCED WASTE MANAGEMENT AND POLLUTION CONTROL S KIRUBAKARAN, AB NADAF, VSP SUMITHA, K ARULRAJAN, ... Journal of Environmental Protection and Ecology 25 (4), 1041-1050 , 2024 2024
Trends, Innovations And Development In Electric Vehicles SSD Haripriya.B, Nithyasri.V.G, Rakshana.R, Santhanavalli.V TIJER - INTERNATIONAL RESEARCH JOURNAL 11 (7), 777-783 , 2024 2024
Battery Management System Using Machine Learning SSD Gokul Raj U, Gokul S, Dhivaakar M V, Gaushik G S TIJER - INTERNATIONAL RESEARCH JOURNAL 11 (7), 639-342 , 2024 2024
A Synopsis of Electric Vehicle in India SSD Akash V, Hariprasath S, Hilton R, Praveen Raj D TIJER - INTERNATIONAL RESEARCH JOURNAL 11 (7), 508-518 , 2024 2024
Enhancing Electric Vehicle Performance using Artificial Intelligence SSD Adnan. A, Madhesh M, Hari Krishnan R TIJER - INTERNATIONAL RESEARCH JOURNALS 11 (7), 505-507 , 2024 2024
Safety in Electric Vehicle Battery in India SSD Jeslin,J, Sudharson, Rithesh K, Harish C TIJER 11 (7), 475-478 , 2024 2024
Voice based Wheel Chair for the Paralysed RKU Silas Stephen D, Raja Sekar K,Rajan Navin,Krishna TIJER - INTERNATIONAL RESEARCH JOURNAL 11 (2), 949-952 , 2024 2024
Hybrid method based energy management of electric vehicles using battery-super capacitor energy storage OA AlKawak, JRR Kumar, SS Daniel, CVK Reddy Journal of Energy Storage 77, 109835 , 2024 2024 Citations: 93
Temperature Variation Modelling in Mushroom Growing Hall with IAN-Bidirectional GRU Model MJ D. Kalpanadevi, S. N. Devi, Silas Stephen D, S. Jadhav, P. M. D. Ali Khan 4th International Conference on Sustainable Expert Systems (ICSES), 1050 , 2024 2024
MOST CITED SCHOLAR PUBLICATIONS
Hybrid method based energy management of electric vehicles using battery-super capacitor energy storage OA AlKawak, JRR Kumar, SS Daniel, CVK Reddy Journal of Energy Storage 77, 109835 , 2024 2024 Citations: 93
Solution for multi-objective reactive power optimization using fuzzy guided tabu search D Silas Stephen, P Somasundaram Arabian Journal for Science and Engineering 37 (8), 2231-2241 , 2012 2012 Citations: 22
A hybrid optimization for distributed generation and D-STATCOM placement in radial distribution network: a multi-faceted evaluation SSDTM Anbuchandran S, Arumuga Babu M Engineering Research Express 6 (3), 1-14 , 2024 2024 Citations: 15
Machine learning Approach to Battery Management and Balancing Techniques for Enhancing Electric Vehicle Battery Performance APCR Basavaraju Bennehalli, Lavakush Singh, Silas Stephen D, P. Venkata ... Journal of Electrical Systems 20 (2S), 885-892 , 2024 2024 Citations: 13
ANFIS Controller Based Speed Control of High-Speed BLDC Motor Drive AS T Muthamizhan, D Silas Stephen Intelligent Systems and Computer Technology 37, 341 , 2020 2020 Citations: 11
DC microgrid for EV charging station with EV control by using STSM controllers MT S Anbuchandran, M Arumuga Babu, D Silas Stephen Engineering Research Express 6 (4), 1-18 , 2024 2024 Citations: 10
Power flow study of a power system with distributed generators S Anbuchandran, R Rengaraj, DS Stephen, MA Babu NeuroQuantology 20 (10), 9001 , 2022 2022 Citations: 9
Load frequency control of hybrid hydro systems using tuned PID controller and fuzzy logic controller S Stephan International Journal of Engineering Research and Development 5 , 2016 2016 Citations: 8
Dynamic voltage regulation in DC microgrids using super-twisting sliding mode controllers S Anbuchandran, M Arumuga babu, DS Stephen, M Thinakaran Electrical Engineering 107 (11), 14205-14227 , 2025 2025 Citations: 7
MIWO based MPPT of PV system for induction motor driven water pumping system S Anbuchandran, DS Stephen, MA Babu, A Bhuvanesh e-Prime-Advances in Electrical Engineering, Electronics and Energy 10, 100835 , 2024 2024 Citations: 5
Fuzzy based stochastic algorithms for multi-objective reactive power optimization including FACTS devices DS Stephen, P Somasundaram International Journal on Electrical Engineering and Informatics 4 (2), 245 , 2012 2012 Citations: 5
Temperature Dependent Investigation On Two RC Equivalent Circuit Battery Model DSS B. Bairwa, K. Jampala, J. P. Sridhar 2024 15th International Conference on Computing Communication and Networking … , 2024 2024 Citations: 2
A Study on the Impact of DC Appliances and Direct DC Power System in India D Silas Stephen, T Muthamizhan, J Sophia J Distributed Computing and Optimization Techniques: Select Proceedings of … , 2022 2022 Citations: 2
PSO and BFO for LFC OF TWO AREA HYBRID WIND SYSTEM WITH V2G DS Stephen, YM Jagadeesh, R Monish, S Karthik, S Akilesh International Journal of Advanced Research Trends in Engineering and … , 2016 2016 Citations: 2
A Novel Maximum Power Point Tracking Based on Whale Optimization Algorithm for Hybrid System C Kothai Andal, R Jayapal, D Silas Stephen International Conference on Emerging Current Trends in Computing and Expert … , 2019 2019 Citations: 1
Solution for Multi-Objective Reactive Power Optimization Problem Using Fuzzified Particle Swarm Optimization Algorithm DS Stephen, MD Raj, P Somasundaram International Review of Electrical Engineering 7 (1), 3486-3494 , 2012 2012 Citations: 1
Fuzzy Mutated Evolutionary Programming Based Algorithm for Multi-Objective Reactive Power Optimization DS Stephen, P Somasundaram International Journal of Electrical Engineering 3 (3), 137 , 2010 2010 Citations: 1
Integrated ATC enhancement and load growth forecasting via WOA-based optimal DSTATCOM placement SSDSR Arumuga Babu M, Anbuchandran S Scientific Reports volume 16 (10727) , 2026 2026
Visual Question Answering Model Using Transformer-Based Multi-Head Cross Attention Network with Optimized Gold Rush Octave Convolution Network J Jinu Sophia, T Prem Jacob, D Silas Stephen International Journal of Image and Graphics, 2750077 , 2025 2025
Energy Harvesting from Ambient Vibrations Using Piezoelectric Materials: A Sustainable Approach To Powering Iot Devices ASALGGG K.B. Anusha, Dr. Kantilal Rane, Silas Stephen D, Nandini K, V ... International Journal of Environmental Sciences 11 (23s), 10-18 , 2025 2025
