Silas Stephen D

@panimalar.ac.in

Professor
Panimalar Engineering College



              

https://researchid.co/silasstephen

RESEARCH INTERESTS

Power System Engineering, Power System Optimization, Micro-Grid, Electric Vehicle Technology, Renewable Energy

14

Scopus Publications

94

Scholar Citations

5

Scholar h-index

2

Scholar i10-index

Scopus Publications

  • DC microgrid for EV charging station with EV control by using STSM controllers
    S Anbuchandran, M Arumuga Babu, D Silas Stephen, and M Thinakaran
    IOP Publishing
    Abstract 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).

  • MIWO based MPPT of PV system for induction motor driven water pumping system
    S. Anbuchandran, D. Silas Stephen, M. Arumuga Babu, and A. Bhuvanesh
    Elsevier BV

  • 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, and Thinakaran M
    IOP Publishing
    Abstract 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.

  • Hybrid method based energy management of electric vehicles using battery-super capacitor energy storage
    Omar A. AlKawak, Jambi Ratna Raja Kumar, Silas Stephen Daniel, and Chinthalacheruvu Venkata Krishna Reddy
    Elsevier BV

  • Temperature Variation Modelling in Mushroom Growing Hall with IAN-Bidirectional GRU Model
    D. Kalpanadevi, S. Nandhini Devi, Silas Stephen D, Sunita Jadhav, P M D Ali Khan, and Muralidharan J
    IEEE
    Modern developments in computing and electronics have made intelligent systems suitable for use in the mechanization of agricultural processes. This proposed used multilayered perceptron and radial basis function networks to forecast the temperature shifts in the mushroom cultivation chamber based on independent variables including water temperature, ambient temperature, water tap, fresh air and circulation air dampers, and water tap. Preprocessing, feature extraction, and training the model are the three phases that comprise this proposed method. Reflectance calibration, normalization, and spectral smoothing are the steps involved in data preprocessing. Feature extraction made quick work of extracting information from mushroom photos by employing the SIFT algorithm. The proposed model was trained using an IAN-Bidirectional GRU. When compared to more conventional approaches, the proposed methodology is superior. The method's application resulted in a 93.75% improvement in accuracy.

  • Temperature Dependent Investigation On Two RC Equivalent Circuit Battery Model
    Bansilal Bairwa, Kiranmayee Jampala, J P Sridhar, and D Silas Stephen
    IEEE
    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.

  • DYNAMIC OPPORTUNISTIC NETWORKING FOR CROWD-SOURCED WASTE MANAGEMENT AND POLLUTION CONTROL



  • A Study on the Impact of DC Appliances and Direct DC Power System in India
    D. Silas Stephen, T. Muthamizhan, and Jinu Sophia J
    Springer Nature Singapore

  • ANFIS controller based speed control of high-speed BLDC motor drive
    T. Muthamizhan, D. Silas Stephen, and A. Sivakumar
    IOS Press
    The paper aims to define the speed control of Brushless DC Motor (BLDC) drive using an Adaptive Neuro Fuzzy Interface System (ANFIS) controller. ANFIS controller-based switching scheme reduces the power quality issues present in the system by minimizing the Total Harmonic Distortion (THD). Incremental conductance algorithm-based control technique for the Maximum Power Point Tracking (MPPT) in variable solar irradiation conditions for photovoltaic (PV) system is proposed. INC algorithm are used to operate the photovoltaic panels at maximum power, by generating PWM pulse to control the flyback converters in differential power processing mode. BLDC motor drive is electronically commutated by means of switching logical pulses from the rotor position sensor using PI controllers. The simulation shows the significance and robustness of BLDC drive and the results offered illustrates the intended control is effective, with fast responseandminimum settling times.

  • A Novel Maximum Power Point Tracking Based on Whale Optimization Algorithm for Hybrid System
    C. Kothai Andal, R. Jayapal, and D. Silas Stephen
    Lecture Notes on Data Engineering and Communications Technologies Springer International Publishing

  • Solution for Multi-Objective Reactive Power Optimization Using Fuzzy Guided Tabu Search
    D. Silas Stephen and P. Somasundaram
    Springer Science and Business Media LLC

  • Fuzzy based stochastic algorithms for multi-objective reactive power optimization including FACTS devices
    D Silas Stephen, , P Somasundaram, and
    School of Electrical Engineering and Informatics (STEI) ITB
    Fuzzy based stochastic algorithms for solving Multi-objective Reactive Power Optimization (MORPO) problem including FACTS devices is presented in this paper. The Multi-Objective Reactive Power Optimization problem is formulated as a nonlinear constrained multi-objective optimization problem where the active power, voltage deviation and investment cost has to be minimized simultaneously. Fuzzy logic strategy incorporated with Evolutionary Programming (EP), Tabu search (TS) algorithms and Particle Swarm Optimization (PSO) has been proposed to handle the problem as a true multi-objective problem. The proposed algorithm has been used to solve the MORP problem with and without FACTS devices namely STATCOM, TCSC and UPFC.IEEE 30-bus system is used as a test system. The simulation results are promising and show the effectiveness and robustness of the proposed approach.

  • Solution for Multi-Objective Reactive Power Optimization problem using Fuzzified Particle Swarm Optimization algorithm


RECENT SCHOLAR PUBLICATIONS

  • 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

  • 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

  • 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

  • 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

  • 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

  • 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

  • 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

  • Enhancing Electric Vehicle Performance using Artificial Intelligence
    SSD Adnan. A, Madhesh M, Hari Krishnan R
    TIJER - INTERNATIONAL RESEARCH JOURNALS 11 (7), 505-507 2024

  • Safety in Electric Vehicle Battery in India
    SSD Jeslin,J, Sudharson, Rithesh K, Harish C
    TIJER 11 (7), 475-478 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

  • 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

  • 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

  • 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

  • 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 ...
    J. Electrical Systems 20 (2S), 885-892 2024

  • Implementation of Impedance Type Multimode Tandem Photovoltaic DC Booster Converter for Electric Vehicles
    YSK Osman, P Hemachandu, S Prabhu, DS Stephen, N Goe, R Subbiah
    International Journal of Vehicle Structures & Systems 15 (4), 484-490 2023

  • 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

  • Development of Infusion Device Analyzer Equipped with Occlusion Detectionand a Real-Time Parameters Monitoring on Computer System
    DSS Anita Miftahul Maghfiroh,Nina Havilda
    Jurnal Teknokes 15 (1), 21-27 2022

  • Power flow study of a power system with distributed generators
    S Anbuchandran, R Rengaraj, DS Stephen, MA Babu
    NeuroQuantology 20 (10), 9001 2022

  • Analyzing the Stability Limit of Distribution Lines with Distributed Generation Using a Novel Voltage Stability Indicator
    JJS Dr. P.SUNDARARAMAN, Dr. D. SILAS STEPHEN
    Strad Research 8 (10), 39-51 2021

  • 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

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
    Citations: 43

  • Solution for multi-objective reactive power optimization using fuzzy guided tabu search
    D Silas Stephen, P Somasundaram
    Arabian Journal for Science and Engineering 37, 2231-2241 2012
    Citations: 20

  • 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
    Citations: 8

  • Power flow study of a power system with distributed generators
    S Anbuchandran, R Rengaraj, DS Stephen, MA Babu
    NeuroQuantology 20 (10), 9001 2022
    Citations: 7

  • 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
    Citations: 7

  • 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 ...
    J. Electrical Systems 20 (2S), 885-892 2024
    Citations: 4

  • 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
    Citations: 4

  • 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
    Citations: 1