Electrical and Electronic Engineering, Control and Systems Engineering, Renewable Energy, Sustainability and the Environment
21
Scopus Publications
122
Scholar Citations
6
Scholar h-index
4
Scholar i10-index
Scopus Publications
Comparative Assessment and Benchmarking of Metaheuristic Algorithms for Dynamic Photovoltaic Array Reconfiguration Under Diverse Shading Environments Manoharan Premkumar, Ravichandran Sowmya, Jagarapu S. V. Siva Kumar, Mustafa Abdullah Energy Science and Engineering, 2026 The solar photovoltaic (PV) installations, which are essential for renewable energy systems, are vulnerable to partial shading, resulting in considerable power losses and operational inefficiencies. The dynamic reconfiguration of PV arrays has become an effective strategy to mitigate these effects by adaptively modifying the array topology to optimize power output. This paper presents a detailed comparative analysis of dynamic PV array reconfigurations for a 6 × 6 total‐cross‐tied array under various operating conditions. The comparative analysis includes 10 recent metaheuristics that have shown performance in complex optimization problems across different domains. The proposed methodology assesses the effectiveness of each algorithm in identifying optimal reconfiguration patterns, enhancing power extraction, and reducing mismatch losses across both uniform and multiple partial shading conditions. Simulation results prove the strengths and robustness of each algorithm, providing detailed insights into their appropriateness for real‐time adaptive PV systems. The findings clarify the potential of metaheuristic‐driven dynamic reconfigurations to improve PV system performance and establish a basis for choosing the most effective algorithmic approach in practical applications.
Electricity Generation Designs From Ocean Vertical Wave Motions: A Review JSV Siva Kumar, Hemanthakumar Chappa Ssrg International Journal of Electrical and Electronics Engineering, 2025 The increasing demand for clean, sustainable energy sources has driven research into innovative technologies that minimize environmental impact while fulfilling global energy needs. This study investigates the viability of harnessing ocean wave motion as a sustainable electricity source. Wave energy, abundant across approximately 71% of the Earth's surface, presents a largely untapped potential. This work identifies their respective effectiveness, scalability, and environmental implications through a comparative analysis of various wave energy conversion methods—including oscillating water columns, point absorbers, and attenuators. Key findings reveal that point absorbers offer greater efficiency in energy capture while oscillating water columns demonstrate superior environmental compatibility. Challenges such as geographical variability of wave resources, irregular wave patterns, and grid integration complexities are highlighted as critical factors for practical deployment. Overall, the study confirms that ocean wave energy holds significant promise as a renewable resource, provided that technological and infrastructural hurdles are addressed. This paper comprehensively reviews ocean vertical wave motion-based electricity generation, examining primary wave energy converter (WEC) technologies such as oscillating water columns, point absorbers, and attenuators. Key findings highlight the transverse flux permanent magnet generator's superior performance, potential power outputs of up to 90% operational time, and ecological benefits. The paper outlines selection criteria for WECs' comparative generator performance and proposes future directions for hybrid integration and optimized control strategies.
Electrical Equivalent Circuit Parameter Estimation of Commercial Induction Machines Using an Enhanced Grey Wolf Optimization Algorithm Premkumar Manoharan, Sowmya Ravichandran, Jagarapu S. V. Siva Kumar, Mustafa Abdullah, Tan Ching Sin, Tengku Juhana Tengku Hashim Biomimetics, 2025 This paper addresses the critical challenge of optimizing the energy efficiency of induction motors, which are pivotal components across diverse industrial sectors due to their substantial energy consumption. Given the non-measurable internal parameters of induction motors, parameter identification becomes a complex, multidimensional optimization problem characterized by highly nonlinear and multimodal error surfaces. Traditional optimization algorithms often weaken, yielding suboptimal results due to an inadequate balance between the exploration and exploitation phases. To overcome these limitations, this study introduces an Adaptive Weight Grey Wolf Optimizer (AWGWO) to enhance the accuracy and reliability of induction motor parameter estimation. The AWGWO incorporates an adaptive weight mechanism that dynamically adjusts the exploration and exploitation balance, effectively mitigating issues such as premature convergence to local optima. Extensive simulation validation was conducted across various induction motor models, including eight commercial motors, and demonstrated that AWGWO consistently outperforms state-of-the-art algorithms in terms of convergence speed, solution accuracy, and robustness in multimodal optimization landscapes. The AWGWO consistently exhibited faster convergence, significantly reducing premature convergence. Moreover, the adaptive weight mechanism enabled a more effective balance between exploration and exploitation, leading to higher accuracy in parameter estimation. Comparative analyses reveal that AWGWO outperforms existing algorithms not only in achieving lower error rates, but also in maintaining stability. This study significantly contributes to progress in the field by providing an effective tool for induction motor parameterization, thereby offering potential improvements in energy efficiency.
A Digital Twin Driven IoT Architecture for Enhanced xEV Performance Monitoring J. S. V. Siva Kumar, Mahmad Mustafa, Sk. M. Unnisha Begum, Badugu Suresh, Rajanand Patnaik Narasipuram Energy Engineering Journal of the Association of Energy Engineering, 2025 Electric vehicle (EV) monitoring systems commonly depend on IoT-based sensor measurements to track key performance parameters such as vehicle speed, state of charge (SoC), battery temperature, power consumption, motor RPM, and regenerative braking. While these systems enable real-time data acquisition, they are often hindered by sensor noise, communication delays, and measurement uncertainties, which compromise their reliability for critical decision-making. To overcome these limitations, this study introduces a comparative framework that integrates reference signals, a digital twin model emulating ideal system behavior, and real-time IoT measurements. The digital twin provides a predictive and noise-resilient representation of EV dynamics, enabling enhanced monitoring accuracy. Six critical parameters are evaluated using root mean square error (RMSE), mean absolute error (MAE), maximum deviation, and correlation coefficient (R2). Results show that the digital twin significantly improves estimation fidelity, with RMSE for speed reduced from 2.5 km/h (IoT) to 1.2 km/h and R2 values generally exceeding 0.99, except for regenerative braking which achieved 0.982. These findings demonstrate the framework’s effectiveness in improving operational safety, energy management, and system reliability, offering a robust foundation for future advancements in adaptive calibration, predictive analytics, and fault detection in EV systems.
A Comprehensive Examination of the Protocols, Technologies, and Safety Requirements for Electric Vehicle Charging Infrastructure Babji Bommana, J. S. V. Siva Kumar, Ramakrishna S. S. Nuvvula, Polamarasetty P. Kumar, Baseem Khan, Suresh Muthusamy, Ravikiran Inapakurthi Journal of Advanced Transportation, 2023 Electric vehicles (EVs) have various advantages over traditional internal combustion engines (ICEs), including reduced carbon emissions, greater energy efficiency, and a lessened reliance on petroleum supplies. The use of EV charging infrastructure and power levels are reviewed in this article. Battery performance is affected by the design of the battery as well as the charger parameters and infrastructure. In this paper, the off-board and on-board charging methods with bidirectional and unidirectional power flow are compared. Hardware restrictions and connectivity concerns are eased with a unidirectional charger. The bidirectional charger enables both battery energy injection back into the grid and the vehicle. Power is constrained by the onboard charger due to its size, weight, and price. Both conductive and inductive onboard chargers are viable. For high current rates, which are not supported by EVs, it is feasible to develop an off-board charger. The time required for charging, amount of power, cost, equipment, location, infrastructure configurations, and other parameters are provided, compared, and reviewed for different power level chargers, such as level-1 (slow), level-2 (semi-fast), and level-3 (fast).
A New and Reliable Objective Functions for Extracting the Unknown Parameters of Solar Photovoltaic Cell Using Political Optimizer Algorithm M. Premkumar, R. Sowmya, Pradeep Jangir, J. S. V. Siva Kumar 2020 International Conference on Data Analytics for Business and Industry Way Towards A Sustainable Economy Icdabi 2020, 2020 The primary issue in the design of photovoltaic (PV) systems is the availability of an exact PV model, and it emulates the PV cell behaviour. The precision of the PV model is based mainly on objective functions and optimization techniques. Based on this statement, this paper discusses two different objective functions to identify the unknown parameters of the solar cell using a novel Political Optimizer (PO) algorithm. The experimental values of the RTC France PV cell under 33°C and 1000 W/m <sup xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">2</sup> environmental condition are considered to identify the unknown parameters of the single-diode model (SDM) and double-diode model (DDM). The ohmic resistances are neglected in forming the first objective function to reduce the computation time, whereas, the ohmic resistance is considered in forming second objective function to increase the accuracy. The simulation results are presented for the PO algorithm, and the performance comparison is made among Grey Wolf Optimizer (GWO) and Harris Hawk Optimizer (HHO) with the PO algorithm. The PO algorithm confirms the accurate result and delivers an improved illustration for the PV cell experimental data.
Design and simulation of a current fed full bridge voltage Doubler converter with high voltage gain for fuel cell based electric vehicle Journal of Advanced Research in Dynamical and Control Systems, 2017
Design and simulation of DC-DC converter with high voltage gain for fuel cell based vehicles International Journal of Mechanical Engineering and Technology, 2017
Performance analysis of PID controller and sliding mode control for electric vehicle applications in interleaved double boost converter JSVS Kumar, P Mallikarjuna Rao Intelligent Computing in Control and Communication: Proceeding of the First … , 2021 2021 Citations: 4
A new and reliable objective functions for extracting the unknown parameters of solar photovoltaic cell using political optimizer algorithm M Premkumar, R Sowmya, P Jangir, JSVS Kumar 2020 international conference on data analytics for business and industry … , 2020 2020 Citations: 31
Design and simulation of High Voltage Gain current fed full-bridge voltage doubler Converter Fed Multilevel Inverter for Fuel Cell Powered Electric Vehicle JSVS Kumar, KMK Reddy, M Premkumar, PM Rao International Journal 8 (9) , 2020 2020 Citations: 1
Performance evaluation of sliding mode and linear quadratic regulator (LQR) control in interleaved double dual boost converter for electric vehicle applications JSVS Kumar, PM Rao ICIC Exp. Lett., B, Appl. 11 (8), 781-790 , 2020 2020 Citations: 5
Performance Evaluation of Sliding Mode and LQR Control in Interleaved Double Dual Boost Converter for Electric Vehicle Applications PMR J. S. V. Siva Kumar Innovative Computing, Information and Control Express Letters, Part B … , 2020 2020
Sliding Mode Control of Interleaved Double Dual Boost Converter for Electrical Vehicles and Renewable Energy Conversion PMR J. S. V. Siva Kumar Innovative Computing, Information and Control Express Letters 14 (2), 179-188 , 2020 2020 Citations: 8
Speed Control of Fuel Cell Driven PMSM Using LQR Control Based IDDB Converter PMR J. S. V. Siva Kumar International Journal of Scientific & Technology Research 9 (1), 4288-4292 , 2020 2020
LQR control of interleaved double dual boost converter for electrical vehicles and renewable energy conversion PMR • J. S. V. Siva Kumar Indonesian Journal of Electrical Engineering and Computer Science 16 (3 … , 2019 2019 Citations: 3
Speed Control of IDDB and SVPWM Controlled PMSM Motor in Fuel Cell Based Electrical Vehicle PMR J.S.V.Siva Kumar International Journal of Engineering and Advanced Technology 8 (6), 1245-1251 , 2019 2019
Design and Simulation of DC-DC Converter For Fuel Cell Based Electric Vehicle With Closed loop operation PMR J.S.V.Siva Kumar Springer International Conference on Soft Computing in Data Analytics , 2018 2018 Citations: 2
Design and simulation of front end converter for fuel cell based electric vehicle applications JSVS Kumar, PM Rao 2017 IEEE International Conference on Power, Control, Signals and … , 2017 2017 Citations: 2
Design of a front-end DC-DC converter for a permanent magnet DC motor using fuzzy gain scheduling D Potnuru, JSVS Kumar 2017 IEEE International Conference on Power, Control, Signals and … , 2017 2017 Citations: 11
Design of Hybrid Dc/Dc Step-Up Converter with High Voltage Gain for Fuel Cell Based Electric Vehicle Applications HK Karri, SKSV Jagarapu 2016
Design and Simulation of Dc-Dc Converter for Fuel Cell Operated Vehicle with Single Reference Six Pulse Modulation V Chaitanya, JSV Kumar International Journal of Engineering Research 4 (10), 534-538 , 2015 2015
Model reference adaptive control based parameters estimation of permanent magnet synchronous motor drive VD Keerthi, J Kumar Int J Appl or Innov Eng Manag 2 (8), 267-275 , 2013 2013 Citations: 2
Estimation of parameter for induction motor drive YJ Sumith, SV Siva Kumar IEEE Trans. Ind. Appl 2, 1668-1674 , 2012 2012 Citations: 4
Model reference adaptive controller-based speed and q-axis inductance estimation for Permanent Magnet Synchronous Motor drive by utilizing reactive power JSVS Kumar, PS Kumar, M Rambabu 2011 International Conference on Energy, Automation and Signal, 1-6 , 2011 2011 Citations: 20
Construction project management NJ Kumar, M Rambabu Theory and practice , 2011 2011 Citations: 6
Model reference adaptive controlled application to the vector controlled permanent magnet synchronous motor drive P SaiKumar, JSV SivaKumar International Journal Of Power System Operation and Energy Management … , 2011 2011 Citations: 9
Fuzzy modeling for electrical discharge machining of AISI 304 stainless steel RP Srinivasa, B Reddy Sidda, JS Kumar, KVK Reddy Journal of Applied Sciences Research 6 (11), 1687-1700 , 2010 2010 Citations: 14
MOST CITED SCHOLAR PUBLICATIONS
A new and reliable objective functions for extracting the unknown parameters of solar photovoltaic cell using political optimizer algorithm M Premkumar, R Sowmya, P Jangir, JSVS Kumar 2020 international conference on data analytics for business and industry … , 2020 2020 Citations: 31
Model reference adaptive controller-based speed and q-axis inductance estimation for Permanent Magnet Synchronous Motor drive by utilizing reactive power JSVS Kumar, PS Kumar, M Rambabu 2011 International Conference on Energy, Automation and Signal, 1-6 , 2011 2011 Citations: 20
Fuzzy modeling for electrical discharge machining of AISI 304 stainless steel RP Srinivasa, B Reddy Sidda, JS Kumar, KVK Reddy Journal of Applied Sciences Research 6 (11), 1687-1700 , 2010 2010 Citations: 14
Design of a front-end DC-DC converter for a permanent magnet DC motor using fuzzy gain scheduling D Potnuru, JSVS Kumar 2017 IEEE International Conference on Power, Control, Signals and … , 2017 2017 Citations: 11
Model reference adaptive controlled application to the vector controlled permanent magnet synchronous motor drive P SaiKumar, JSV SivaKumar International Journal Of Power System Operation and Energy Management … , 2011 2011 Citations: 9
Sliding Mode Control of Interleaved Double Dual Boost Converter for Electrical Vehicles and Renewable Energy Conversion PMR J. S. V. Siva Kumar Innovative Computing, Information and Control Express Letters 14 (2), 179-188 , 2020 2020 Citations: 8
Construction project management NJ Kumar, M Rambabu Theory and practice , 2011 2011 Citations: 6
Performance evaluation of sliding mode and linear quadratic regulator (LQR) control in interleaved double dual boost converter for electric vehicle applications JSVS Kumar, PM Rao ICIC Exp. Lett., B, Appl. 11 (8), 781-790 , 2020 2020 Citations: 5
Performance analysis of PID controller and sliding mode control for electric vehicle applications in interleaved double boost converter JSVS Kumar, P Mallikarjuna Rao Intelligent Computing in Control and Communication: Proceeding of the First … , 2021 2021 Citations: 4
Estimation of parameter for induction motor drive YJ Sumith, SV Siva Kumar IEEE Trans. Ind. Appl 2, 1668-1674 , 2012 2012 Citations: 4
LQR control of interleaved double dual boost converter for electrical vehicles and renewable energy conversion PMR • J. S. V. Siva Kumar Indonesian Journal of Electrical Engineering and Computer Science 16 (3 … , 2019 2019 Citations: 3
Design and Simulation of DC-DC Converter For Fuel Cell Based Electric Vehicle With Closed loop operation PMR J.S.V.Siva Kumar Springer International Conference on Soft Computing in Data Analytics , 2018 2018 Citations: 2
Design and simulation of front end converter for fuel cell based electric vehicle applications JSVS Kumar, PM Rao 2017 IEEE International Conference on Power, Control, Signals and … , 2017 2017 Citations: 2
Model reference adaptive control based parameters estimation of permanent magnet synchronous motor drive VD Keerthi, J Kumar Int J Appl or Innov Eng Manag 2 (8), 267-275 , 2013 2013 Citations: 2
Design and simulation of High Voltage Gain current fed full-bridge voltage doubler Converter Fed Multilevel Inverter for Fuel Cell Powered Electric Vehicle JSVS Kumar, KMK Reddy, M Premkumar, PM Rao International Journal 8 (9) , 2020 2020 Citations: 1
Performance Evaluation of Sliding Mode and LQR Control in Interleaved Double Dual Boost Converter for Electric Vehicle Applications PMR J. S. V. Siva Kumar Innovative Computing, Information and Control Express Letters, Part B … , 2020 2020
Speed Control of Fuel Cell Driven PMSM Using LQR Control Based IDDB Converter PMR J. S. V. Siva Kumar International Journal of Scientific & Technology Research 9 (1), 4288-4292 , 2020 2020
Speed Control of IDDB and SVPWM Controlled PMSM Motor in Fuel Cell Based Electrical Vehicle PMR J.S.V.Siva Kumar International Journal of Engineering and Advanced Technology 8 (6), 1245-1251 , 2019 2019
Design of Hybrid Dc/Dc Step-Up Converter with High Voltage Gain for Fuel Cell Based Electric Vehicle Applications HK Karri, SKSV Jagarapu 2016
Design and Simulation of Dc-Dc Converter for Fuel Cell Operated Vehicle with Single Reference Six Pulse Modulation V Chaitanya, JSV Kumar International Journal of Engineering Research 4 (10), 534-538 , 2015 2015
