SUNDAR R

@sonatech.ac.in

Assistant Professor and Electrical and Electronics Engineering
Sona College of Technology

SUNDAR R


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https://researchid.co/sundarchitra93

RESEARCH, TEACHING, or OTHER INTERESTS

Engineering, Renewable Energy, Sustainability and the Environment, Decision Sciences
16

Scopus Publications

96

Scholar Citations

3

Scholar h-index

1

Scholar i10-index

Scopus Publications

  • Distributed generation and shunt capacitor allocation in radial distribution power networks using a hybrid optimization approach
    R. Sundar, D. Ashokaraju, T. Dharmaraj, D. Thangaraj, P. Sabarish, P. Rajakumar, Eric Sylvester Mwanandiye
    Scientific Reports, 2026
    This article proposes a new hybrid approach for determining the optimal locations and sizes of distributed generation (DG) and shunt capacitor (SC) units in a radial distribution power network (RPDN). The hybrid framework is introduced, integrating the global search competency of the Whale Optimizer Algorithm (WOA) with the local search proficiency of the Osprey Optimizer Algorithm (OOA) to achieve a better quality solution for the simultaneous DG/SC allocation problem. The hybrid technique assesses its efficacy for different combinations of DG and SC unit allocations on the different-sized RDPNs, including 33-bus, 69-bus, and 118-bus benchmark systems. The optimization problem is solved for single- and multi-objective functions addressing active power loss (APL) reduction, bus voltage (BV) improvement, and operating cost reduction. For a single unit of DG and SC placement, the APL of the 33-bus RDPN is minimized by 77.29%. In contrast, the second combination involving two units of DG/SC placement achieves a PL reduction of 89.61%. Likewise, the first and second combinations of simultaneous DG/SC integration in the 69-bus RDPN yield 52.67% and 74.97% of APL reduction, respectively. Further, the application of the hybrid algorithm is investigated on the 118-bus RPDN for evaluating its effectiveness and scalability to large power networks. Additionally, for multi-objective problems, the optimized single-unit DG/SC allocation inside the 69-bus RDPN reduces the power losses (PL) by 55.70% and enhances minimum BV to 0.9686 per unit for the operational cost of $15266.78. Moreover, the proposed Hybrid Whale- Osprey Algorithm (HWOA) effectively addressed the load uncertainty in the 69-bus RDPN, minimizing the PL and enhancing the BV above the critical value. The quantitative simulation findings showcase the better PL reduction compared to similar works addressed in the literature, demonstrating the benefits of integrating the exploration and exploitation behaviors of WOA and OOA.
  • A Novel Hybrid Optimization Approach for Allocation of Distributed Generation in Distribution Power Network
    Jarabala Ranga, Vijayakumar G, Rajakumar P, Gopika Venu, Jovin Deglus, Kesavan D, Sundar R
    Iraqi Journal for Electrical and Electronic Engineering, 2026
    This study aims to assimilate distributed generation (DG) unit using a novel hybrid technique to improve the efficiency of electric power distribution networks by minimizing the real power losses (RPL) and enhancing the bus voltages (BV). A hybrid technique has been implemented by combining the features of nature-inspired algorithms namely hunter-prey optimizer (HPO) and ant lion optimizer (ALO) algorithms. The exploitation characteristic of ALO and exploration characteristic of HPO is utilized to optimize single DG in radial distribution power network (DPN). The efficacy of the suggested hybrid optimization technique is validated using MATLAB/Simulink software tool. The proposed hybrid technique was executed to optimize type I and type III DG in a balanced IEEE 69-bus radial DPN. The optimized type I and type III DG placement minimized the real power losses of a test system to 71.23 kW and 20.38 kW, respectively. Additionally, the least bus voltage of the test system improved to 0.9776p.u and 0.9843p.u following type I and type III DG allocation. The optimized allocation of type I DG and type III DG has resulted in 68.34% and 90.94% power loss reduction, respectively and enhanced the minimum bus voltage of the test system by 7.5% and 8.3%, respectively. The efficacy of the proposed hybrid methodology was investigated by relating its simulation outcome with other optimization methodologies present in the literature. The comparative results revealed that the proposed hybrid optimization technique provided better RPL minimization at improved BV than the compared optimization techniques.
  • Hunter-Prey Algorithm Optimized DG Placement for Power Loss Minimization
    M. Senthil Kumar, P. Saravanakumar, R. Sundar, S. Saravanan, A. Sakthidasan, P. Rajakumar
    Lecture Notes in Electrical Engineering, 2026
  • Optimal Assimilation of Distributed Generation in Radial Power Distribution System Using Hybrid Approach
    S K B Pradeepkumar CH, Sakthidasan A, Sundar R, Senthil Kumar M, Rajakumar P, Baburao P
    Iraqi Journal for Electrical and Electronic Engineering, 2025
    The performance of power distribution systems (PDS) has improved greatly in recent times ever since the distributed generation (DG) unit was incorporated in PDS. DG integration effectively cuts down the line power losses (PL) and strengthens the bus voltages (BV) provided the size and place are optimized. Accordingly, in the present work, a hybrid optimization technique is implemented for incorporating a single DG unit into radial PDS. The proposed hybrid method is formed by integrating the active power loss sensitivity (APLS) index and whale optimization meta-heuristic algorithm. The ideal place and size for DG are optimized to minimize total real power losses (TLP) and enhance bus voltages (BV). The applicability of the proposed hybrid technique is analyzed for Type I and Type III DG installation in a balanced IEEE 33-bus and 69-bus radial PDS. Optimal inclusion of type I and III DG in a 33-bus radial test system cut down TLP by 51.85% and 70.02% respectively. Likewise, optimal placement of type I and III DG reduced TLP by 65.18%, and 90.40%, respectively for 69-bus radial PDS. The impact of DG installation on the performance of radial PDS has been analyzed and a comparative study is also presented to examine the sovereignty of the proposed hybrid method. The comparative study report outlined that the proposed hybrid method can be a better choice for solving DG optimization in radial PDS.
  • An Integrated Approach using Loss Sensitivity Factor and Whale Optimization Algorithm for Distributed Generation Allocation
    , Sakthidasan A., Senthil Kumar M., Jovin Deglus, Sabarish P., Rajakumar P., Sundar R.
    International Journal of Information Technology and Computer Science, 2025
    The incorporation of distributed generation (DG) in radial distribution systems (RDS) has recently garnered much attention. The prime goal of DG integration is to generate power locally and cut down the total power losses (PL) of RDS to increase the overall efficiency. The present work suggests a hybrid optimization approach integrating loss sensitivity factor (LSF) with a whale optimization algorithm (WOA) to optimize different categories of DG. The LSF locates the ideal site, and WOA optimizes the size. The present study optimizes DG units to minimize the total active power losses (APLT) and enhance the bus voltages (BV). The present work investigates the adaptability of the proposed integrated technique on the small 33-bus and a large 118-bus RDS. The APLT of the 33-bus RDS is minimized from 210.98 kW to 101.3 kW, 124.3 kW, 64.56 kW, and 86.5 kW for Type I, Type II, Type III, and Type IV DG placements, respectively. Correspondingly, the minimum bus voltage (BVmin) is increased from 0.9038 p.u. to 0.9511 p.u., 0.9503 p.u., 0.9608 p.u., and 0.9579 p.u. Likewise, significant PL reduction and bus voltage enhancement are obtained in 118-bus for three units of Type I and Type III DG placements. Further, the adequateness of the hybrid technique is examined for varying power demand on the IEEE 33-bus RDS. The integrated technique effectively narrows the search space of the optimization problem and helps the WOA to find the optimal solution. The simulation outcomes are compared to examine the sovereignty of the proposed optimization technique.
  • LSF Integrated Hippopotamus Optimizer Algorithm for Single DG Optimization in Radial Distribution Power Network
    R Vinay, Sundar R, M Selvakumari, A Sakthidasan, P Saravanakumar, P Rajakumar
    2025 IEEE 2nd International Conference on Green Industrial Electronics and Sustainable Technologies Giest 2025, 2025
    Distributed generation (DG) allocation provides significant benefits to radial distribution power networks (RDPN) when its size and location are optimally determined. This paper proposes a novel and efficient integrated approach for optimizing the site and rating of a single DG unit to minimize the total real power losses (TRPL) of the RDPN. The proposed method combines the loss sensitivity factor (LSF) with an advanced metaheuristic technique, the Hippopotamus Optimizer Algorithm (HOA). The LSF is first computed to identify a set of potential locations for DG placement, while HOA leverages the unique defense mechanisms and evasion strategies of hippopotamuses to optimize the DG capacity. The effectiveness of the proposed integrated approach is validated on the balanced IEEE 33-bus benchmark RDPN under both nominal and peak load conditions. To further assess robustness, type I and type III DG unit placements are considered.
  • Multi-State Solar Power Generation Model Integrated RBTS Test System for Adequacy Assessment
    S.Vinoth John Prakash, G. Vijayakumar, R Sundar, R. A. Priya, P. Saravanakumar, Vempalle Rafi
    Proceedings 2025 IEEE 1st International Conference on Smart Innovations in Systems Infrastructure Mechanical Power AI and Computing Technologies Sisimpact 2025, 2025
    The Solar system is widely used nowadays to replace the usage of Non renewable power plant like Thermal power station in India due to its pollution. Since the output of Solar system is intermittent, the adequacy of the system accessing is difficult. The Adequacy model was developed for 240 MW Roy Billinton Test System (RBTS). Then a multi-state Solar reliability model is developed to calculate the probability of the resources by considering Forced Outage Rate (FOR) for two location of Solar system (Pavagada and Bhadla solar park) through suitable technique. The solar power system each consist of <tex xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">$8 \text{MW}, 18 \text{MW}, 28 \text{MW}$</tex> and 38 MW. This Solar reliability model is applied to Roy Billinton Test System to evaluate the reliability indices. Finally these reliability indices are evaluated by considering the load data from the RBTS system. The result shows that the reliability increases by including solar power source to RBTS system.
  • Forecast the Energy Demand using Deep Learning Based Long Short-Term Memory
    Sudhakiran Ponnuru, S. Amosedinakaran, P. Vivek, R. Sundar, P. Baburao, M. Dhinakaran
    International Conference on Electrical Energy Systems Icees, 2025
    A specific subset of recurrent neural networks (RNNs), long short-term memory (LSTM) networks have become well-known for their potent time-series prediction capabilities. Complicated dynamic simulation benefits greatly from their capacity to handle the problem of diminishing gradients and successfully represent long-term interdependence in data that is ordered. In order to investigate how well LSTM networks can handle complex spatiotemporal trends, this research employs Tamil Nadu's energy consumption for a specific scenario. The previous-generation a database, which spans 1976–2023, serves as the foundation for the LSTM strategy learning. Through examining the fundamental patterns and fluctuations present in the data at hand, the framework has been found to be a reliable predictor of future electrical use. With a projection scope of 2030, politicians, utility companies, and economic strategists can get important information. The suggested LSTM-based technique's efficiency was successfully verified versus India's National Electricity Plan (NEP), highlighting how well it captures complicated structures and relationships across time. The LSTM methodology is a more precise, effective, and adaptable forecasting of demand solution as contrasted with older approaches. It offers substantial advantages in a number of areas, such as maximizing resource utilization and handling electricity.
  • Performance Realization of Multiple Inductive Active-Cell Balancing Technique for EV Applications
    G Vijayakumar, A Saranya, R Sundar, C Ramkumar, P Rajakumar, Pranav Kumar Rowlo
    2025 IEEE 2nd International Conference on Green Industrial Electronics and Sustainable Technologies Giest 2025, 2025
    Lithium-ion batteries are a crucial component of electric vehicles. It is widely used due to its high energy density and long lifespan. Cell balancing is the process of maintaining uniform voltage levels in each cell of a battery pack to maximize the battery pack’s efficiency. This research paper proposes a multi-inductor-based active cell modelling in which a shared inductor is used for redistributing the energy among cells actively within a battery pack. A 48 V battery consisting of 13 Li-ion cells connected in series, each rated at a nominal voltage of 3.7 V, is to be employed. The imbalances in the voltages of the 13 cells are to be ascertained and rectified using inductor-based active cell balancing. The simulation is demonstrated in MATLAB software, and the simulations were carried out for different State of Charge (SoC) to study the time frame of the cell balancing. The inductor configuration reduces component count, contributing to a simplified, faster, and cost-effective design.
  • MULTI-OBJECTIVE INTEGRATED APPROACH FOR DISTRIBUTED GENERATION PLACEMENT AND SIZING TO ENHANCE PERFORMANCE OF RADIAL POWER DISTRIBUTION SYSTEM
    Jarabala RANGA, Ravi Kumar JALLI, Senthil Kumar MUTHUSAMY, Vijayalakshmi SUNDARESAN, Sundar RAMESH, Rajakumar PALANISAMY, Sakthidasan ARULPRAKASAM
    Advances in Electrical and Electronic Engineering, 2025
  • A novel isolated multi-port interleaved flyback converter operated TPSL-DVR for smallscale distribution system
    Sundar R, Senthil Kumar M
    International Journal of Circuit Theory and Applications, 2024
  • Design and development of photovoltaic solar system based single phase seven level inverter
    Vijayakumar Govindaraj, Sujith Mayakrishnan, Shanmugasundaram Venkatarajan, Raja Raman, Ramesh Sundar
    Bulletin of Electrical Engineering and Informatics, 2024
  • Jellyfish search optimizer algorithm based multiple distributed generation placements
    Ramesh, Sundar, Govindaraj, Vijayakumar, Santhosh, Soumya, Tholkappian, Ilakkia, Sumathi Rajaram, Sachin, et al.
    Majlesi Journal of Electrical Engineering, 2024
  • Performance of Fuzzy MPPT for a Distributed Photovoltaic System Under Changing Environmental Condition
    P. Rajakumar, M. Senthil Kumar, A. Sakthidasan, R. Sundar, Baburao Pasupulati, S. Amosedinakaran
    Lecture Notes in Electrical Engineering, 2024
  • Reduced switch cascaded asymmetrical 27 level inverter-STATCOM with fuzzy logic controller
    Sundar Ramesh, Vijayakumar Govindaraj, Raja Raman, Shanmugasundaram Venkatarajan, Kamatchi Kannan Vijayarangan
    Indonesian Journal of Electrical Engineering and Computer Science, 2023
  • Virtual instrumentation based simple economic load dispatch estimator model for 3-phase power system network
    Journal of Advanced Research in Dynamical and Control Systems, 2017

RECENT SCHOLAR PUBLICATIONS

  • Distributed generation and shunt capacitor allocation in radial distribution power networks using a hybrid optimization approach
    R Sundar, D Ashokaraju, T Dharmaraj, D Thangaraj, P Sabarish, ...
    Scientific Reports , 2026
    2026
    Citations: 1
  • MULTI-OBJECTIVE INTEGRATED APPROACH FOR DISTRIBUTED GENERATION PLACEMENT AND SIZING TO ENHANCE PERFORMANCE OF RADIAL POWER DISTRIBUTION SYSTEM.
    J Ranga, RK JALLI, SK MUTHUSAMY, V SUNDARESAN, S RAMESH, ...
    Advances in Electrical & Electronic Engineering 23 (3) , 2025
    2025
    Citations: 2
  • Forecast the Energy Demand using Deep Learning Based Long Short-Term Memory
    S Ponnuru, S Amosedinakaran, P Vivek, R Sundar, P Baburao, ...
    2025 11th International Conference on Electrical Energy Systems (ICEES), 1-6 , 2025
    2025
    Citations: 1
  • Optimal Assimilation of Distributed Generation in Radial Power Distribution System Using Hybrid Approach
    BP S K B Pradeepkumar CH , Sakthidasan A , Sundar R , Senthil Kumar M ...
    Iraqi Journal for Electrical and Electronic Engineering 21 (1), 134-144 , 2025
    2025
    Citations: 3
  • ‘An integrated approach using loss sensitivity factor and whale optimization algorithm for distributed generation allocation
    A Sakthidasan, J Deglus, P Sabarish, P Rajakumar, R Sundar
    Int. J. Inf. Technol. Comput. Sci 17 (2), 8 , 2025
    2025
    Citations: 1
  • An Integrated Approach using Loss Sensitivity Factor and Whale Optimization Algorithm for Distributed Generation Allocation
    SR Sakthidasan A, Senthil Kumar M, Jovin Deglu, Sabarish P, Rajakumar P
    International Journal of Information Technology and Computer Science 17 (2 … , 2025
    2025
  • Jellyfish search optimizer algorithm based multipledistributed generation placements
    S Ramesh, V Govindaraj, S Santhosh, I Tholkappian, SS Rajaram, ...
    Majlesi Journal of Electrical Engineering 18 (3), 1-13 , 2024
    2024
    Citations: 2
  • A novel isolated multi-port interleaved flyback converter operated TPSL-DVR for small scale distribution system
    SRS Kumar M
    International Journal of Circuit Theory and Applications 52 (3), 1027-1055 , 2024
    2024
    Citations: 3
  • Design and development of photovoltaic solar system based single phase seven level inverter
    V Govindaraj, S Mayakrishnan, S Venkatarajan, R Raman, R Sundar
    Bulletin of Electrical Engineering and Informatics 13 (1), 58-66 , 2024
    2024
    Citations: 7
  • Reduced switch cascaded asymmetrical 27 level inverter-STATCOM with fuzzy logic controller
    S Ramesh, V Govindaraj, R Raman, S Venkatarajan, KK Vijayarangan
    Indonesian Journal of Electrical Engineering and Computer Science 32 (3 … , 2023
    2023
  • Performance of Fuzzy MPPT for a Distributed Photovoltaic System Under Changing Environmental Condition
    P Rajakumar, M Senthil Kumar, A Sakthidasan, R Sundar, B Pasupulati, ...
    International Conference on Electrical and Electronics Engineering, 201-218 , 2023
    2023
  • An Intelligent Medical Box Remotely Controlled By Doctor
    P Venkatesh, B Tamizharasan, RC Yogaprakash, R Sundar, S Saravanan
    2022
  • An integrated Model of PV Distributed System Using UPQC
    TP S.Saravanan, R.Sundar
    Journal of Seybold Report 15 (8), 2443 – 2450. , 2020
    2020
  • Controller for charging electric vehicles using solar energy
    TR Vignesh, M Swathisriranjani, R Sundar, S Saravanan, T Thenmozhi
    Journal of Engineering Research and Application 10 (01), 49-53 , 2020
    2020
    Citations: 76
  • Modelling and Simulation of Fuzzy Logic Control Based Perturb & Observation Technique for Mppt in Photovoltaic System.
    R Sundar
    International Journal for Research in Applied Science & Engineering … , 2017
    2017

MOST CITED SCHOLAR PUBLICATIONS

  • Controller for charging electric vehicles using solar energy
    TR Vignesh, M Swathisriranjani, R Sundar, S Saravanan, T Thenmozhi
    Journal of Engineering Research and Application 10 (01), 49-53 , 2020
    2020
    Citations: 76
  • Design and development of photovoltaic solar system based single phase seven level inverter
    V Govindaraj, S Mayakrishnan, S Venkatarajan, R Raman, R Sundar
    Bulletin of Electrical Engineering and Informatics 13 (1), 58-66 , 2024
    2024
    Citations: 7
  • Optimal Assimilation of Distributed Generation in Radial Power Distribution System Using Hybrid Approach
    BP S K B Pradeepkumar CH , Sakthidasan A , Sundar R , Senthil Kumar M ...
    Iraqi Journal for Electrical and Electronic Engineering 21 (1), 134-144 , 2025
    2025
    Citations: 3
  • A novel isolated multi-port interleaved flyback converter operated TPSL-DVR for small scale distribution system
    SRS Kumar M
    International Journal of Circuit Theory and Applications 52 (3), 1027-1055 , 2024
    2024
    Citations: 3
  • MULTI-OBJECTIVE INTEGRATED APPROACH FOR DISTRIBUTED GENERATION PLACEMENT AND SIZING TO ENHANCE PERFORMANCE OF RADIAL POWER DISTRIBUTION SYSTEM.
    J Ranga, RK JALLI, SK MUTHUSAMY, V SUNDARESAN, S RAMESH, ...
    Advances in Electrical & Electronic Engineering 23 (3) , 2025
    2025
    Citations: 2
  • Jellyfish search optimizer algorithm based multipledistributed generation placements
    S Ramesh, V Govindaraj, S Santhosh, I Tholkappian, SS Rajaram, ...
    Majlesi Journal of Electrical Engineering 18 (3), 1-13 , 2024
    2024
    Citations: 2
  • Distributed generation and shunt capacitor allocation in radial distribution power networks using a hybrid optimization approach
    R Sundar, D Ashokaraju, T Dharmaraj, D Thangaraj, P Sabarish, ...
    Scientific Reports , 2026
    2026
    Citations: 1
  • Forecast the Energy Demand using Deep Learning Based Long Short-Term Memory
    S Ponnuru, S Amosedinakaran, P Vivek, R Sundar, P Baburao, ...
    2025 11th International Conference on Electrical Energy Systems (ICEES), 1-6 , 2025
    2025
    Citations: 1
  • ‘An integrated approach using loss sensitivity factor and whale optimization algorithm for distributed generation allocation
    A Sakthidasan, J Deglus, P Sabarish, P Rajakumar, R Sundar
    Int. J. Inf. Technol. Comput. Sci 17 (2), 8 , 2025
    2025
    Citations: 1
  • An Integrated Approach using Loss Sensitivity Factor and Whale Optimization Algorithm for Distributed Generation Allocation
    SR Sakthidasan A, Senthil Kumar M, Jovin Deglu, Sabarish P, Rajakumar P
    International Journal of Information Technology and Computer Science 17 (2 … , 2025
    2025
  • Reduced switch cascaded asymmetrical 27 level inverter-STATCOM with fuzzy logic controller
    S Ramesh, V Govindaraj, R Raman, S Venkatarajan, KK Vijayarangan
    Indonesian Journal of Electrical Engineering and Computer Science 32 (3 … , 2023
    2023
  • Performance of Fuzzy MPPT for a Distributed Photovoltaic System Under Changing Environmental Condition
    P Rajakumar, M Senthil Kumar, A Sakthidasan, R Sundar, B Pasupulati, ...
    International Conference on Electrical and Electronics Engineering, 201-218 , 2023
    2023
  • An Intelligent Medical Box Remotely Controlled By Doctor
    P Venkatesh, B Tamizharasan, RC Yogaprakash, R Sundar, S Saravanan
    2022
  • An integrated Model of PV Distributed System Using UPQC
    TP S.Saravanan, R.Sundar
    Journal of Seybold Report 15 (8), 2443 – 2450. , 2020
    2020
  • Modelling and Simulation of Fuzzy Logic Control Based Perturb & Observation Technique for Mppt in Photovoltaic System.
    R Sundar
    International Journal for Research in Applied Science & Engineering … , 2017
    2017