Qualification: 
Ph.D, M.Tech, B-Tech
s_nithin@cb.amrita.edu
Phone: 
9043852774

Dr. Nithin S. joined Amrita School of Engineering in the year 2011 as a Junior Research Fellow under the DST-Vinnova funded project titled ”Energy Management on Smartgrid using Embedded Systems”. He is presently working as Assistant Professor(Sr. grade) in the Department of Electrical & Electronics Engineering at School of Engineering, Amrita Vishwa Vidyapeetham, Ettimadai, Coimbatore. His areas of research include embedded system design, electric vehicles and smart grid.

He obtained his B. Tech. degree in Electrical and Electronics Engineering in the year 2008 from Mahatma Gandhi University, Keralaand M. Tech degree in Embedded Systems in the year 2011 from Amrita Vishwa Vidyapeetham, Coimbatore. He obtained his Ph.D (2019) in the area of Demand Side Management in Smart Grid from Amrita Vishwa Vidyapeetham. He is currently the Co-Principal investigator for the project titled” Development and Prototyping of ICT enabled Smart- Charging Network Components” funded by DHI-TPEM, India.

Publications

Publication Type: Book Chapter

Year of Publication Title

2020

Nithin S, “ICT application of DSM ”, in Smart Micro Grid , Taylor & Francis, 2020.

Publication Type: Conference Paper

Year of Publication Title

2020

A. Harigopal and Nithin S, “Assessment of State of Charge estimation techniques for Li-Ion battery pack”, in 2020 International Conference on Smart Electronics and Communication (ICOSEC), 2020.[Abstract]


State of Charge (SoC) estimation of Li-ion batteries is crucial for the efficient operation of Electric vehicles. The article emphasis on the comparison of various techniques for SoC estimation of Li-ion batteries. Techniques selected for comparison is based on the easiness in implementing without compromising the accuracy. Simulation of CC and a combination of CC with an equivalent electric circuit model of a battery cell with closed-loop correction is carried out in MATLAB. The performance is evaluated and simulation results are presented.

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2020

P. R. Mahboob, Nithin S, and K. Vijith, “A Multi-Mode Power Converter for Electric Vehicle Charging”, in 2020 5th International Conference on Communication and Electronics Systems (ICCES), 2020.[Abstract]


A Multi-Mode Power converter (MMPC) suitable for Electric vehicle (EV) charging, with multifunctional operation in a single interleaved converter topology is proposed here. The MMPC incorporates AC - DC mode to charge the EV from the residential grid, Bidirectional DC-DC mode for internal power management and DC - AC mode for V2H operation. The interleaved topology of MMPC reduces the voltage and current ripple and performs power factor improvement during EV charging. The design and simulation results of MMPC using MATLAB Simulink are presented.

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2020

Lathika and Nithin S, “Development of a Communication Test Bed for Electric Vehicle Charging”, presented at the 07, 2020.

2019

K. Padmavathi and Nithin S, “Comparison of Image processing techniques for detecting human presence in an image”, in 2019 3rd International Conference on Trends in Electronics and Informatics (ICOEI), 2019.[Abstract]


The performance analysis of Haar-like features and Histogram of Oriented Gradients suited for detecting human presence in an image is presented here. The algorithms are implemented using OpenCV on an embedded platform. The algorithms were evaluated for a dataset comprising of 2850 images. The implementation details, comparison of algorithms and results obtained are discussed in detail.

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2018

R. Neha and Nithin S, “Comparative Analysis of Image Processing Algorithms for Face Recognition”, in 2018 International Conference on Inventive Research in Computing Applications (ICIRCA), 2018.[Abstract]


Face recognition has gained vast acceptance over the years as a prominent technique for individual identification and authentication. This article deals with the comparison of prominent algorithms belonging to feature based and appearance based face recognition. These algorithms were implemented in OpenCV and evaluated on different databases. Their performance with respect to accuracy and computational time are presented.

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2018

C. Yokita, Nithin S, and Pillai, A. S., “Development of a Battery Monitoring and Control Unit Aiding Utilities in Demand Side Management”, in 2018 International Conference on Inventive Research in Computing Applications (ICIRCA), 2018.[Abstract]


As the need for energy is increasing these days, the energy generated by the conventional grid is not sufficient to meet the demand and this results in supply-demand mismatch. As a solution, in distributed storage, batteries are used as dispatchable loads in demand side for balancing the supply-demand mismatch. This article proposes design and development of a Battery Monitoring and Control Unit (BMACU) for the batteries used in distributed storage. The BMACU facilitates monitoring of State of Charge (SoC) and updating the computed value in the utility server. The control unit allows various modes of charging of battery based on SoC and the current scenario. BMACU enables fast charging if there is excess power generation and discharge the battery during deficit, thus improving system reliability.

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2018

T. T. Thomas, Nithin S, Sivraj, P., and Guruvayurappan, K., “Design of an Embedded Controller for Next Generation Low Cost Insulin Pump”, in 2018 International Conference on Inventive Research in Computing Applications (ICIRCA), 2018.[Abstract]


Diabetic Mellitus (DM) can greatly reduce the patient's quality of life if left untreated. Traditional insulin infusion techniques involving a syringe and needle is impractical and unpleasant. Insulin pumps are a great alternative to achieve ease of use and personal comfort. An existing low cost insulin pump is further modified to have additional features to improve user experience. The pump is highly precise delivering accurate quantities of insulin irrespective of external conditions. The design aspects and architecture of the insulin pump is presented here.

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2018

Tom T Thomas, Nithin S, Sivraj, P., and Guruvayoorappan K., “Design of an embedded controller for next generation insulin pump”, in proceedings of the international conference on inventive research in computer applications(ICIRCA 2018), 2018.

2018

Divya K. R., Nithin S, and Dr. Sasi K. K., “A Smart Home Controller aiding utilities in demand side management”, in Power and Energy systems towards sustainable Energy, PESTSE-2018, 2018.

2017

L. Sadanandan and Nithin S, “A smart transportation system facilitating on-demand bus and route allocation”, in 2017 International Conference on Advances in Computing, Communications and Informatics (ICACCI), 2017.[Abstract]


Smart, intuitive and efficient transportation system is crucial for smart cities. A smart solution to transform the existing public transportation infrastructure is proposed here. Internet of Things (IoT) based hardware modules needed for implementation are discussed. Dijkstra's algorithm for shortest path has been modified to incorporate traffic conditions and additional features. The proposed algorithm is evaluated for various scenarios and results are presented.

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2016

V. S. Babu, Kumar, U. A., Priyadharshini, R., Premkumar, K., and Nithin S, “An intelligent controller for smart home”, in 2016 International Conference on Advances in Computing, Communications and Informatics (ICACCI), 2016.[Abstract]


Home Area Network (HAN) forms an integral part of the Smart Grid technology providing a smarter Solution to the energy crisis. This article proposes a remote interface controller for Smart Homes as a part of Home Automation and Demand Side Management. The intelligent controller submits the user with the individual energy consumption profiles of the appliances at his home on an android mobile application providing the user with dual appliance control (on/off) options: manual or automatic. The former requires manual control of the appliances while the latter lets the controller make the decision based on dynamic tariff rates using Fuzzy Logic. This system being user friendly can be adopted for the Smart Grid and Smarter homes.

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2016

Nithin S, Sivraj, P., and Dr. Sasi K. K., “Aggregation of Smart Facilities in a Smart City – A case study”, in International Conference on Smart Grid and Smart Cities – India Smart Grid Week, Delhi, India, 2016.

2016

P. Sivraj, Nithin S, and Dr. Sasi K. K., “Smart Microgrid Simulator”, in International Conference on Smart Grid and Smart Cities, India Smart Grid Week, Delhi, India , 2016.

2016

S. Sajeesh, Nithin S, Jisma, M., and Kottayil, S. K., “Pre-determination of system design adequacy in PV installation”, in 2016 - Biennial International Conference on Power and Energy Systems: Towards Sustainable Energy, PESTSE 2016, 2016.[Abstract]


This paper suggests a method to check suitability of a solar PV system design for a certain application. It presents modeling and performance analysis of a photo voltaic system which is required to meet the full demand of a domestic load with the help of battery storage. The system is also expected to export excess energy to the distribution grid as and when available. The system is designed and the model is simulated to analyze the performance over 24 hours of a day. The simulation results are used to see if the system is meeting all the expected tasks. The PV array size and the energy storage capacity in the case studied are optimized to meet the target. The scope of the work can be easily extended to system design optimization to match different load and irradiance profiles. © 2016 IEEE.

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2014

Nithin S, Sivraj, P., Dr. Sasi K. K., and Lagerstöm, R., “Development of a Real Time Data Collection Unit for distribution network in a smart grid environment”, in Proceedings of International Conference Power and Energy systems: Towards sustainable Energy, PESTSE 2014, Amrita School of Engineering, Bangalore, 2014, pp. 1-5.[Abstract]


This paper proposes a Real Time Data Collection Unit (RTDCU) to be used in the distribution side of a smart grid for real time data collection. The RTDCU unit uses Discrete Fourier Transform (DFT) based approach to compute the voltage and current phasors and frequency of the power system signals. The design, development and testing of such a system is done for a 5-bus micro grid simulator which represents a scaled down model of approximately 25km2 grid with a peak demand of 15MW. The RTDCU unit is first simulated and tested in MATLAB environment using synthetic signals and the correctness is ensured. The unit is then implemented in hardware in a dsPIC30f4011 microcontroller and tested for different loads. The future scope of the unit and the ways to improve the performance and synchronized data collection are also discussed.

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2012

Nithin S, Sasi, K. K., and Nambiar, T. N. P., “Development of a Smart Grid Simulator”, in proceedings of the National conference on Power Distribution, CPRI Bangalore, 2012.

Publication Type: Journal Article

Year of Publication Title

2020

Nithin S and Kottyail, S. K., “Demand Dispatch-Smart DSM to help high wind penetration in grid”, Journal of Indian Wind Power, 2020.

2020

Nithin S, “DSM –The smart initiatives”, Journal of Energy manager, 2020.

2019

D. Janki Patel, Nithin S, and N, S., “Development of an automated tool for valve driver configuration”, International Journal of Innovative Technology and Exploring Engineering (IJITEE), vol. 8, no. 9, 2019.[Abstract]


The development of a software tool for automating
configuration of valves used in automobiles is discussed here.
Configuring the valve driver is a monotonous task requiring
humongous amount of time and concentration. The tool extracts
data from Microsoft Excel file and generates the source code for
controlling valves. The tool features a user friendly GUI which
allows the user to input and import the configuration files

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2019

Nithin S, K. Vijith, C., R., and Dr. Sasi K. K., “Automated Dispatch of Wind Power On Microgrid For Voltage Regulation”, International Journal of Automation and Smart Technology, vol. 9, no. 3, 2019.[Abstract]


The variability of wind power generation adversely affects the grid conditions and the utilities find it challenging to accommodate variations in the injected wind power. To resolve this issue utilities impose curtailment of wind power generation. Demand side management (DSM) strategies have gained popularity among utilities in recent years. An advanced Demand Response (DR) scheme known as Demand Dispatch (DD) enable utilities to reshape demand curve to closely follow generation. An automated DD strategy is proposed as a solution to the issues related to high penetration of wind turbine generators (WTG) on micro grid. It basically balances the WTG power injection with real time controlled dispatchable loads. DD adopts smart communication for real time data collection as well as for dispatchable load management. A field implementation of DD in maintaining voltage stability in a DC microgrid with micro-WTG (m-WTG) is studied. The experiment results presented validate the scheme.

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2016

A. K. Sandeep, Nithin S, and Dr. K. I. Ramachandran, “An image processing based pedestrian detection system for driver assistance”, International Journal of Control Theory and Applications, vol. 9, pp. 7369-7375, 2016.[Abstract]


Advanced Driver Assistance System (ADAS) has developed further from just improving traffic safety to an area to help the driver to anticipate accidents. The Pedestrian Protection System (PPS) is a part of ADAS that alerts the driver once the pedestrian is detected. This paper suggests an approach for detecting pedestrians from a real time video and performing braking action once detected. Real time video is captured and the moving background is first modeled. Foreground segmentation is performed on a modeled background. Blob analysis is performed on the foreground pixels to detect the presence of pedestrian. As a control action an alert is given acoustically and braking is performed by actuating the brake pedals using a controller and actuator as a further measure. © International Science Press.

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2016

N. George, Nithin S, and Kottayil, S. K., “Hybrid Key Management Scheme for Secure AMI Communications”, Procedia Computer Science, vol. 93, pp. 862-869, 2016.[Abstract]


Advanced Metering Infrastructure (AMI) is an essential attribute of Smart Grid. To ensure secure communication for smart metering one must ensure that the data which is sent or received is authorized and confidential. This article deals with a hybrid encryption scheme for unicast, multicast and broadcast communication in AMI. To ensure confidentiality, integrity and authenticity, a Key Management Scheme (KMS) for hybrid communication modes is proposed. The proposed scheme provides excellent level of security and reduces the computational load on Smart Meter (SM). © 2016 The Authors. Published by Elsevier B.V.

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2012

Nithin S, Dr. Radhika N., and Dr. Vanitha V., “Smart Grid Test Bed Based on GSM”, Procedia Engineering, vol. 30, pp. 258-265, 2012.[Abstract]


<p>Modern world demands for more and more electric power, but there is a limit for which nature can provide us. In order to meet the growing demand for energy, we need to find new resources and allocate them efficiently. This is where the concept of smart grid comes into picture. Smart grid consists of a power grid with both renewable and non renewable sources of energy like thermal, hydro, wind turbines and nuclear reactors. It is the duty of the smart grid to reduce losses, and thereby meet the demand in a more efficient way. Smart grid will be an automated grid, which can route the power from different generating stations based on the demand schedule. The evolution into the smart grid is not an easy task. It needs innovation in various aspects like real time demand scheduling, fault detection and self healing. Smart grid will have a sophisticated information network, which is separate from the power lines. This paper presents a smart grid test bed based on GSM technology which is capable of load management, fault detection and self healing. The test bed system consists of automated power switches, smart meters, energy sources and load. The communication for the system is achieved through GSM modules. This test bed will allow the implementation of various protocols and methodologies, which could be used for researching the problems in smart grid.</p>

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Publication Type: Conference Proceedings

Year of Publication Title

2016

D. K. Kartik, Prabhu E., and Nithin S, “Frequency Estimation of Power System Using CMAC Artificial Neural Network”, 2016 International Conference on Circuit, Power and Computing Technologies (ICCPCT). pp. 1-5, 2016.[Abstract]


The power system frequency plays more important role in power system and the paper intends a different technique to estimate exact power system frequency of a distorted sinusoid wave. The estimation of frequency is articulated as optimization problem, and it aims to reduce the estimation error. And the problem statement is executed in soft computing technique CMAC Artificial Neural Network (ANN). The algorithm is implemented and performance is simulated.

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2014

Nithin S, Kottayil, S. K., and Lagerstom, R., “Direct Load Control on Smart Micro Grid Supported by Wireless Communication and Real Time Computation”, Proceedings of International Conference on Interdisciplinary Advances in Applied Computing, ICONIAAC 2014. ACM, Amrita School of Engineering, Amritapuri, pp. 1-5, 2014.[Abstract]


A load management scheme applied to micro grid, in a smart grid environment is presented in this paper. A smart micro grid simulator is developed and used for the validation of the study. The simulator is provided with synchronized measurement facility that is wirelessly connected to computational network. The proposed load management scheme is a direct load control adopted as a demand response program executed on frequency based decisions.

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2012

N. Honeth, Lagerström, R., Buschle, M., Sasi, K. K., and Nithin S, “An Extended ArchiMate Metamodel for Microgrid Control System Architectures”, 9th IET International Conference on Advances in Power System Control, Operation and Management (APSCOM 2012). Institute of Engineering and Technology, Hong Kong, Power & Energy Section., 2012.

Resource Person

  1. Resource person for workshop on Smart power systems, Ammini college of Engineering, Palakkad,India,2020.
  2. Resource person for AICTE sponsored Faculty Development Program (FDP) on Electric vehicles, St. Gits college of Engineering, Kerala, India, 2020.
  3. Resource person for AICTE sponsored FDP on Electric vehicle- Design and simulation of hybrid and electric vehicle system”, Hindustan college of engineering, Tamilnadu, India. 2020.
  4. Resource person for AICTE sponsored STTP on IoT based control of AC/DC microgrids, Ramakrishna College of engineering, Tamilnadu, India,2020.
  5. Resource person for AICTE sponsored FDP on Data analytics in smart microgrids, KLN College of engineering, Tamilnadu, India,2020.
  6. Resource person for FDP on E-vehicle: A green approach for sustainable development at Mar Baselious college of Engineering And Technology, Trivandrum,India,2019.
  7. Resource person for FDP on E-vehicle at AdiShankara institute of Engineering and Technology, Kerala,India,2019.
  8. Resource person for FDP on EV, Amrita Vishwa Vidyapeetham, Coimbatore, India, 2019.
  9. Resource person for FDP on Smart grid & integration of renewable energy, N.S.S college of Engineering. Palakkad,India,2017.
  10. Resource person for two day workshop on PIC Microcontroller at Sri Krishna College on Engineering, Coimbatore,India,2014.
  11. Resource person for “Development of a Smart Grid Simulator” in the FDP on power System modeling and simulation, at Amrita Vishwa Vidyapeetham 2014.