K MANICKAVASAGAM

Verified email at gmail.com

Professor in Electrical Engineering Department
MS Ramaiah University of Applied Sciences



                                   

https://researchid.co/dr.k.manickavasagam

RESEARCH INTERESTS

Renewable Power Generation, Electric Vehicle, Power System

FUTURE PROJECTS

Health Monitoring and Prognosis of Electric Motors in Electric Vehicle

Electric mobility has become an essential part of the future of transportation. Detection, diagnosis and prognosis of fault in electric drives are improving the reliability, of electric vehicles (EV). Permanent magnet synchronous motor (PMSM) drives are used in a large variety of applications due to their dynamic performances, higher power density and higher efficiency. In this study, health monitoring and prognosis of PMSM is developed by creating intelligent digital twin (i-DT) in MATLAB/ Simulink.


Applications Invited
Collaborator
22

Scopus Publications

240

Scholar Citations

7

Scholar h-index

7

Scholar i10-index

Scopus Publications

  • Transmission Line Dynamic Circuit Model for Effective Length of Ground Electrode Under Lightning Transients
    Senthil Kumar A and Krishnan Manickavasagam

    IEEE Transactions on Electromagnetic Compatibility, ISSN: 00189375, eISSN: 1558187X, Pages: 543-550, Published: 1 April 2022 Institute of Electrical and Electronics Engineers (IEEE)

  • Computation of Effective Length of Enhancement for Vertical Electrode Under Lightning Transients
    Senthil Kumar A and Krishnan Manickavasagam

    IEEE Transactions on Electromagnetic Compatibility, ISSN: 00189375, eISSN: 1558187X, Published: 2022 Institute of Electrical and Electronics Engineers (IEEE)

  • Intermediate Administrative System for Load Side Management in Different Kinds of Load Present in a Cluster of Micro Grid
    Jayanth B, V. Sailaja, K. Deepa, and K. Manickavasagam

    2022 IEEE Delhi Section Conference, DELCON 2022, Published: 2022 IEEE
    The work focuses on how to overcome discriminating environment on buying and selling price of the power in a micro grid. An intermediate system is built to overcome the discriminate environment on real time scenario. Case study with different kinds of loads is carried out to ensure both suppliers and consumers of the micro grid are equally handled over a distributive system. The system works according to the consumer's interaction with the grid. A grading system is introduced to push the respective consumers to the higher level based on the interaction with the grid, thus providing non-discriminating environment. This mechanism will encourage consumers to participate in the grading system and more number of suppliers to join the system. The base of the system is carried using IEEE 44 bus for 2 micro-grids and the simulation is carried out in MATLAB. The system is built on JAVA platform for long run.

  • A review on vibration energy harvesting technologies: analysis and technologies
    K. T. Prajwal, K. Manickavasagam, and R. Suresh

    European Physical Journal: Special Topics, ISSN: 19516355, eISSN: 19516401, Published: 2022 Springer Science and Business Media LLC

  • Analyzation of Temperature Rise in Induction Motor for Electric Vehicles
    Sohail Khazi, Anusha Vadde, Krishnan Manickavasagam, Govind R. Kadambi, Venkat Narayanan, B. M. Lokesh, Swapan Sarkar, and Jagadeesha

    Lecture Notes in Electrical Engineering, ISSN: 18761100, eISSN: 18761119, Volume: 766, Pages: 173-183, Published: 2022 Springer Singapore

  • Fuzzy Based Health Monitoring of Electric Vehicle Motor using Time Domain Analysis
    Shweta S Hooli, Anusha Vadde, Krishnan Manickavasagam, and Govind R Kadambi

    2021 International Conference on Sustainable Energy and Future Electric Transportation, SeFet 2021, Published: 21 January 2021 IEEE
    Detection of low-level electrical winding faults in Squirrel Cage Induction Motor (SCIM) is prime importance in Electric Vehicle (EVs). This analysis is carried out to predict flux distribution inside and outside of SCIM using Finite Element Analysis (FEA). In FEA, time domain analysis is performed to determine flux at the instant of fault with respect to time whereas steady state analysis will not give such a results. Flux distribution provides significant information about the behavior of SCIM. For analyzing the leakage flux in the surface vicinity of SCIM a 15kW machine is chosen. The analysis indicates magnetic flux distribution and ideal location of flux sensor. From FEM model, leakage flux on the surface of SCIM is captured and exported to MATLAB for health monitoring. Fuzzy rule base is developed for mapping the flux with health monitoring of SCIM used in Electric Vehicle (EV). Continuous health monitoring of the machine is captured by fuzzy controller and displayed in EV or vehicle monitoring centre.

  • Thermal behavior on Productive Torque in Electric Vehicle Motor using Computational Methods
    Sudha B, Anusha Vadde, and Krishnan Manickavasagam

    2021 IEEE 6th International Conference on Computing, Communication and Automation, ICCCA 2021, Pages: 367-371, Published: 2021 IEEE

  • Characterization of temperature and productive Torque for 160l frame squirrel cage induction motor
    Sudha. B, , Anusha Vadde, Krishnan Manickavasagam, Govind R Kadambi, , , and

    Journal of Engineering Research (Kuwait), ISSN: 23071885, Pages: 35-46, Published: 2021 Journal of Engineering Research
    Induction motor usage is increasing drastically due to new entrant of electric vehicle, traction and propulsion systems at present. Temperature of electric motors are significantly affect its parameters. Since, resistances variation of stator and rotor winding are depend on temperature, the torque speed characteristics also affects in the induction motors. In this paper, a innovative approach is proposed to arrive the relation of temperature on torque. Thermal analysis of 160 L-frame induction motors is carried out using Finite Element Method (FEM) under various load to obtain temperature. The mathematical relationship between temperature and torque is arrived using curve fitting technique. The expression arrived in this method is used to predict the torque for a given temperature of SCIM.

  • Measurement of torque using leakage flux for induction motors in electric vehicles by non-invasive method
    Shweta S Hooli, Anusha Vadde, Krishnan Manickavasagam, and Govind R. Kadambi

    Lecture Notes in Electrical Engineering, ISSN: 18761100, eISSN: 18761119, Volume: 661, Pages: 489-503, Published: 2021 Springer Singapore
    This paper proposes a non-invasive method of predicting health monitoring of a three-phase Squirrel Cage Induction Motor (SCIM). A 15 kW SCIM is modelled using Finite Element Analysis (FEA) for performing magnetic analysis to design a restraining coil. Since, torque developed depends on magnitude of flux, an electronic system is designed to display the torque. Health condition of SCIM is predicted based on torque magnitude. A typical implementation of the proposed scheme on 15 kW SCIM revealed a satisfactory correlation between the experimental and simulation results. The proposed approach aids to monitor the SCIM in Electric Vehicles (EVs) without physical intervention.

  • Generation regulation control systems
    Krishnan Manickavasagam, Ilango Karuppasamy, and Vineetha Puttaraj

    Hosting Capacity for Smart Power Grids, Pages: 195-221, Published: 1 January 2020 Springer International Publishing
    Power systems are steadily growing to meet the power demand. Due to the challenges arising from fossil fuel exploitation and associated pollution, researchers are focusing on distributed generations (DG). The hosting capacity of the power system can be increased by increasing the DG and energy storage device (ESD). However, usage of DG creates challenges in operation due to its stochastic nature. The electricity generated from DG causes mismatch of generation and load demand. This causes voltage and frequency deviations and eventually affects system stability. Penetration of DG with conventional power system requires strategic approach for smooth operation and control. Steady-state operation of DG connected to microgrid operates in two types of analysis: (i) large signal analysis and (ii) small signal analysis. The control strategies for island mode are classified as communication based and droop based. Presently, Internet of Things (IoT) is replacing high bandwidth lines for the purpose of effective communication. Different countries are following their own control strategies for effective control of microgrids. This chapter discusses the communication-based control strategy implemented in Gasa Island, South Korea. Taiwanese microgrid under normal and disturbance conditions implemented with multi-agent system (MAS) platform in Taiwan using agent-oriented programming is also discussed.

  • Health monitoring and prognosis of electric vehicle motor using intelligent-digital twin
    Suchitra Venkatesan, Krishnan Manickavasagam, Nikita Tengenkai, and Nagendran Vijayalakshmi

    IET Electric Power Applications, ISSN: 17518660, eISSN: 17518679, Pages: 1328-1335, Published: 1 September 2019 Institution of Engineering and Technology (IET)
    Electric mobility has become an essential part of the future of transportation. Detection, diagnosis and prognosis of fault in electric drives are improving the reliability, of electric vehicles (EV). Permanent magnet synchronous motor (PMSM) drives are used in a large variety of applications due to their dynamic performances, higher power density and higher efficiency. In this study, health monitoring and prognosis of PMSM is developed by creating intelligent digital twin (i-DT) in MATLAB/Simulink. An artificial neural network (ANN) and fuzzy logic are used for mapping inputs distance, time of travel of EV and outputs casing temperature, winding temperature, time to refill the bearing lubricant, percentage deterioration of magnetic flux to compute remaining useful life (RUL) of permanent magnet (PM). Health monitoring and prognosis of EV motor using i-DT is developed with two approaches. Firstly, in-house health monitoring and prognosis is developed to monitor the performance of the motor in-house. Secondly, Remote Health Monitoring and Prognosis Centre (RHMPC) is developed to monitor the performance of the motor remotely using cloud communication by the service provider of the EV. The simulation results prove that the RUL of PM and time to refill the bearing lubricant obtained by i-DT twins theoretical results.

  • Assessment of power system security using security information index
    Krishnan Manickavasagam, Belur Krishna Swathi Prasad, and Hariharan Ramasangu

    IET Generation, Transmission and Distribution, ISSN: 17518687, Pages: 3040-3047, Published: 23 July 2019 Institution of Engineering and Technology (IET)
    Power system security assessment is important for the analysis of a power system network. The security analysis is based on equality constraint of generation-demand balance and inequality constraints of maximum voltage and current limits. The lack of a single measure to identify the state of the power system network limits the analysis of security and leads to uncertainty in identifying the states of the power system. In this study, a single measure Security Information Index (SII) is proposed for identifying the state of power system using steady-state power flow analysis. SII is computed using participation factors which are derived from both equality and inequality constraints, and moments of their statistics. SII is used to identify the present state of the power system and enhance the system security. This is successfully tested on IEEE 14 and IEEE 30-bus system.

  • Intelligent energy management system for renewable energy driven ship
    Krishnan Manickavasagam, Naveen Kumar Thotakanama, and Vineetha Puttaraj

    IET Electrical Systems in Transportation, ISSN: 20429738, eISSN: 20429746, Pages: 24-34, Published: 1 March 2019 Institution of Engineering and Technology (IET)
    Utilisation of renewable energy sources (RES) is increasing day by day to reduce greenhouse emissions. The toxic emission from ship is the main concern in marine sector. Here, utilisation of renewable energy for propulsion and electrification of accessories in a ship are proposed. Microgrid with AC and DC bus is developed using solar panels, wind mills, fuel cell, diesel generator, and energy storage devices. Energy management system with two fuzzy logic controllers (FLCs) is used to select and manage energy in the microgrid. Selection of source is decided by FLC1 based on the availability of RES. Generation of control pulses for inter-linking converters is decided by FLC2 based on variation in solar irradiance and wind velocity. The microgrid with RES is simulated using MATLAB/SIMULINK. The results show that uncertainty in RES can be handled by FLCs to provide a continuous power supply for transportation of ship and its accessories.

  • Computational analysis on Doubly fed induction generator to determine core loss under normal and low voltage ride through (LVRT) condition
    T Nikita, K. Manickavasagam, and S Sachin

    Proceedings of 2017 IEEE International Conference on Technological Advancements in Power and Energy: Exploring Energy Solutions for an Intelligent Power Grid, TAP Energy 2017, Pages: 1-6, Published: 26 June 2018 IEEE
    In present scenario, the Doubly Fed Induction Generator (DFIG) is contributing more than 50% in wind power generation. The computation of core losses and copper losses are essential to analyse the electric machine performance. In this paper, DFIG is modelled and analysed using ANSOFT MAXWELL which results in distribution of magnetic flux and magnetic flux density for all the parts of the machine. To validate the result under the disturbance, the Low Voltage Ride Through (LVRT) is considered which is the biggest challenges faced by DFIG. The analysis is made using MATLAB SIMULINK to predict the fault current and voltage magnitudes during LVRT. The same fault current and voltage magnitudes are used in DFIG model created using ANSOFT MAXWELL. The core losses of the machine is computed from maximum flux density under normal, during LVRT and after supressing LVRT.

  • Magnetostriction analysis on doubly fed induction generator under normal and low voltage ride through (LVRT) condition
    T Nikita, K. Manickavasagam, and S Sachin

    Proceedings of 2017 IEEE International Conference on Technological Advancements in Power and Energy: Exploring Energy Solutions for an Intelligent Power Grid, TAP Energy 2017, Pages: 1-5, Published: 26 June 2018 IEEE
    Rotating electrical machines are designed at many levels and from a number of different points of view. The development of powerful computation engines in previous decades allowed for the use of numerical methods in electromagnetics. In electrical machines, the magnetic field effect the dimensions of iron parts due to magnetostriction. In this paper, Doubly Fed Induction Generator (DFIG) is modelled and analyzed using ANSOFT MAXWELL which results in distribution of magnetic flux for all the parts of the machine. The Low Voltage Ride Through (LVRT) is the cause of magnetostriction in DFIG. To capture this effect, the LVRT is created in DFIG model using MATLAB SIMULINK to predict the fault current and voltage magnitudes. The same fault current and voltage magnitudes are used for analyzing the ANSOFT MAXWELL DFIG model.

  • Mathematical modelling of dynamic soil resistivity under transient conditions
    A Senthil Kumar and K. Manickavasagam

    Proceedings of 2017 IEEE International Conference on Technological Advancements in Power and Energy: Exploring Energy Solutions for an Intelligent Power Grid, TAP Energy 2017, Pages: 1-6, Published: 26 June 2018 IEEE
    It is critical to design an earthing system for transient conditions such as lightning strikes, over voltages, surges etc., for which the estimation of soil resistivity under transient conditions is essential. The soil resistivity varies dynamically under transient conditions and hence the estimation of dynamic soil resistivity is difficult process. In this work, under lightning impulse conditions, the dynamic soil resistivity profile is created by simulations considering soil ionization for different soil resistivity, ionization and deionization time constants. Based on the simulation results, dynamics soil resistivity modeled mathematically to compute ionization and deionization resistivity. The results infer that the dynamic soil resistivity depends on permeability, permittivity and lightning impulse rise time and does not depend upon earth electrode dimension.

  • Analysis and design of fuzzy based PWM controller for solar power generation
    Shriti Das, Naveen Kumar Thotakanama, and Krishnan Manickavasagam

    Proceedings of 2017 IEEE International Conference on Technological Advancements in Power and Energy: Exploring Energy Solutions for an Intelligent Power Grid, TAP Energy 2017, Pages: 1-6, Published: 26 June 2018 IEEE
    This paper presents the designing of a SIMULINK model based on solar power generation scheme. The bidirectional converter charges the battery, whenever PV module generates excess power. Battery discharges power to the load during low solar irradiation. SOC (State of Charge) control of battery is provided to avoid complete discharge. In practice, the battery charging circuit is connected before load. In this work to extract maximum power from PV module, the battery charging unit and battery is connected near to the source to reduce the number of power conversion stages. The control of power is achieved through DC-DC Converter by controlling the gate pulses using fuzzy based PWM technique. A DC-AC converter is associated to feed power to AC load. The simulation results of designed system are validated and compared with the conventional PID controlled system during constant and varying irradiance and load.

  • Intelligent Energy Control Center for Distributed Generators Using Multi-Agent System
    Krishnan Manickavasagam

    IEEE Transactions on Power Systems, ISSN: 08858950, Pages: 2442-2449, Published: 1 September 2015 Institute of Electrical and Electronics Engineers (IEEE)
    This paper presents the modeling of intelligent energy control center (ECC) controlling distributed generators (DGs) using multi-agent system. Multi-agent system has been proposed to provide intelligent energy control and management in grids because of their benefits of extensibility, autonomy, reduced maintenance, etc. The multi-agent system constituting the smart grid and agents such as user agent, control agent, database agent, distributed energy resources (DER) agent work in collaboration to perform assigned tasks. The wind power generator connected with local load, the solar power connected with local load and the ECC controlled by fuzzy logic controller (FLC) are simulated in MATLAB/SIMULINK. The DER model is created in client and ECC is created in server. Communication between the server and the client is established using transmission control protocol/internet protocol (TCP/IP). The results indicate that the controlling of DER agent can be achieved both from server and client.

  • Neuro-fuzzy-based control for parallel cascade control
    R. Karthikeyan, K. Manickavasagam, Shikha Tripathi, and K.V.V. Murthy

    Chemical Product and Process Modeling, ISSN: 21946159, eISSN: 19342659, Pages: 15-25, Published: June 2013 Walter de Gruyter GmbH
    Abstract This paper discusses the application of adaptive neuro-fuzzy inference system (ANFIS) control for a parallel cascade control system. Parallel cascade controllers have two controllers, primary and secondary controllers in cascade. In this paper the primary controller is designed based on neuro-fuzzy approach. The main idea of fuzzy controller is to imitate human reasoning process to control ill-defined and hard to model plants. But there is a lack of systematic methodology in designing fuzzy controllers. The neural network has powerful abilities for learning, optimization and adaptation. A combination of neural networks and fuzzy logic offers the possibility of solving tuning problems and design difficulties of fuzzy logic. Due to their complementary advantages, these two models are integrated together to form more robust learning systems, referred to as adaptive neuro-fuzzy inference system (ANFIS). The secondary controller is designed using the internal model control approach. The performance of the proposed ANFIS-based control is evaluated using different case studies and the simulated results reveal that the ANFIS control approach gives improved servo and regulatory control performances compared to the conventional proportional integral derivative controller.

  • Control of distributed generator and smart grid using multi-agent system
    K. Manickavasagam, M. Nithya, K Priya, J Shruthi, Shruthi Krishnan, Smriti Misra, and S. Manikandan

    2011 1st International Conference on Electrical Energy Systems, ICEES 2011, Pages: 212-217, Published: 2011 IEEE
    The electric power system is an enabling infrastructure that supports the operation of other critical infrastructures and thus the economic well being of the nation. It is therefore very important to design a smart grid for resiliency and autonomous re-configurability in the electric power grid. For the operation of any power system, its control architecture consisting of hardware and software protocols is very essential for exchanging system status and control signals. This is accomplished by Supervisory Control and Data Acquisition (SCADA) systems. Current trends to control and monitor the operation of electric power systems are however moving towards the use of an automated agent technology using a multi-agent system which replaces SCADA system. The objective of this paper is to design and model a multiagent system which consists of Distributed Energy Resource (DER) agent, Data Base agent, Control agent and User agent. DER agent is modeled using MATLAB/SIMULINK. The simulation results presented in this paper show the seamless transition from grid connected to an island mode when upstream outages are detected. This denotes the capability of a multi-agent system as a technology for managing the microgrid operation.

  • Automatic generation control of multi-area power system using fuzzy logic controller
    P. Subbaraj and K. Manickavasagam

    European Transactions on Electrical Power, ISSN: 1430144X, eISSN: 15463109, Pages: 266-280, Published: April 2008 Wiley
    This paper presents an application of Fuzzy Logic Controller (FLC) with triangular and gauss membership functions to study Automatic Generation Control (AGC) of a four-area interconnected power system. Out of the four areas three have steam turbines and one has hydro turbine. All steam turbines in the system contain the reheat effect of non-linearity and hydro turbine contains upper and lower constraints for generation rate. The result proves that the performance of FLC with Gaussian membership function is better than that of conventional controller. Copyright © 2007 John Wiley & Sons, Ltd.

  • Generation control of interconnected power systems using computational intelligence techniques
    P. Subbaraj and K. Manickavasagam

    IET Generation, Transmission and Distribution, ISSN: 17518687, Pages: 557-563, Published: 2007 Institution of Engineering and Technology (IET)
    Basic power systems are steadily growing and have become large and more complex with interconnections to neighbouring systems. A novel approach is presented for steady-state analysis of generation control, incorporating load and generation characteristics, which gives nearly exact practical solution for large interconnected power systems during normal operating conditions and under disturbance. It also assists planning and operation engineers to observe the steady-state behaviour of a network disturbances, such as loss of generation and loss of load. Adopting decoupled Newton-Raphson method, steady-state frequency deviation (DeltaF) and tie-line error (DeltaP tie )are estimated for the disturbance. In the paper, the knowledge of frequency deviation and tie-line error are handled to produce the required change in generation using both a fuzzy-logic controller and an artificial-neural-network controller separately.

RECENT SCHOLAR PUBLICATIONS

  • Computation of Effective Length of Enhancement for Vertical Electrode Under Lightning Transients
    K Manickavasagam
    IEEE Transactions on Electromagnetic Compatibility 2022

  • A review on vibration energy harvesting technologies: analysis and technologies
    KT Prajwal, K Manickavasagam, R Suresh
    The European Physical Journal Special Topics, 1-13 2022

  • Intermediate Administrative System for Load Side Management in Different Kinds of Load Present in a Cluster of Micro Grid
    B Jayanth, V Sailaja, K Deepa, K Manickavasagam
    2022 IEEE Delhi Section Conference (DELCON), 1-5 2022

  • Analyzation of Temperature Rise in Induction Motor for Electric Vehicles
    S Khazi, A Vadde, K Manickavasagam, GR Kadambi, V Narayanan, ...
    Advances in Energy Technology, 173-183 2022

  • Thermal behavior on Productive Torque in Electric Vehicle Motor using Computational Methods
    B Sudha, A Vadde, K Manickavasagam
    2021 IEEE 6th International Conference on Computing, Communication and 2021

  • Transmission Line Dynamic Circuit Model for Effective Length of Ground Electrode Under Lightning Transients
    K Manickavasagam
    IEEE Transactions on Electromagnetic Compatibility 64 (2), 543-550 2021

  • Fuzzy Based Health Monitoring of Electric Vehicle Motor using Time Domain Analysis
    SS Hooli, A Vadde, K Manickavasagam, GR Kadambi
    2021 International Conference on Sustainable Energy and Future Electric 2021

  • Measurement of Torque Using Leakage Flux for Induction Motors in Electric Vehicles by Non-invasive Method
    SS Hooli, A Vadde, K Manickavasagam, GR Kadambi
    Innovations in Electrical and Electronic Engineering 168, 489-503 2020

  • Generation Regulation Control Systems
    K Manickavasagam, I Karuppasamy, V Puttaraj
    Hosting Capacity for Smart Power Grids, 195-221 2020

  • Assessment of Power System Security using Security Information Index
    K Manickavasagam, S Prasad, H Ramasangu
    IET- Generation, Transmission and Distribution 13 (14), 3040 – 3047 2019

  • Health monitoring and prognosis of electric vehicle motor using intelligent-digital twin
    NV Suchitra Venkatesan, Krishnan Manickavasagam, Nikita Tengenkai
    IET Electric Power Applications 2019

  • Intelligent energy management system for renewable energy driven ship
    K Manickavasagam, NK Thotakanama, Vineetha Puttaraj
    IET Electrical Systems in Transportation 9 (No.1), 24-34 2018

  • Client-Server Based Control for Distributed Generator
    VP Raj, K Manickavasagam, TN Kumar
    SASTech-Technical Journal of RUAS 17 (1), 5-8 2018

  • Magnetostriction analysis on doubly fed induction generator under normal and low voltage ride through (LVRT) condition
    T Nikita, K Manickavasagam, S Sachin
    2017 International Conference on Technological Advancements in Power and 2017

  • Analysis and design of fuzzy based PWM controller for solar power generation
    S Das, NK Thotakanama, K Manickavasagam
    2017 International Conference on Technological Advancements in Power and 2017

  • Computational analysis on Doubly fed induction generator to determine core loss under normal and low voltage ride through (LVRT) condition
    T Nikita, K Manickavasagam, S Sachin
    2017 International Conference on Technological Advancements in Power and 2017

  • Mathematical modelling of dynamic soil resistivity under transient conditions
    AS Kumar, K Manickavasagam
    2017 International Conference on Technological Advancements in Power and 2017

  • Intelligent energy control center for distributed generators using multi-agent system
    K Manickavasagam
    IEEE Transactions on power systems 30 (5), 2442-2449 2014

  • Fuzzy logic controller based single buck boost converter for solar PV cell
    K Manickavasagam
    International Journal of Applied 3 (1), 1-8 2014

  • Neuro-fuzzy-based control for parallel cascade control
    R Karthikeyan, K Manickavasagam, S Tripathi, KVV Murthy
    Chemical Product and Process Modeling 8 (1), 15-25 2013

MOST CITED SCHOLAR PUBLICATIONS

  • Health monitoring and prognosis of electric vehicle motor using intelligent-digital twin
    NV Suchitra Venkatesan, Krishnan Manickavasagam, Nikita Tengenkai
    IET Electric Power Applications 2019
    Citations: 58

  • Intelligent energy control center for distributed generators using multi-agent system
    K Manickavasagam
    IEEE Transactions on power systems 30 (5), 2442-2449 2014
    Citations: 37

  • Automatic generation control of multi‐area power system using fuzzy logic controller
    P Subbaraj, K Manickavasagam
    European transactions on electrical power 18 (3), 266-280 2008
    Citations: 36

  • Control of distributed generator and smart grid using multi-agent system
    K Manickavasagam, M Nithya, K Priya, J Shruthi, S Krishnan, S Misra, ...
    2011 1st International Conference on Electrical Energy Systems, 212-217 2011
    Citations: 34

  • Generation control of interconnected power systems using computational intelligence techniques
    P Subbaraj, K Manickavasagam
    IET Generation, Transmission & Distribution 1 (4), 557-563 2007
    Citations: 19

  • Intelligent energy management system for renewable energy driven ship
    K Manickavasagam, NK Thotakanama, Vineetha Puttaraj
    IET Electrical Systems in Transportation 9 (No.1), 24-34 2018
    Citations: 10

  • Fuzzy logic controller based single buck boost converter for solar PV cell
    K Manickavasagam
    International Journal of Applied 3 (1), 1-8 2014
    Citations: 10

  • A review on vibration energy harvesting technologies: analysis and technologies
    KT Prajwal, K Manickavasagam, R Suresh
    The European Physical Journal Special Topics, 1-13 2022
    Citations: 5

  • Fuzzy based power flow control of two area power system
    K Manickavasagam
    International Journal of Electrical and Computer Engineering (IJECE) 2 (1 2012
    Citations: 5

  • Automatic Generation Control of Multi-Area Power System with Generating Rate Constraints Using Computational Intelligence Techniques
    P Subbaraj, K Manickavasagam
    International Journal of Applied 2 (1), 27-38 2013
    Citations: 4

  • Analysis and design of fuzzy based PWM controller for solar power generation
    S Das, NK Thotakanama, K Manickavasagam
    2017 International Conference on Technological Advancements in Power and 2017
    Citations: 3

  • Neuro-fuzzy-based control for parallel cascade control
    R Karthikeyan, K Manickavasagam, S Tripathi, KVV Murthy
    Chemical Product and Process Modeling 8 (1), 15-25 2013
    Citations: 3

  • Load frequency control of DFIG-isolated and grid connected mode
    K Manickavasagam
    International Journal of Applied Power Engineering (IJAPE) 1 (1), 29-36 2012
    Citations: 3

  • Magnetostriction analysis on doubly fed induction generator under normal and low voltage ride through (LVRT) condition
    T Nikita, K Manickavasagam, S Sachin
    2017 International Conference on Technological Advancements in Power and 2017
    Citations: 2

  • Computational analysis on Doubly fed induction generator to determine core loss under normal and low voltage ride through (LVRT) condition
    T Nikita, K Manickavasagam, S Sachin
    2017 International Conference on Technological Advancements in Power and 2017
    Citations: 2

  • Fuzzy logic based control for parallel cascade control
    R Karthikeyan, T Pahikkala, S Virtanen, J Isoaho, K Manickavasagam, ...
    ICGST-ACSE Journal 10 (1), 39-48 2010
    Citations: 2

  • Loss optimization of urban power distribution system using PSS/ADEPT Software
    MMB Narayanan, O Rajeshkumar, K Manickavasagam, KS Babu, ...
    National conference on recent advancement in electrical machines and energy 2008
    Citations: 2

  • Analyzation of Temperature Rise in Induction Motor for Electric Vehicles
    S Khazi, A Vadde, K Manickavasagam, GR Kadambi, V Narayanan, ...
    Advances in Energy Technology, 173-183 2022
    Citations: 1

  • Measurement of Torque Using Leakage Flux for Induction Motors in Electric Vehicles by Non-invasive Method
    SS Hooli, A Vadde, K Manickavasagam, GR Kadambi
    Innovations in Electrical and Electronic Engineering 168, 489-503 2020
    Citations: 1

  • Assessment of Power System Security using Security Information Index
    K Manickavasagam, S Prasad, H Ramasangu
    IET- Generation, Transmission and Distribution 13 (14), 3040 – 3047 2019
    Citations: 1