Senthilkumaran Mahadevan
Sri Sivasubramaniya Nadar College of Engineering
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Publication
Featured researches published by Senthilkumaran Mahadevan.
Compel-the International Journal for Computation and Mathematics in Electrical and Electronic Engineering | 2013
Senthilkumaran Mahadevan; Siddharth Raju; Ranganath Muthu
Purpose – The high-frequency common-mode voltage introduced by power converters, using conventional modulation techniques, results in common-mode current that has the potential to cause physical damage to the shaft and bearings of electric drives as well as unwanted tripping of ground fault relays in motor drives and electrical networks. The paper aims to provide a complete elimination of common mode voltage using a matrix converter (MC) with a new modulation strategy that reduces the size of the power converter system considerably. Further, a new MC topology is proposed to eliminate the common mode voltage with improved voltage transfer ratio (VTR). Design/methodology/approach – The direct MC topology is selected, as it is the only converter topology that has the potential to eliminate common mode voltage in direct AC to AC systems. Using the rotating space vector technique, common mode voltage is eliminated but this reduces the VTR of the converter. To improve the VTR, a modified MC topology with a modi...
The Scientific World Journal | 2016
Leo Raju; R. S. Milton; Senthilkumaran Mahadevan
The objective of this paper is implementation of multiagent system (MAS) for the advanced distributed energy management and demand side management of a solar microgrid. Initially, Java agent development environment (JADE) frame work is used to implement MAS based dynamic energy management of solar microgrid. Due to unstable nature of MATLAB, when dealing with multithreading environment, MAS operating in JADE is linked with the MATLAB using a middle ware called Multiagent Control Using Simulink with Jade Extension (MACSimJX). MACSimJX allows the solar microgrid components designed with MATLAB to be controlled by the corresponding agents of MAS. The microgrid environment variables are captured through sensors and given to agents through MATLAB/Simulink and after the agent operations in JADE, the results are given to the actuators through MATLAB for the implementation of dynamic operation in solar microgrid. MAS operating in JADE maximizes operational efficiency of solar microgrid by decentralized approach and increase in runtime efficiency due to JADE. Autonomous demand side management is implemented for optimizing the power exchange between main grid and microgrid with intermittent nature of solar power, randomness of load, and variation of noncritical load and grid price. These dynamics are considered for every time step and complex environment simulation is designed to emulate the distributed microgrid operations and evaluate the impact of agent operations.
international conference on intelligent systems and control | 2016
Leo Raju; R. S. Milton; Senthilkumaran Mahadevan
The objective of this paper is to develop a model for distributed automation of micro-grid using Multi Agent System(MAS) for the advanced control and distributed energy management of a solar micro-grid. A grid connected solar micro-grid model, which contains two solar Photo Voltaic (PV) systems, one in department and other in hostel, each contains a local consumer, a solar PV system and a battery, is modelled in Simulink. Due to unstable nature of MATLAB, when dealing with multi threading environment, MAS operating in Java Agent Development Environment(JADE) is linked with the MATLAB using a middleware, Multi Agent Control using Simulink with Jade extension (MACSimJX). MACSimJX allows the solar micro-grid system designed with MATLAB to be controlled by solar micro-grid agents for realizing the advantages of decentralized approach of MAS. All the agents of solar micro-grid components are programmed in JADE and the results of the coordinated action of these agents are sent to the environment for distributed control and automation of the hardware. JADE leverages the advantage of MAS by its inherent features and hence the operational efficiency of solar micro-grid is further increased. Also the power exchange between main grid and solar micro-grid is optimized by effetive demand side management. Simulation is designed to evaluate impact of autonamous operations of agents.
International Journal of Modelling and Simulation | 2012
Senthilkumaran Mahadevan; Siddharth Raju; Ranganath Muthu
Abstract A dynamic space vector modulation (SVM) approach for matrix converter operation in unbalanced and non-sinusoidal input voltage condition is presented. The concept of varying the modulation index based on the output of the selective harmonic tracking algorithm with reference to the fictitious DC bus is introduced. The complex relationship between output voltage and input voltage vectors of matrix converter for unbalanced and non-sinusoidal conditions is avoided using selective harmonic tracking algorithm. Using the oscillating fictitious DC bus vector, a simplified SVM approach is proposed to operate the matrix converter under extreme input voltage conditions. This approach is based on simple compensation of the output voltage modulation vector with respect to the oscillating fictitious DC bus vector. The unbalanced and non-sinusoidal input voltages are automatically compensated so that the output voltage is balanced and sinusoidal with minimum compromise in the sinusoidal nature of input current. The validity of the selective harmonic tracking algorithm approach is verified through simulation.
Intelligent Automation and Soft Computing | 2018
Leo Raju; R. S. Milton; Senthilkumaran Mahadevan
AbstractThe objective of this paper is to monitor and control a micro-grid model developed in MATLAB-Simulink through Multi Agent System (MAS) for autonomous and distributed energy management. Since MATLAB/Simulink is not compatible with parallel operations of MAS, MAS operating in Java Agent Development Environment (JADE) is linked with MATLAB/Simulink through Multi Agent Control using Simulink with Jade extension (MACSimJX). This allows the micro-grid system designed with Simulink to be controlled by MAS for realizing the advantages of MAS in distributed and decentralized micro-grid systems. JADE agents receive environmental information through Simulink and they coordinate to take best possible action, which is reflected in MATLAB/Simulink simulations. After validation and performance evaluation through dynamic simulations, the operations of the agents at various scenarios are practically verified by using the Arduino microcontroller. These validation and verification moves MAS closer to Smartgrid appli...
ieee india international conference on power electronics | 2014
Ranganath Muthu; Kalyan Govindarajan; Divakhar Anbazhagan; Senthilkumaran Mahadevan
This paper describes the direct torque and flux control strategy for an induction motor with open-end stator winding fed by a matrix converter at each end of its terminal. Use of the matrix converters instead of the conventional power converters eliminates the DC-link in the AC-DC-AC converter. Triggering the matrix converter using the rotating space vectors eliminates the common mode voltage at the machine terminals. The input-side power factor is also controlled by using the rotating vectors. The simulation is carried out in Simulink®/MATLAB® and the results show that the common mode voltage is eliminated while maintaining input power factor at unity.
Archive | 2014
Anitha Roseline Johnson; Senthilkumaran Mahadevan; Senthil Kumaran
Turkish Journal of Electrical Engineering and Computer Sciences | 2018
Murugesan Kullan; Senthilkumaran Mahadevan; Anitha Roseline Johnson; Ranganath Muthu
Turkish Journal of Electrical Engineering and Computer Sciences | 2017
Leo Raju; Milton Sakaya; Senthilkumaran Mahadevan
Archive | 2014
Sanjay Shreedharan; Sibi Sankar; Senthilkumaran Mahadevan