Dr. Vijaya Chandrakala K. R. M. currently serves as Assistant Professor at Department of Electrical and Electronics, School of Engineering, Coimbatore Campus. Her areas of research include Power System.

Dr. K.R.M. Vijaya Chandrakala joined Amrita School of Engineering in the year 2009. She did her B. Tech., from NSS College of Engineering and M. Tech., in Electrical Power Systems from Trichur College of Engineering, Kerala.

She has been awarded with the  Ph. D. Degree from Anna University, Chennai, during the year 2013 on Load Frequency Control of Multi Source Multi Area Hydro Thermal System using Soft Computing Techniques and FACTS Devices. She has two years of teaching experience in postgraduate programs and eleven years in undergraduate programs.

Dr. K. R.M. Vijaya Chandrakala is a project group member in DST - VINNOVA Smart Grid project with KTH, Sweden. She has published 06 Articles in peer reviewed impact factor International Journals out of which one is Elsevier. She has also published 09 articles in International / National Conferences.

She has attended several short term courses, seminars and conducted FDP on MATLAB for the faculty and student members and delivered several lectures for the faculty, student members (UG/PG) within campus and outside in the area of Electrical Engineering, Power Systems and Soft Computing Techniques. Her research interest includes Power System Control, FACTS Devices and Soft Computing Techniques to Micro and Smart Grid.

Dr. K. R.M. Vijaya Chandrakala is a Technical Reviewer of Electrical Power Components and Systems, Taylor and Francis and International Journal of Artificial Intelligence and Soft Computing Journals.

She has guided several undergraduate and postgraduate projects in inter disciplines and intra University of Amrita Vishwa Vidyapeetham under the area of Power Systems,  Power Electronics, FACTS Devices, Embedded Systems, Bio-medical Instrumentation and Soft Computing Techniques.



Publication Type: Conference Proceedings
Year of Publication Publication Type Title
2014 Conference Proceedings N. Gayathri and Chandrakala, K. R. M. Vijaya, “A novel technique for optimal vehicle routing”, Electronics and Communication Systems (ICECS), 2014 International Conference on. IEEE, Coimbatore, 2014.[Abstract]

This paper proposes a novel approach in finding an optimal solution for vehicle routing. The intention here is to find the shortest time path between different points. Dijkstra's algorithm is a very popular technique used in communication networks for data routing and in path planning of robots. Normally the implementation of Dijkstra's algorithm involves initialization of weights depending upon a particular cost metric, namely, distance. Based on an analysis of these weights, a choice of right path is made. This conventional approach states that the shortest path will take minimum time to travel. However this may not always be true. Even depending on the traffic conditions prevailing at that particular instant, the time taken may vary. The proposed work takes into consideration the traffic density in a particular path which influences the time taken for travel and then suggests an optimal path. The results are validated using concepts of Object Oriented Programming and tested in a hardware environment using PIC16F877a micro controller.

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2014 Conference Proceedings Na Gayathri and Chandrakala, K. R. M. Vijaya, “Embedded driver assistance system for effective dynamic vehicle routing”, International Conference on Embedded Systems, ICES 2014. Institute of Electrical and Electronics Engineers Inc., pp. 182-187, 2014.[Abstract]

This paper proposes a prototype of a system that considers the real time traffic scenario on the road to implement dynamic vehicle routing. Conventionally, a path which is shorter in distance is considered to take minimum travel time. However, this need not always be true. Depending upon the traffic density prevailing on the road at the given instant, the travel time may vary. The proposed system is developed with the help of a data fusion algorithm. The data fusion algorithm is prepared based on the information obtained from a mathematical model developed using Dijkstra's Algorithm and from Image Processing based on real time scenario. The entire system is made stand alone by using eBox. At the end of computation, the system provides assistance to the driver in choosing the path that would take minimum time for travel. © 2014 IEEE.

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2012 Conference Proceedings S. Balamurugan, Selvakumar, S., and Chandrakala, K. R. M. Vijaya, “Improvement of transient stability of the power system using small Magnetic Energy Storage”, IEEE-International Conference on Advances in Engineering, Science and Management, ICAESM-2012. EGS Pillay Engineering College, Nagapattinam, Tamil Nadu, pp. 68-71, 2012.[Abstract]

Power system is a huge labyrinth of generation, transmission and large scale distribution of electrical power. Disturbances in the power system cause ineffective transfer of power and create problems to system stability. With the advancement of superconducting technology, Superconducting Magnetic Energy Storage device (SMES) can be used in stabilizing the system. In this paper the effects of SMES on Single Machine connected to Infinite Bus bar system, is studied. The SMES unit dampens the power system oscillations and improves the dynamic performance. © 2012 Pillay Engineering College.

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Publication Type: Journal Article
Year of Publication Publication Type Title
2013 Journal Article K. R. M. Vijaya Chandrakala, Balamurugan, S., and Sankaranarayanan, Kb, “Variable structure fuzzy gain scheduling based load frequency controller for multi source multi area hydro thermal system”, International Journal of Electrical Power and Energy Systems, vol. 53, pp. 375-381, 2013.[Abstract]

In this paper, variable structure fuzzy gain scheduling is proposed for solving the load frequency control problem of multi source multi area hydro thermal power system. The two control areas are connected via tie line. Each area comprises of both hydro and thermal power plant. The area frequency and tie line power oscillates during load variations are controlled by primary governor controller and secondary Proportional Integral (PI) controller. The PI controller gains are tuned using Ziegler Nichols' (ZN) method and Genetic Algorithm (GA). ZN method is for conventional bench marking and GA is based on search in the space. In both the methods, the gain values of PI controllers are fixed for any system changes and it is not acceptable. This problem is overcome by scheduling the gain based on system changes using Fuzzy Logic. Finally, Variable Structure System of switching P to PI controller during transient to steady state is integrated with fuzzy gain scheduling. On evaluating all the controller performance based on performance indices, variable structure fuzzy gain scheduling provides better response for multi source multi area hydro thermal power system. © 2013 Elsevier Ltd. All rights reserved.

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2012 Journal Article K. R. M. Vijaya Chandrakala, Balamurugan, S., and Sankaranarayanan, Kb, “Development of variable structure fuzzy gain scheduling controller for an interconnected power system”, International Review on Modelling and Simulations, vol. 5, pp. 2228-2234, 2012.[Abstract]

This paper investigates on enhanced Load Frequency Control of two-area hydrothermal power plant when subjected to unit step load disturbance. The frequency and tieline power deviations are controlled using conventional Proportional and Integral controller tuned using Zeigler Nichols' method. By switching the controller action during transient and steady state period using Variable Structure System, the performance is improved. Fuzzy Gain Scheduling further improves the system performance by changing the proportional and integral gain according to the variations in the power plant. Finally, Variable Structure Fuzzy Gain Scheduling Controller is developed by integrating Fuzzy in Variable Structure System Controller resulting better controller action during transient and steady state period. The performance of these controllers is judged using Integral Time Absolute Error and Integral Time Squared Error techniques. © 2012 Praise Worthy Prize S.r.l. - All rights reserved.

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2012 Journal Article K. R. M. Vijaya Chandrakala, Balamurugan, S., and Sankaranarayanan, Kb, “Genetic algorithm tuned optimal variable structure system controller for enhanced load frequency control”, International Review of Electrical Engineering, vol. 7, pp. 4105-4112, 2012.[Abstract]

In this paper, the Load Frequency Control (LFC) is enhanced with optimal gains of the Variable Structure System (VSS) Controller tuned using Genetic Algorithm (GA). For analysis, two-area thermal and hydrothermal power plants are considered in this paper. Conventionally, Proportional Integral Derivative (PID) controller is used to control frequency and tie-line power deviations. To improve the PID control action during transient and steady state period, the PID controller is replaced by VSS Controller. The gains of the controllers are tuned using Zeigler Nichols' (ZN) and further with GA optimization technique. The performance of the controller is judged using Integral Time Absolute Error (ITAE) method. On analysis, it is observed that frequency and tie-line power deviations are improved using GA tuned VSS controller. © 2012 Praise Worthy Prize S.r.l. - All right reserved.

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2012 Journal Article K. R. M. Vijaya Chandrakala, Balamurugan, S., and Sankaranarayanan, K., “Damping of tie-line power oscillation in interconnected power system using variable structure system and unified power flow controller”, Journal of Electrical Systems, vol. 8, pp. 85-94, 2012.[Abstract]

This paper focuses on systematic approach towards damping the tie-line power oscillations in an interconnected thermal power plant using Unified Power Flow Controller (UPFC) with Variable Structure System (VSS) Controller. Conventionally, Automatic Generation Control (AGC) is carried out by primary governor control and secondary Proportional-Integral (PI) controller. PI controller helps to damp out tie-line power and frequency oscillations when subjected to unit step load disturbance. Ziegler Nichols' (ZN) method is used in tuning the gains of conventional PI controller and VSS controller. Optimal switching of VSS controller is carried out by the performance indices. UPFC based damping controller helps to stabilize the tie-line power oscillations of power system. The simulation indicates reduced frequency and tieline power transient with much faster settling time is obtained by using UPFC along with secondary VSS controller. © JES 2012.

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Publication Type: Conference Paper
Year of Publication Publication Type Title
2013 Conference Paper K. R. M. Vijaya Chandrakala, Balamurugan, S., Selvakumar, S., and R Xavier, J., “Fuzzy Gain Schedule and Genetic Algorithm based PI controller for Gas Turbine Plant”, in X National Conference on Control Instrumentation System Conference (CISCON-2013), Manipal Institute of Technology, Manipal, 2013.
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