Qualification: 
Ph.D, M.E
rr_lekshmi@cb.amrita.edu

Dr. Lekshmi R. R. joined Amrita School of Engineering in 2008. She received her B. Tech. (Electrical and Electronics Engineering) degree from Cochin University of Science and Technology, Kerala and M. E.(Power Systems Engineering) degree from Anna University, Tamil Nadu. She has been awarded her Ph. D. (titled “GENCO and TRANSCO Reserve Based Control Strategy for Load Frequency Control in Deregulated Power System”) from Amrita Vishwa Vidyapeetham. She has received the best paper award for the article titled “Area and Economic Participation Factor Calculation of GENCOs in a Multi-Area Competitive Power System” in IEEE International Conference on Circuit, Power and Computing Technologies, 2017.

Dr. Lekshmi has guided many B. Tech. and M. Tech. projects. She has served as Organizing Committee Member in various international conferences.

She is guiding M. Tech. and B. Tech. students in the area of Deregulated Power System, Power System Operation and Control, and Soft Computing.

Publications

Publication Type: Journal Article

Year of Conference Title

2018

Lekshmi R. R. and Dr. Balamurugan S., “Load Following Under Different Market Models in a Restructured Power System”, Journal of Electrical Systems, vol. 14, no. 1, pp. 72– 85, 2018.[Abstract]


Load following is one of the major components which ensures the secured operation of power systems. The complexity of the load following control strategy increases when the system operates under deregulated environment. A load following system has to control not only the frequency and tie line power but also the power generation as per the contract. The contract is decided by any one of the three market model namely single buyer, bilateral and poolco model. This paper develops load following system operating under different models. The generalized factors based on which the load following satisfies the scheduled and violated power are computed for all market models. Finally the system is simulated under different models with contract violation to justify the performance of load follower. The developed generalized market participation factors and violation participation factors make the load follower to yield desired secured power system.

More »»

2017

S. Selva Kumar, Jayapriya M, Shashank Yadava, Ram Aravind R, Sathvik S., and Lekshmi R. R., “Implementation of Fuzzy Based Frequency Stabilization Control Strategy in Raspberry Pi for a Wind Powered Microgrid”, Procedia Computer Science, vol. 115, pp. 151-158, 2017.[Abstract]


The microgrid has become an integral technology in the power systems, which eventually provide an option to integrate renewable technologies. The intermittent characteristics of these renewable energy based units are effectively utilized with the help of battery units. This paper deals with the development and implementation of a fuzzy logic based control strategy that manages the charging and discharging of battery units depending on the generation-demand mismatch and battery status in a wind powered microgrid to stabilize the frequency fluctuation. The proposed strategy is developed using Python 2.7 language and implemented in Raspberry Pi 3 development board. © 2017 The Author(s).

More »»

2016

Lekshmi R. R., B., S., C. Sujith, V. Sreya, and , “Integrating ARM Based Controller for a Single Area Deregulated LFC Modeled in LabVIEW”, Middle-East Journal of Scientific Research, vol. 24, pp. 566– 572, 2016.[Abstract]


Deregulation in power system results in separate entities like generating company, distribution company, transmission company and independent system operator. The reliability and stability of the system is the responsibility of the independent system operator that provides many ancillary services, one of which is load frequency control. In a deregulated power system, the GENCOs generate to meet the contracted demand of the distribution companies via load frequency control. This paper presents a hardware development of control strategy and its integration with the single area deregulated load frequency control model in LabVIEW. The transfer function model of the deregulated single area system is modeled in LABVIEW. The secondary controller (Integral controller), responsible for maintaining the frequency at nominal value is developed in ARM processor and is interfaced with LABVIEW. The proposed system is tested for the effectiveness of the developed controller during contracted condition and demand violation.

More »»

2016

Dr. Balamurugan S. and Lekshmi R. R., “Control strategy development for multi source multi area restructured system based on GENCO and TRANSCO reserve”, Elsevier - International Journal of Electrical Power & Energy Systems, vol. 75, pp. 320 - 327, 2016.[Abstract]


Abstract This paper modifies the traditional Automatic Generation Control scheme based on tie line bias control. The proposed scheme takes the GENCO reserve and TRANSCO corridor into account to permit the unscheduled power transactions. The suggested control scheme is demonstrated on a deregulated multi source multi area system. Control strategies for the deregulated system are developed to manage the contract violation for all possible combinations of GENCO reserve and TRANSCO corridor. The results obtained from the proposed scheme are found to be effective in regulating frequency and power exchange between the areas during contract violation.

More »»

2014

K. Bipina and Lekshmi R. R., “Modelling of Demand management for a wind battery powered micro grid”, International Journal of Science and Technology, vol. 30, no. 30, pp. 16 – 21, 2014.

2014

S. Balamurugan, Shanthini, B. M., Lekshmi R. R., and Dr. Vijaya Chandrakala K. R. M., “Fuzzy Based Tariff”, Journal of Electrical Systems, vol. 10, pp. 465 - 471, 2014.[Abstract]


In deregulated and smart grid system, time based tariff is implemented using complex communication system. This time based tariff depending on market clearing price initiates demand management. Moreover, the consumer supporting the utility by adopting demand management technique is not benefited directly by the utility. In this paper, tariff is locally decided by the smart meter based on change in frequency and change in demand using Fuzzy logic. Based on the relation between change in frequency and change in demand with tariff, fuzzy rules are developed. On implementing fuzzy based tariff, the consumers supporting utility by doing demand management gets more benefited without using the complex communication network. [ABSTRACT FROM AUTHOR] More »»

2013

Roopa R. and Lekshmi R. R., “Implementation of Grid Interface for Generation Side Power Management”, International Journal of Engineering Research and Technology (IJERT), vol. 1, no. 3, 2013.

Publication Type: Conference Paper

Year of Conference Title

2017

Lekshmi R. R. and Dr. Balamurugan S., “Area and Economic Participation Factor Calculation of GENCOs in a Multi Area Competitive Power System”, in In Proc. of IEEE International conference on Circuit, power and computing technologies, Baselios Mathews II college of Engineering, Kollam, India, 2017.[Abstract]


Deregulation creates competitive market with GENCOs and DISCOs as the market players. The GENCO offers and DISCO bids are submitted to market operator who clears the market with the aim to maximize social welfare. The power trading is done in an open access between in-merit GENCOs and DISCO. The allotted power demand of each in-merit DISCO is met by in-merit GENCOs that generates contracted power. Thus, GENCOs share a portion of the power demand of each DISCO. The contribution of each GENCO to meet power demand of a DISCO is represented in terms of area participation matrix. During contract violation, willing GENCOs shares the un-contracted power demand based on economic participation factor. Thus, GENCOs generate the contracted (during contracted condition) and un-contracted power (during violation) based on area participation factors and economic participation factors respectively. This is achieved with the help of automatic generation control. This paper assumes a two area system with different market conditions and develops a generalized mathematical expression to calculate these factors based on the allotted in-merit GENCO power and available willing GENCO power. These factors are then incorporated in the mathematical model of two area system under deregulated environment. The performance of the developed model is tested under tie line bias control strategy to check whether the GENCOs and TRANSCO power is based on the participation factors.

More »»

2016

Lekshmi R. R., K., H., P., S., Raj, V., and Narula, A., “Fuzzy gain schedule based load frequency control of multi area thermal system under deregulated environment”, in 2016 IEEE International Conference on Power Electronics, Drives and Energy Systems (PEDES), 2016.[Abstract]


Restructured power system creates independent utilities like generation, transmission, distribution companies and independent system operator. In the deregulated system, demand of each DISCO is met by many GENCOs. The system operator that takes care of the stability and reliability of the system offers many ancillary services. One of the ancillary services responsible for maintaining the system frequency and tie line power within limits is the load frequency control. During contract violation, the governor re-schedules the generator output to meet the un-scheduled demand. However, the frequency and tie line power deviates from the nominal value. These parameters are brought back within limits with the help of secondary proportional integral controller. The article applies the concept of fuzzy gain scheduling method to tune the secondary controller. The fast and effective response is checked and validated using performance indices.

More »»

2014

S. Balamurugan, Janarthanan, N., Dr. Vijaya Chandrakala K. R. M., and Lekshmi R. R., “Laboratory Model for Teaching Real Power Flow Control in Transmission Line”, in 2014 IEEE Sixth International Conference on Technology for Education, 2014.[Abstract]


This paper explains the experiments developed in the laboratory to teach undergraduate students the different aspects of power system operation and control. Simulation software are used in most of the colleges to teach different aspects of power system. Students feel difficult to understand the power system behavior in physical sense. This paper describes a model power system built in the Electrical Engineering Department of Amrita School of Engineering, Coimbatore. The model consists of two bus system connected by two parallel transmission lines. The power flow in the transmission line is controlled by varying voltage magnitude, line reactance, passive and active series compensation.

More »»

2013

Dr. Balamurugan S. and Lekshmi R. R., “Adaptive Demand Management System”, in X National Conference on Control Instrumentation System Conference (CISCON-2013), Manipal Institute of Technology, Manipal, 2013.

Publication Type: Conference Proceedings

Year of Conference Title

2016

Lekshmi R. R., Dr. Balamurugan S., and K., S. K., “Decentralised Automatic Generation Control Strategy for a Three Area Bilateral Power Market”, IEEE international conference on Power and Energy Systems: Towards sustainable Energy PESTSE - 2016. IEEE, Department of Electrical and Electronics Engineering, Amrita School of Engineering, Bengaluru , p. 337, 2016.[Abstract]


Restructured power system creates a competitive environment where different players like generating and distribution companies enter into auction or negotiations. Under bilateral model, GENCOs schedule power based on the contracts made with the DISCOs. Moreover, the transmission companies are made to operate at the contracted value. Ensuring system stability and reliability is a big challenge under restructured power system. The paper proposes a control strategy for load frequency control in a three area deregulated power system, with the objective to regulate the system frequency and TRANSCO power variation. The effectiveness of the control strategy is tested during contract violations.

More »»

2011

A. Anand S. and Lekshmi R. R., “Automated Control of Real Power Flow through Transmission Line Using TSSC and PIC Micro-Controller”, International Conference on Enhancements in Power Electronics and Controls. PSG College of Technology, 2011.

2008

Lekshmi R. R. and Devaraj, D. D., “Evolutionary computational Techniques for OPF with FACTS”, National Conference on Computational Intelligence on Power Apparatus and Systems-08. SRM University, Chennai, 2008.