S
S. Tamilselvi
Researcher at Sri Sivasubramaniya Nadar College of Engineering
Publications - 23
Citations - 218
S. Tamilselvi is an academic researcher from Sri Sivasubramaniya Nadar College of Engineering. The author has contributed to research in topics: Computer science & Evolutionary algorithm. The author has an hindex of 4, co-authored 16 publications receiving 115 citations. Previous affiliations of S. Tamilselvi include Sri Venkateswara College of Engineering & Thiagarajar College of Engineering.
Papers
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Journal ArticleDOI
A Review on Battery Modelling Techniques
S. Tamilselvi,S. Gunasundari,N. Karuppiah,Abdul Razak Rk,S. Madhusudan,Vikas Madhav Nagarajan,T. Sathish,Mohammed Zubair M. Shamim,C. Ahamed Saleel,Asif Afzal +9 more
TL;DR: An extensive study of various battery models such as electrochemical models, mathematical models, circuit-oriented models and combined models for different types of batteries, and the approaches, advantages and disadvantages of black box and grey box type battery modelling are analysed.
Genetic algorithms solution to generator maintenance scheduling with modified genetic operators
TL;DR: It is placed in evidence that only integer coding GA finds the global optimum solution, irrespective of the nature of the objective function and system size, when solving the generator maintenance scheduling problem with modified genetic operators.
Journal ArticleDOI
Modified parameter optimization of distribution transformer design using covariance matrix adaptation evolution strategy
S. Tamilselvi,S. Baskar +1 more
TL;DR: In this paper, the application of covariance matrix adaptation evolution strategy (CMA-ES) for distribution TD, minimizing four objectives; purchase cost, total life-time cost and total mass and total loss individually.
Journal ArticleDOI
Multi objective evolutionary algorithm for designing energy efficient distribution transformers
TL;DR: ICMDRA is identified as a superior algorithm for transformer design, in terms of diversity and convergence, and the core loss calculation of the transformer designed using the proposed methodology is validated by 3D-FEM assessment and experimental prototype setup for a 200kVA transformer.
Journal ArticleDOI
Optimum placement of multi type DG units for loss reduction in a radial distribution system considering the distributed generation
TL;DR: An effective methodology to identify the optimum location of multi type DG in the distribution system and the results reveal that power loss reduction and voltage profile improvement are effectively addressed by the DE algorithm.