Papers by KANNAN SUBRAMANIAN
Renewable Energy, 2016
ABSTRACT
2007 IEEE Congress on Evolutionary Computation, 2007
Reliability evaluation of power generation systems using probabilistic methods has drawn much att... more Reliability evaluation of power generation systems using probabilistic methods has drawn much attention due to their capacity to account for system uncertainties. However, because of the large number of possible failure states involved in the power system, it is normally not viable to exhaustively enumerate and evaluate all the states which may contribute to system failure. Meanwhile, time-dependent sources such as wind turbine generators are being more significantly integrated into the traditional power grid for cleaner power generation. The intermittency of wind power sources further complicates the reliability evaluation process. In this paper, a binary particle swarm optimization (BPSO) is adopted to derive a set of meaningful system states, which significantly affects the adequacy indices of generation system including loss of load expectation (LOLE), loss of load frequency (LOLF), and expected energy not supplied (EENS). A numerical example is used to verify the applicability and validity of the proposed population-based intelligent search (PIS) based evaluation procedure. Especially, a comparative study in relation to the exact method and Monte Carlo simulation (MCS) is carried out.
2014 IEEE International Conference on Advanced Communications, Control and Computing Technologies, 2014
Lecture Notes in Electrical Engineering, 2014
ABSTRACT Lecture notes in electrical engineering, Power Electronics and Renewable Energy Systems.... more ABSTRACT Lecture notes in electrical engineering, Power Electronics and Renewable Energy Systems. Springer India, 2015, Series Volume 326, Chapter 104, pp., DOI , (The International Conference on Power Electronics and Renewable Energy Systems, Proceedings of ICPERES 2014, held at , in association with Springer and IEEE, 24-26 April, 2014).
International Journal of Electrical Power & Energy Systems, 2011
ABSTRACT This paper presents a modified NSGA-II algorithm for economic and emission dispatch prob... more ABSTRACT This paper presents a modified NSGA-II algorithm for economic and emission dispatch problem. The available NSGA-II has the drawbacks such as, lack of uniform diversity in obtained non-dominated solutions and absence of a lateral diversity-preserving operator among the currently-best non-dominated solutions. These two drawbacks have been overcome by introducing dynamic crowding distance (DCD) and controlled elitism (CE) into the NSGA-II. The developed algorithm MNSGA-II has been applied to a standard IEEE 14-, 30-, 57- and 118-bus systems to check its applicability. The results authenticate the potential and effectiveness of MNSGA-II algorithm for CEED problem. Moreover in order to certify the results arrived, four different performance metrics gamma, delta, minimum spacing and Inverted Generational Distance (IGD) were used. These metrics will be supportive for evaluating the closeness to the reference pareto-optimal front. An approach based on Technique for Ordering Preferences by Similarity to Ideal Solution (TOPSIS) is used to decide the choice of a solution from all pareto-optimal solutions, as the best compromise solution.
2014 International Conference on Circuits, Power and Computing Technologies [ICCPCT-2014], 2014
Communications in Computer and Information Science, 2011
2014 International Conference on Circuits, Power and Computing Technologies [ICCPCT-2014], 2014
2014 International Conference on Communication and Signal Processing, 2014
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Papers by KANNAN SUBRAMANIAN