Generation Unit Capacity Expansion Planning Analysis: Approach Using Real Coded Improved Genetic Algorithm

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This paper provides information about the development of an algorithm called Real Coded Improved Genetic Algorithm (RCIGA). And it leads to a plan for generating units of power with minimum cost and that plan is called as Generation Unit Expansion Planning (GUEP) problem. GUEP is a fully forced non linear system. And this can be solved by technique called genetic algorithm. RCIGA helps in providing faster speed and the space which helps in searching also is increased. RCIGA helps in calculating the combination of units through which the minimum cost can be obtained and units of power should meet out the conditions of the forecasted demands.

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Edited by:

R. Edwin Raj, M. Marsaline Beno and M. Carolin Mabel

Pages:

190-196

Citation:

M. J. Ahila et al., "Generation Unit Capacity Expansion Planning Analysis: Approach Using Real Coded Improved Genetic Algorithm", Applied Mechanics and Materials, Vol. 626, pp. 190-196, 2014

Online since:

August 2014

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$38.00

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