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Proceedings of

International Conference On Advances In Electronics, Electrical And Computer Science Engineering EEC 2012

"AN EFFICIENT AND IMPROVED GENETIC ALGORITHM APPROACH TO SOLVE ECONOMIC DISPATCH WITH LINEFLOW CONSTRAINTS"

K.NISHA R.P.KUMUDHNI DEVI
DOI
10.15224/978-981-07-2950-9-9877
Pages
463 - 467
Authors
2
ISBN
978-981-07-2950-9

Abstract: “In this paper an efficient method of ordinary genetic algorithm (OGA) has been proposed to solve economic dispatch (ED) problem with line flow constraints. The proposed method uses the situation where if more number of candidates participate in a competition, the chance of getting a good candidate is better. The set of population directed by evolutionary direction operator, gets directed towards the global optimal solution. The proposed technique is called efficient and improved genetic algorithm (EIGA) and has been tested on IEEE 30 bus system. The new technique is compared with OGA and improved genetic algorithm (IGA). Numerical results imply that the quality of the solution is better and time consumed (in terms of computer cycles ) to get the result is less using the new method as compared with the other two methods.”

Keywords: optimization, ED, evolutionary direction.

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