Environmental/economic dispatch using genetic algorithm and fuzzy number ranking method

Publication Type:
Conference Proceeding
Citation:
Applied Artificial Intelligence - Proceedings of the 7th International FLINS Conference, FLINS 2006, 2006, pp. 59 - 66
Issue Date:
2006-01-01
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© 2006 by World Scientific Publishing Co. Pte. Ltd. This paper establishes a novel environmental/ economic load dispatch model in which the cost and emission functions are with uncertain coefficients. To solve the problem, this study first converts the model into a single objective optimization problem by using a novel weighting ideal point method. A hybrid genetic algorithm with quasi-simplex techniques is then developed to solve the corresponding single objective optimization problem. Fuzzy number ranking method is also applied to compare all fuzzy function values of different points for the single objective function. The test results have convinced the validity of the model and effectiveness of the algorithm used for achieving a solution for the economic dispatch problem.
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