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Genetic-fuzzy logic based weightage pattern search for multi objective load dispatch problem.

Author(s)
Y. S. Brar Department of Electrical Engineering G.Z.S. College of Engineering and Technology, Bathinda-151001, Punjab, India
J. S. Dhillon Department of Electrical and Instrumentation Engineering, Sant Longowal Institute of Engineering and Technology, Longowal-148106, Punjab, India
D. P. Kothari Centre for Energy Studies, Indian Institute of Technology, New Delhi-110016, India
Abstract
The study proposes the utility of a genetic algorithm to search for preferred weight age pattern based on fuzzy decision making methodology to achieve the solution of a multiobjective thermal power dispatch problem, which simultaneously minimizes conflicting objective while allocating the electricity demand among the committed generating units subject to physical and technological constraints. Normally interactive multiobjective problems are solved to generate non-inferior solution surface because of their conflicting nature. Afterwards the decision maker is provided with effective tools to resolve the conflict among participating objectives and arrives at a ‘best’ compromising solution. In this study, the weighting method is used to generate non-inferior solutions for the decision maker by solving the problem many times for different set of weights. The ‘best’ compromised solution has been obtained by searching for the optimal weight pattern using genetic algorithm. The weight age pattern that gives a non-inferior solution is chosen as the ‘best’ when it attains maximum satisfaction level from the membership function of the participating objectives. The proposed method circumvents the exhaustive evaluation of complete non-inferior surface needed. The validity of the proposed method has been demonstrated on a 11 bus sample system comprising five generators.
Publication Details
Page(s) 365-373
DOI DOI not available
Published Journal: Asian Journal of Information Technology, Volume: 2, Issue: 4, Year: 2003

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