Multi-objective Thermal Power Scheduling by Evolutionary Search Weighted Simulation Techniques
Journal Title: International Journal for Research in Applied Science and Engineering Technology (IJRASET) - Year 2014, Vol 2, Issue 8
Abstract
In the present paper multi-objective thermal power dispatch problem with three objectives and constrains has been addressed. The multi-objective economic-emission dispatch problem is converted into a scalar optimization problem using weighting method. The criterion is to determine a non-inferior solution using weighting method. The decision maker has been provided to search the best alternative from all the possible non-inferior solutions to decrease the computation time as the numbers of objectives are more than two. Hook- Jeeves and Evolutionary search techniques have been implemented to search the “preferred” weightage pattern in the noninferior domain which corresponds to the best optimal solution. Subsequently a Fuzzy methodology has been implemented to decide optimal operating point by interacting with the decision maker. The non-inferior solution which attains maximum satisfaction level from the membership function of participation of objectives has been adjusted the best solution. This proposed method requires few search moves to get the optimal operating point in the non-inferior domain.
Authors and Affiliations
Mrinal Ranjan, Ravi Kumar
Keywords
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- EP ID EP18602
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