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- W3202460585 abstract "Economic dispatch (ED) is the determination of optimized real power output froma number of electricity generators needed to meet load requirements at lowest possiblecost. Real-world ED problems have non-convex objective functions with complexconstraints due to the generators characteristics such as valve point loading effects,usage of multiple fuel options and the existence of prohibited operating zones. Thisleads to the difficulty in finding the global optimal solution. This thesis presents anew application for solving non-convex ED problems by using mean-variancemapping optimization (MVMO) techniques. MVMO algorithm has conceptualsimilarities with other known metaheuristic algorithms which use three evolutionaryoperators: selection, mutation and crossover. However, the special feature ofMVMOis the mapping function applied for the mutation based on the mean and variance of nbestarchived population. The original MVMO utilizes a single particle to start thesearch process." @default.
- W3202460585 created "2021-10-11" @default.
- W3202460585 creator A5040223272 @default.
- W3202460585 date "2015-08-01" @default.
- W3202460585 modified "2023-09-27" @default.
- W3202460585 title "MEAN-VARIANCE MAPPING OPTIMIZATION TECHNIQUES FOR NONCONVEXECONOMIC DISPATCH PROBLEMS" @default.
- W3202460585 hasPublicationYear "2015" @default.
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