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- W2366657245 abstract "A new model of unit maintenance scheduling(UMS) problem whose objective function is economic cost is presented.Unit commitment(UC) problem is considered to calculate production cost as production cost occupies a considerable proportion in economic cost.UMS optimization which takes UC optimization into account is a bilevel programming in which the UMS is upper level and the UC is lower level.A modified discrete particle swarm optimization(MDPSO) algorithm applied to search optimum solution of the UMS,which is upper level of the bilevel optimization is proposed.Lower level of the beilevel optimization applies the Lagrangian relaxation method because this method is fast and precise to solve UC optimization.With the new model,the MDPSO algorithm is compared with DPSO in UMS optimization of the IEEE-RTS test system,the result shows that OPSO has high precision and fast convergence speed." @default.
- W2366657245 created "2016-06-24" @default.
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- W2366657245 date "2010-01-01" @default.
- W2366657245 modified "2023-09-23" @default.
- W2366657245 title "A modified discrete particle swarm optimization algorithm to unit maintenance scheduling with unit commitment" @default.
- W2366657245 hasPublicationYear "2010" @default.
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