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Water Resources Management

Erschienen in:

26.07.2018

Application Research of Inner-plant Economical Operation by Multi-colony Ant Optimization

verfasst von: Xiaoyu Wang, Kan Yang, Liu Yang

Erschienen in: Water Resources Management | Ausgabe 13/2018

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Abstract

A new multi-colony ant optimization (MCAO) combined with a dynamic economic distribution (DED) technique has been proposed for the economical operation of the inner-plant of a hydropower station. MCAO and DED are applied to solve the unit commitment (UC) sub-problem and the economic load distribution (ELD) sub-problem consolidating the ramp rate constraints for the entire schedule. Moreover, a patching mechanism is developed to converge quickly on the optimal solution in two respects: minimum up/down and spinning reserve. A mechanism mitigates the premature convergence by measuring the uncertainty of pheromone with information entropy. A local research technique enriches the diversity of solution space by selecting the derived solutions from the perturbation mechanism. In comparison with the genetic algorithm, the particle swarm optimization, and the ant colony optimization, the MCAO is significantly robust and provides better solutions to the economical operation problem of hydropower stations. Numerical simulations exhibit the superiority of the DED technique regarding stably and quickly consolidating the ramp rate constraints.

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Titel: Application Research of Inner-plant Economical Operation by Multi-colony Ant Optimization
verfasst von: Xiaoyu Wang
Kan Yang
Liu Yang
Publikationsdatum: 26.07.2018
Verlag: Springer Netherlands
Erschienen in: Water Resources Management / Ausgabe 13/2018
Print ISSN: 0920-4741
Elektronische ISSN: 1573-1650
DOI: https://doi.org/10.1007/s11269-018-2048-8

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