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

Xiaoyu Wang (), Kan Yang and Liu Yang
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Xiaoyu Wang: Hohai University
Kan Yang: Hohai University
Liu Yang: Hohai University

Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), 2018, vol. 32, issue 13, No 8, 4275-4295

Abstract: 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.

Keywords: Multi-colony ant optimization (MCAO); Dynamic economic distribution (DED); Inner-plant economical operation; Ramp rate constraints (search for similar items in EconPapers)
Date: 2018
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DOI: 10.1007/s11269-018-2048-8

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