schliessen

Filtern

 

Bibliotheken

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

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 distributio... Full description

Journal Title: Water Resources Management 2018, Vol.32(13), pp.4275-4295
Main Author: Wang, Xiaoyu
Other Authors: Yang, Kan , Yang, Liu
Format: Electronic Article Electronic Article
Language: English
Subjects:
ID: ISSN: 0920-4741 ; E-ISSN: 1573-1650 ; DOI: 10.1007/s11269-018-2048-8
Link: http://dx.doi.org/10.1007/s11269-018-2048-8
Zum Text:
SendSend as email Add to Book BagAdd to Book Bag
Staff View
recordid: springer_jour10.1007/s11269-018-2048-8
title: Application Research of Inner-plant Economical Operation by Multi-colony Ant Optimization
format: Article
creator:
  • Wang, Xiaoyu
  • Yang, Kan
  • Yang, Liu
subjects:
  • Multi-colony ant optimization (MCAO)
  • Dynamic economic distribution (DED)
  • Inner-plant economical operation
  • Ramp rate constraints
ispartof: Water Resources Management, 2018, Vol.32(13), pp.4275-4295
description: 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.
language: eng
source:
identifier: ISSN: 0920-4741 ; E-ISSN: 1573-1650 ; DOI: 10.1007/s11269-018-2048-8
fulltext: fulltext
issn:
  • 1573-1650
  • 15731650
  • 0920-4741
  • 09204741
url: Link


@attributes
ID1070147799
RANK0.07
NO1
SEARCH_ENGINEprimo_central_multiple_fe
SEARCH_ENGINE_TYPEPrimo Central Search Engine
LOCALfalse
PrimoNMBib
record
control
sourcerecordid10.1007/s11269-018-2048-8
sourceidspringer_jour
recordidTN_springer_jour10.1007/s11269-018-2048-8
sourcesystemPC
pqid2076593430
galeid551756986
display
typearticle
titleApplication Research of Inner-plant Economical Operation by Multi-colony Ant Optimization
creatorWang, Xiaoyu ; Yang, Kan ; Yang, Liu
ispartofWater Resources Management, 2018, Vol.32(13), pp.4275-4295
identifier
subjectMulti-colony ant optimization (MCAO) ; Dynamic economic distribution (DED) ; Inner-plant economical operation ; Ramp rate constraints
descriptionA 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.
languageeng
source
version4
lds50peer_reviewed
links
openurl$$Topenurl_article
openurlfulltext$$Topenurlfull_article
backlink$$Uhttp://dx.doi.org/10.1007/s11269-018-2048-8$$EView_full_text_in_Springer_(Subscribers_only)
search
creatorcontrib
0Wang, Xiaoyu
1Yang, Kan
2Yang, Liu
titleApplication Research of Inner-plant Economical Operation by Multi-colony Ant Optimization
descriptionA 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.
subject
0Multi-colony ant optimization (MCAO)
1Dynamic economic distribution (DED)
2Inner-plant economical operation
3Ramp rate constraints
general
010.1007/s11269-018-2048-8
1English
2Springer Science & Business Media B.V.
3SpringerLink
sourceidspringer_jour
recordidspringer_jour10.1007/s11269-018-2048-8
issn
01573-1650
115731650
20920-4741
309204741
rsrctypearticle
creationdate2018
addtitle
0Water Resources Management
1An International Journal - Published for the European Water Resources Association (EWRA)
2Water Resour Manage
searchscopespringer_journals_complete
scopespringer_journals_complete
lsr30VSR-Enriched:[orcidid, galeid, pqid, pages]
sort
titleApplication Research of Inner-plant Economical Operation by Multi-colony Ant Optimization
authorWang, Xiaoyu ; Yang, Kan ; Yang, Liu
creationdate20181000
facets
frbrgroupid5830102027611151
frbrtype5
newrecords20180829
languageeng
creationdate2018
topic
0Multi-Colony Ant Optimization (Mcao)
1Dynamic Economic Distribution (Ded)
2Inner-Plant Economical Operation
3Ramp Rate Constraints
collectionSpringerLink
prefilterarticles
rsrctypearticles
creatorcontrib
0Wang, Xiaoyu
1Yang, Kan
2Yang, Liu
jtitleWater Resources Management
toplevelpeer_reviewed
delivery
delcategoryRemote Search Resource
fulltextfulltext
addata
aulast
0Wang
1Yang
aufirst
0Xiaoyu
1Kan
2Liu
au
0Wang, Xiaoyu
1Yang, Kan
2Yang, Liu
atitleApplication Research of Inner-plant Economical Operation by Multi-colony Ant Optimization
jtitleWater Resources Management
stitleWater Resour Manage
addtitleAn International Journal - Published for the European Water Resources Association (EWRA)
risdate201810
volume32
issue13
spage4275
epage4295
issn0920-4741
eissn1573-1650
genrearticle
ristypeJOUR
abstractA 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.
copDordrecht
pubSpringer Netherlands
doi10.1007/s11269-018-2048-8
orcidid0000-0003-1132-0336
pages4275-4295
date2018-10