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1、《電氣開(kāi)關(guān)》(2015.No.3)文章編號(hào):1004—289X(2015)03—0044—05基于改進(jìn)人工蜂群算法的輸電網(wǎng)擴(kuò)展規(guī)劃周智成,童買(mǎi)成,徐璐,蔡婷(1.廣西電網(wǎng)電力調(diào)度控制中心,廣西南寧530023;2.廣西電網(wǎng)柳州供電局,廣西柳州545005;3.廣西電網(wǎng)防城港供電局,廣西防城港538001)摘要:針對(duì)標(biāo)準(zhǔn)人工蜂群算法存在計(jì)算精度不高、容易陷入局部最優(yōu)和迭代后期速度慢等缺點(diǎn),對(duì)算法提出四點(diǎn)改進(jìn):(1)引領(lǐng)蜂階段引入差分變異算子和交叉算子更新蜜源位置,并用退火選擇策略接受新蜜源;(2)選擇階段采用錦標(biāo)賽選擇策略計(jì)算蜜源被跟隨蜂選擇的概率;(3)跟隨蜂階
2、段引入學(xué)習(xí)因子更新蜜源位置,并用退火選擇策略接受新蜜源;(4)增加對(duì)當(dāng)前最優(yōu)蜜源的混沌局部搜索。改進(jìn)的算法提高了全局和局部搜索能力,有效避免算法過(guò)早陷入局部最優(yōu)。建立以年新建費(fèi)用與年網(wǎng)損費(fèi)用之和最小的輸電網(wǎng)規(guī)劃模型,以Garver一6節(jié)點(diǎn)系統(tǒng)和Garver一18節(jié)點(diǎn)系統(tǒng)為例,驗(yàn)證改進(jìn)人工蜂群算法應(yīng)用于輸電網(wǎng)規(guī)劃中的有效性。關(guān)鍵詞:輸電網(wǎng)規(guī)劃;人工蜂群算法;差分算法;混沌搜索中圖分類(lèi)號(hào):TM715文獻(xiàn)標(biāo)識(shí)碼:BTransmissionNetworkRxpansionPlanningBasedonImprovedArtificialBeeColonyAlgorith
3、mZHOUZhi—cheng,TONGMai—cheng,XULu,CAITing(1.PowerDispatchControlCenter,GuangxiPowerGrid,Nanning530023,China;2.LiuzhouPowerSupplyBureau,GuangxiPowerGrid,Liuzhou545005,China;3.FangchenggangPowerSupplyBureau,GuangxiPowerGrid,F(xiàn)angchenggang538001,China)Abstract:Inviewoftheshortcomingsofst
4、andardartificialbeecolonyalgorithm,includinglowcalculatingaccuracy,be—ingeasetofallintolocaloptimumandcomputingslowlyinthelateroptimizationstage,thepaperproposedsfourstrate—giestoimprovealgorithm.Concreteimprovementstrategiesinclude:(1)adoptthedifferentialmutationfactorandcrossfactor
5、toupdatethepositionofhoney,andacceptanewhoneybytheannealingselectionstrategyintheempoyedbeestage;(2)computetheprobabilitywhichtheeveryhoneyisselectedbyonlookerswithtournamentselectionstrategyintheselectionstage;(3)adoptalearningfactortoupdatethepositionofhoney,andacceptanewhoneybythe
6、annealingselectionstrategyintheonlookerstage;(4)dothechaoticsearchontheoptimalhoney.Improvedalgorithmimprovestheglobalandlocalsearchabilityandavoidstrappinginlocaloptimum.Thispaperbuildthemodelwhichminimizessumofconstructioncostandnetworklosscostinplanningfortransmissionnetwork.Theav
7、ailabilityandeffectivenessofimprovedartificialbeecolonyalgorithmisprovedbyapplyingittoGarver一6一bus—systemandGarver一18一bus—system.Keywords:transmissionnetworkplanning;artificialbeecolonyalgorithm;differentialevolutionalgorithm;chaoticsearch何時(shí)、何地新建何種類(lèi)型的輸電線路。目前對(duì)輸電網(wǎng)引言規(guī)劃研究主要集中在數(shù)學(xué)模型的建立和求解方
8、法上。輸電網(wǎng)規(guī)劃是電力系