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《基于量子粒子群算法多目標(biāo)優(yōu)化的配電網(wǎng)動(dòng)態(tài)重構(gòu).pdf》由會(huì)員上傳分享,免費(fèi)在線閱讀,更多相關(guān)內(nèi)容在行業(yè)資料-天天文庫(kù)。
1、第43卷第16期電力系統(tǒng)保護(hù)與控制V_oI_43NO.162015年8月l6日PowerSystemProtectionandControlAug.16,2015基于量子粒子群算法多目標(biāo)優(yōu)化的配電網(wǎng)動(dòng)態(tài)重構(gòu)文娟,譚陽(yáng)紅,雷可君(1.湖南大學(xué),湖南長(zhǎng)沙410012;2.南華大學(xué),湖南衡陽(yáng)421000)摘要:為保證配電網(wǎng)動(dòng)態(tài)重構(gòu)后系統(tǒng)安全穩(wěn)定的運(yùn)行,提出了以網(wǎng)損和節(jié)點(diǎn)電壓穩(wěn)定性為目標(biāo)函數(shù)的量子粒子群算法的配電網(wǎng)動(dòng)態(tài)重構(gòu)。針對(duì)配電網(wǎng)動(dòng)態(tài)重構(gòu)過(guò)程中時(shí)段劃分問(wèn)題,提出以負(fù)荷曲線的單調(diào)性和幅值變化大小為依據(jù)初步劃分時(shí)間段落。采用整數(shù)型量子粒子群算法進(jìn)行動(dòng)態(tài)重構(gòu),重
2、構(gòu)過(guò)程中以相鄰時(shí)段的網(wǎng)損變化值的關(guān)系獲取最佳重構(gòu)段落,然后綜合考慮配電網(wǎng)網(wǎng)損最小和節(jié)點(diǎn)電壓值最大且波動(dòng)最小為目標(biāo)尋找最佳重構(gòu)結(jié)構(gòu)。以IEEE33配電系統(tǒng)為例驗(yàn)證了所提方法的有效性和實(shí)用性。關(guān)鍵詞:配電網(wǎng);動(dòng)態(tài)重構(gòu);最優(yōu)重構(gòu)次數(shù);多目標(biāo);整數(shù)型量子粒子群算法Multi-objectiveoptimizationofdistributionnetworkdynamicreconfigurationbasedonintegercodedquantumparticleswarmoptimizationalgorithmWENJuan一,TANYanghong,
3、LEIKejun(1.HunanUniversity,Changsha410012,China;2.NanhuaUniversity,Hengyang421000,China)Abstract:Toensurethedynamicreconfigurationofdistributionnetworksystemsafeandstableoperation,adynamicreconfigurationmethodfordistributionnetworkisproposedbasedonintegercodedquantumparticleswar
4、lnoptimizationalgorithmwhichtakestheminimumnetworklossandnodevoltagestabilityastheobjectivefunction.First,adayofloadforecastingcurveisdividedintoseveraltimeintervalsbasedonitsmonotonicityandamplitudechanges.ThenintegerquantumparticlesWarlTIoptimizationalgorithmisadoptedtorealize
5、dynamicdistributionnetworkreconfiguration.Inordertofindthebestnumberofrefactoring,theoptimaltimerefactoringfunctionisproposedbasedonadjacenttimerefactoringchangesvaluenetworkloss.Inconsiderationofthepowerdistributionnetworklossminimumandnodevoltagefluctuationslargestandsmallestf
6、urthetarget,wearelookingforbestreconstructionofthedistributionnetworkstructureonthebasisoflEEE33distributionsystem,thereconstructedresultsverifythevalidityoftheproposedmethod.ThisworkissupportedbyNationalNaturalScienceFoundationofChina(No.61102039andNo.51107034)andNaturalScience
7、FoundationofHunanProvince(No.14JJ7029).Keywords:powerdistributionnetwork;dynamicreconfiguration;optimalnumberofrefactoring;multi—objective;integercodedquantumparticleswarmoptimizationalgorithm中圖分類號(hào):TM76文獻(xiàn)標(biāo)識(shí)碼:A文章編號(hào):1674.3415(2015)16.0073.06經(jīng)濟(jì)和高效的操作過(guò)程,考慮負(fù)荷變化的配網(wǎng)動(dòng)態(tài)O引言重構(gòu)更加貼近電網(wǎng)的實(shí)際情況,更
8、具有實(shí)用價(jià)值。配電網(wǎng)絡(luò)重構(gòu)在減少電網(wǎng)損耗、平衡負(fù)載及電配網(wǎng)的動(dòng)態(tài)重構(gòu)是離散時(shí)空組合的最優(yōu)化問(wèn)網(wǎng)