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1、第41卷第24期電力系統(tǒng)保護(hù)與控制VoI．41NO．242013年12月16日PowerSystemProtectionandControlDec．16．20】3基于混合量子遺傳算法的微電網(wǎng)電源優(yōu)化配置符楊，蔣一鎏，李振坤(上海電力學(xué)院電氣工程學(xué)院，上海200090)摘要：根據(jù)風(fēng)光資源情況、各分布式電源輸出特性以及用戶(hù)對(duì)供電可靠性的要求，研究了風(fēng)光儲(chǔ)互補(bǔ)獨(dú)立微電網(wǎng)電源優(yōu)化配置問(wèn)題。采用自適應(yīng)罰函數(shù)法對(duì)其目標(biāo)函數(shù)進(jìn)行修正，使得在滿(mǎn)足用戶(hù)供電可靠性要求的前提下，經(jīng)濟(jì)性達(dá)到最好。在求解過(guò)程中，結(jié)合自適應(yīng)旋轉(zhuǎn)角調(diào)整策略、量子位交叉變異操作和群體災(zāi)變思想，提出了一種新的混
2、合量子遺傳算法。最后，對(duì)一個(gè)實(shí)際算例進(jìn)行仿真，將其優(yōu)化結(jié)果與典型量子遺傳算法和普通遺傳算法的優(yōu)化結(jié)果進(jìn)行對(duì)比，結(jié)果表明，該方法不僅能快速收斂，而且全局尋優(yōu)能力強(qiáng)。關(guān)鍵詞：微電網(wǎng)；電源優(yōu)化配置；孤島運(yùn)行；量子遺傳算法；自適應(yīng)旋轉(zhuǎn)角調(diào)整；群體災(zāi)變；自適應(yīng)罰函數(shù)OptimalallocationofdistributedgenerationformicrogridbasedonhybridquantumgeneticalgorithmFUYang．JIANGYi—liu．MZhen—kun(SchoolofElectricPowerEngineering，Shangh
3、aiUniversityofElectricPower，Shanghai200090，China)Abstract：Thispaperstudiestheoptimalallocationofhybridsolar—windislandmicrogridaccordingtotherichnessofso1arandwindresources，theOHtlC)utcharacteristicsofdistributedgenerationsandtheusers’requirementsf0rthereliabilityofpowersupply．Anadap
4、tivepenaltyfunctionmethodisadoptedtocorrecttheobjectivefunctionSOthatthebesteconomyperformancecanbeachievedunderthepremiseofmeetingtherequirementsforthereliabilityofpowersupply．Inthesolvingprocess，anewhybridquantumgeneticalgorithm(HQGA)isproposedcombiningwiththeadaptiverotmionanglead
5、justmentstrategy．crossoverandmutationoperationforquantumbitsandtheideaofpopulationcatastrophe．Finallyapracticalcaseissimulatedthroughtheproposedalgorithmandtheoptimalresultsarecomparedwiththoseobtainedbyquantumgeneticalgorithmandgeneticalgorithm．Theresultshowsthattheproposedmethodcan
6、notonlyrapidlyconverge，butalsohasagoodglobaloptimizationcapability．ThisworkissupposedbyNationalNaturalScienceFoundationofChina(No．51177098)；ShanghaiKeyScientificandTechnica1Project(No．11dzl210405)；ShanghaiLeadingAcademicDisciplineProject(No．J51303)．Keywords：microgrid；poweroptimalallo
7、cation；islandoperation；quantumgeneticalgorithm；adaptiverotationangleadjustment；populationcatastrophe；adaptivepenaltyfunction中圖分類(lèi)號(hào)：TM619文獻(xiàn)標(biāo)識(shí)碼：A文章編號(hào)：1674．3415(2013)24—0050．08然資源條件和用戶(hù)要求，優(yōu)化選擇、配置各分布式0引言電源，在滿(mǎn)足微電網(wǎng)安全穩(wěn)定運(yùn)行和用戶(hù)供電要求微電網(wǎng)是指由分布式電源、儲(chǔ)能裝置、能量轉(zhuǎn)的前提下，使得經(jīng)濟(jì)性最優(yōu)，具有重要的研究意義。換裝置、負(fù)荷、監(jiān)控和保護(hù)裝置等匯集而成的小型
8、微電網(wǎng)電源優(yōu)化配置是微電
