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1、碩士學(xué)位論文摘要微電網(wǎng)以其環(huán)保、高效、靈活、投資少等特點(diǎn)受到人們?cè)絹?lái)越多的關(guān)注。微電網(wǎng)與大電網(wǎng)相結(jié)合的供電方式被認(rèn)為是2l世紀(jì)電力工業(yè)的主要發(fā)展方向。微電網(wǎng)中的微電源即分布式電源可以起到減輕環(huán)境污染、節(jié)約投資、改善電能質(zhì)量、提高供電可靠性等作用，但是微電網(wǎng)的并網(wǎng)以及微電源的配置也可能帶來(lái)一些負(fù)面影響。因此，本文從微電網(wǎng)并網(wǎng)運(yùn)行的經(jīng)濟(jì)性和微電源配置時(shí)對(duì)配電網(wǎng)網(wǎng)損電壓分布的穩(wěn)定性來(lái)考慮，對(duì)微電網(wǎng)經(jīng)濟(jì)運(yùn)行優(yōu)化和配電網(wǎng)中微電源的最優(yōu)配置進(jìn)行了研究。論文首先針對(duì)微電網(wǎng)經(jīng)濟(jì)運(yùn)行和分布式電源配置優(yōu)化問(wèn)題，將柯西分布引入混合蛙跳算法并對(duì)適應(yīng)度函數(shù)進(jìn)行標(biāo)定，以此來(lái)彌補(bǔ)混合蛙跳
2、算法在優(yōu)化運(yùn)算中搜索范圍不穩(wěn)定和收斂性差的缺陷。通過(guò)對(duì)測(cè)試五個(gè)函數(shù)的最小值進(jìn)行優(yōu)化，結(jié)果表明改進(jìn)后的混合蛙跳算法在運(yùn)算時(shí)容易陷入局部最優(yōu)和收斂速度慢的問(wèn)題有所改善。其次對(duì)微電網(wǎng)經(jīng)濟(jì)運(yùn)行進(jìn)行優(yōu)化，論文中的微電網(wǎng)系統(tǒng)包括燃?xì)廨啓C(jī)、風(fēng)力發(fā)電、光伏發(fā)電、蓄電池儲(chǔ)能裝置和燃料電池。對(duì)微電網(wǎng)中各分布式電源的特性進(jìn)行了詳細(xì)的分析。建立成本最小目標(biāo)函數(shù)的改進(jìn)混合蛙跳算法進(jìn)行優(yōu)化，結(jié)果表明不同季節(jié)某日的最優(yōu)購(gòu)售電策略。最后，針對(duì)微電源配置對(duì)配電網(wǎng)的影響進(jìn)行分析，以有功網(wǎng)損和靜態(tài)電壓穩(wěn)定指標(biāo)為目標(biāo)函數(shù)，運(yùn)用模糊方法處理量綱不同、相互沖突的多目標(biāo)優(yōu)化問(wèn)題，將其轉(zhuǎn)化成單目標(biāo)函數(shù)進(jìn)行
3、優(yōu)化。應(yīng)用改進(jìn)后的混合蛙跳算法結(jié)合IEEE33節(jié)點(diǎn)配電系統(tǒng)對(duì)微電源優(yōu)化配置進(jìn)行仿真分析，以滿意度來(lái)衡量整體性能。結(jié)果表明多目標(biāo)優(yōu)化具有更好的總體滿意度。關(guān)鍵詞：微電網(wǎng)：經(jīng)濟(jì)運(yùn)行：有功網(wǎng)損；靜態(tài)電壓穩(wěn)定指標(biāo)：混合蛙跳算法基于混合蛙跳算法的微電網(wǎng)運(yùn)行優(yōu)化AbstractMicro．酣disattractedmoreandmoreattentionbypeopleasitsenvironmentalprotection，hi．ghefficiency，agility，andlessinvestmentetc．111epowersupplyofthecombinat
4、ionofMicro．酥dand面disconsideredthemaincultureoftheelectricpowerindustryinthe21髓century．rnledistributedgenerationwhichismicrogenerationofthemicro-鰣dcanplayanimportantroleinreducingenvironmentalpollution，savinginvestment，improvingpowersupplyquality，offeringthereliabilityofpowersupplye
5、tc．However，theconnectionofthemicro-gridandthedistributionofthemicrogenerationmaybringsomenegativeeffects．Therefore，thisdissertationdoestheresearchontheeconomicoperationoptimizationofthemicro·gridandtheoptimaldistributionofthemicrogenerationinthedistributionnetwork．Fortheproblemofth
6、eeconomicoperationofmicro-gridandtheoptimizationofthedistributedgeneration，thisdissertationfirstintroducesCauchydistributiontoShuffledFrogLeapingAlgorithm(SFLA)andcalibratesthefitnessfunctionoftheSFLAwhichCanapprovestheweaknessofinstabilityofthesearchspacesandslowconvergencerateoft
7、healgorithm．Bythewayofoptimizingtheminimumofthefivetestfunction，theresultsshowthatthemodifiedSFLACanavoidlocalminimumandmakethealgorithmwithbetterconvergencespeed．Secondly,thedissertationoptimizestheeconomicoperationofthemicro一酣d．Themicro．gridinthisdissertationincludesGasturbine，wi
8、ndpower,photovoltaicpowerg
