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1、第44卷第504期電測(cè)與儀表Vol.44No.5042007年第12期ElectricalMeasurement&InstrumentationDec.2007基于Spiked模型的低信噪比環(huán)境電網(wǎng)異常狀態(tài)檢測(cè)*周忠強(qiáng),韓松,李洪乾(貴州大學(xué)電氣工程學(xué)院,貴陽(yáng)550025)摘要:為發(fā)展基于大數(shù)據(jù)技術(shù)的電網(wǎng)態(tài)勢(shì)感知理論與方法,提出了一種基于Spiked模型電網(wǎng)異常狀態(tài)動(dòng)態(tài)辨識(shí)方法,該方法源于隨機(jī)矩陣?yán)碚?。首先,通過(guò)數(shù)據(jù)源矩陣的構(gòu)造,窗口數(shù)據(jù)矩陣及其標(biāo)準(zhǔn)矩陣的構(gòu)建,進(jìn)而形成其樣本協(xié)方差矩陣,并計(jì)算該矩陣的最大特征值;然后,利用由Ka
2、iser窗函數(shù)校正的經(jīng)典譜估計(jì)法進(jìn)行全局信噪比估計(jì),進(jìn)而得出對(duì)應(yīng)的動(dòng)態(tài)閾值,并與最大特征值比較來(lái)進(jìn)行異常狀態(tài)判別;最后,借助MATLAB軟件,案例分析在一個(gè)IEEE50機(jī)標(biāo)準(zhǔn)系統(tǒng)展開(kāi),涉及負(fù)荷異常躍變及三相短路接地故障,與傳統(tǒng)的平均譜半徑分析法的計(jì)算結(jié)果比較表明該方法具有抗噪性能高、適應(yīng)性強(qiáng)的優(yōu)點(diǎn),同時(shí)對(duì)于非完整性信息有一定的魯棒性。關(guān)鍵詞:動(dòng)態(tài)閾值;Spiked模型;最大特征值;異常狀態(tài)檢測(cè);全局信噪比估計(jì)中圖分類(lèi)號(hào):TM93文獻(xiàn)標(biāo)識(shí)碼:B文章編號(hào):1001-1390(2018)00-0000-00Spikedpopulati
3、onmodelbasedabnormalstatedetectionofpowersysteminlowSNRenvironmentZhouZhongqiang,HanSong,LiHongqian(DepartmentofElectricalEngineering,GuizhouUniversity,Guiyang550025,China)Abstract:Inordertodevelopthetheoryandmethodofgridsituationawarenessbasedonbigdatatechnology,ins
4、piredfromrandommatrixtheory,thispaperproposesadynamicidentificationmethodforabnormalstatedetectioninlowSNREnvironmentenvironmentbasedonspikedSpikedpopulationmodel.Itfirstlyconstructsadatasourcematrixandobtainsamovingsplit-windowmatrixanditsstandardmatrix,andthen,acqu
5、iringthesamplecovariancematrixisacquired.TheglobalSNRestimationisperformedusingtheclassicalspectralestimationmethodcorrectedbytheKaiserwindowfunction,fromwhichacorrespondingdynamicthresholdisderived.Inthisway,thesituationawarenessandearlywarningforinterconnectedpower
6、systemscouldbeachievedbycalculatingmaximumeigenvalueofsamplecovariancematrixandthedynamicthresholdtocheckviolation.UtilizingMATLAB?software,thecasestudieshavebeencarriedonanIEEE50-machinesystemsystemthroughutilizingMATLAB?software,involvingtwomainworkingconditionssuc
7、hasabnormalloadchangeandshortcircuitfault.,theTheresultsshowthattheproposedmethodologyhastheadvantageofhighernoiseresistanceincomparisonwiththetraditionalmeanspectralradiusbasedmethodandpreliminarilyverifiesthatitwouldberobustunderincompleteinformation.*基金項(xiàng)目:國(guó)家自然基金資助
8、項(xiàng)目(51567006);貴州省科技廳聯(lián)合資金資助項(xiàng)目(20157635)Keywords:dynamicthreshold,spikedSpikedpopulationpopulationmodel,maximumeigenvalueEigenvalue,ab