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1、第22卷第1期電力系統(tǒng)及其自動化學報V01.22N0.12010年2月ProceedingsoftheCSU-EPSAFeb.2O1O模糊變權法在絕緣子狀態(tài)綜合評判中的應用熊蘭,劉鈺,林蔭宇,姚樹友。,何為,汪金剛(1.重慶大學輸配電裝備及系統(tǒng)安全與新技術國家重點實驗室,重慶400030;2.重慶市電力公司城區(qū)供電局,重慶402760;3.重慶市電力公司璧山供電局,璧山402760)摘要:鑒于在線監(jiān)測污閃報警的復雜性,單一以紫外脈沖數(shù)為報警參數(shù)有一定的局限性,針對絕緣子的狀態(tài)評估中需考慮多因素且具有模糊性和隨機性的特點,提出將模糊綜合評判的方法應用
2、于絕緣子狀態(tài)評估的多級模糊綜合評判方法。通過分析影響絕緣子狀態(tài)主要方面的特征參量,建立層次型評估指標體系;在用層次分析法確定指標的常權的基礎上,引入基于均衡函數(shù)的變權模式,綜合考慮指標間的均衡性,對常權進行修正并得到變權;最后利用模糊理論確定單因素的各狀態(tài)等級的隸屬度,并基于多級模糊評判的算法進行模糊運算,綜合得出了絕緣子狀態(tài)。通過實例比較變權與常權模糊評判的結果表明,變權綜合比常權更合適更客觀的反映了絕緣子的真實運行狀態(tài)。關鍵詞:模糊綜合評判;變權;狀態(tài)評估;絕緣子中圖分類號:TM855文獻標志碼:A文章編號:1003—8930(2010)01—
3、0096—05ApplicationofFuzzySyntheticMethodonInsulatorConditionAssessmentXIONGLan,LIUYu,LINYin—yu,YAOShu—you。,HEWei,WANGJin—gang(1.StateKeyLaboratoryofPowerTransmissionEquipments&SystemSecurityandNewTechnology,ChongqingUniversity,Chongqing400030,China2.CiryPowerSupplyofChongqingE
4、lectricPowerCompany,Chongqing400014,China;3.BishanPowerSupplyofChongqingElectricPowerCompany,Bishan402760,China)Abstract:Inviewofthecomplexityofon-linemonitoringflashoverwarningsystem,systemonlywithultravio一1etpulseshassomelimitation.Aimingatthefeaturethatinsulatorconditionass
5、essmentsystemneedstObeconsideredformultifactorandhasfuzzinessandrandomicity,afuzzysyntheticassessmentmethodwithvaria—bleweightswasintroduced.Throughanalyzingthevariablesaffectingoninsulatorcondition,alayeredassess—mentindicessystemforinsulatorconditionassessmentwasbuilt.First,
6、theAHPmethodwasusedtodeter—minetheconstantweightofeveryindices,thenthevariableweightmodelwasintroducedbasedonbalancedfunction,inwhichtheconstantweightswasmodifiedtOgetthevariableweights,ThenthefuzzysettheorywasappliedtOdeterminethemembershipdegreeofasingleindex,andbasedontheid
7、eaofmutli—gradefuzzyassessment,theconditionofeverygradewasvaluatedtogetthecomprehensivestatusofinsulator.Bycompa—ringthefuzzysyntheticevaluationbasedonconstantweightswiththatbasedonvariableweighs,theexampleshowsthattheconditionassessmentforinsulatorusingvariableweightsbasedonb
8、alancedfunctionismorereasonableandmoreobjective.Keywords:fuzz