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ID:33329414
大小:7.23 MB
页数:77页
时间:2019-02-24
《基于可靠性与经济性城市配电网规划方法实践与应用》由会员上传分享,免费在线阅读,更多相关内容在教育资源-天天文库。
1、Abstractdecision-makingmoreeffectivelyandefficiently.3、ToseekforbalancepointamonginreliabilityandinvestmentsthispaperevaluateplanninginLCCmodelandcompletetheLCCcalculationofGanzhou’EDNplanningfrom2014to2015.BringthemeansofcalculatepowerfailureandloadpredictionintoLCCanalysistofindouttotalL
2、CCbasedonthespecificprojectdata.Seriesofpracticalsituationaretakenintoconsideratetomakesureoutputwithhighpreciseandfulfillwithactualrequirements.Asaconclusion,otherseniorinvestmentsmightbeoverwhelminginitialinvestmentandsupposetheoreticalanddecision-makingsupportforthefurtherplanning.Keywo
3、rds:DistributionNetwork;LifeCycleCost(LCC);ReliabilityPerformance;CostBenefitAnalysisIII万方数据目录目录第一章绪论..............................................................................................................11.1本课题研究的意义...................................................................
4、....................11.1.1配电网可靠性的研究意义................................................................11.1.2配电网经济性研究的意义................................................................21.1.3配电网中结合可靠性与经济性的研究意义....................................41.2国内外研究现状及存在问题................................
5、.......................................51.2.1配电网可靠性....................................................................................51.2.2配电网经济性分析............................................................................61.3本文的主要工作和成果...................................................
6、............................7第二章配电网可靠性评估......................................................................................82.1引言...............................................................................................................82.2系统可靠性指标....................................
7、.......................................................92.2.1元件的可靠性参数............................................................................92.2.2可靠性指标计算公式........................................................................92.3可靠性指标预测.................
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