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    • Robust planning of distributed battery energy storage systems in flexible smart distribution networks: A comprehensive study

    柔性智能配电网中分布式电池储能系统的鲁棒规划：一项综合研究

    1 约17页 pdf
    出版日期： 2020
    标签： Bounded uncertainty-based robust optimization Distributed battery energy storage systems Distribution system operator Robust planning Variable renewable energy sources

    出版日期:2020


    杂志名称:Renewable and Sustainable Energy Reviews
    卷号:123
    期数:Complete
    刊号:1364-0321
    出版日期:2020

    简介:Thispaperpresentsarobustplanningofdistributedbatteryenergystoragesystems(DBESSs)fromtheviewpointofdistributionsystemoperator(DSO)toincreasethenetworkflexibility.Initially,thedeterministicmodeloftheproposedproblemisexpressedbyminimizingthedifferencebetweentheDBESSplanning,degradationandoperation(charging)costsandtherevenueofDBESSfromsellingitsstoredenergysubjecttotheconstraintsofACpowerflowequationsinthepresenceofRESsandDBESSs,andtechnicallimitsofthenetworkindexes,variablerenewableenergysources(vRESs)andDBESSs.Thisproblemismodeledasanon-linearprogramming(NLP),then,anequivalentlinearprogramming(LP)modelisproposedusingthefirst-orderexpansionofTaylor'sseriesforlinearizationofpowerflowequationsandapolygonforlinearizationofcircularinequalities.Also,tomodeltheuncertainparametersintheproposedproblemincludingforecastedactiveandreactiveloads,energyandcharging/dischargingpricesandtheoutputpowerofvRES,theboundeduncertainty-basedrobustoptimization(BURO)frameworkisproposedinthenextstep.Finally,theproposedschemeisappliedto19-busMVCIGREbenchmarkgridbyGAMSsoftwaretoinvestigatethecapabilityandefficiencyofthemodel."

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