计及风光不确定性的虚拟电厂多目标随机调度优化模型.pdfVIP

计及风光不确定性的虚拟电厂多目标随机调度优化模型

王冠;李鹏;焦扬;何楠;张玮;谭忠富

【摘要】为缓解风电和光伏发电不确定性对虚拟电厂稳定运行的影响,引入鲁棒随

机优化理论,建立了计及不确定性和需求响应的虚拟电厂随机调度优化模型.首先,风

力发电、光伏发电、燃气轮机发电,以及储能系统和需求响应集成为虚拟电厂,然后

最大化虚拟电厂运营收益、最小化系统运行成本和弃能成本被作为目标函数,建立

虚拟电厂调度优化模型.再应用鲁棒随机优化理论来转换光伏发电以及风力发电不

确定性变量的约束条件,建立了虚拟电厂随机调度模型.最后,选择中国国电云南分布

式电源示范工程为实例分析对象.分析结果显示:所提模型能够降低系统运行成本,双

重鲁棒系数的引入能够为不同风险态度决策者提供灵活的虚拟电厂调度决策工具,

协助应对风电和光伏发电的随机特性.储能系统能够借助自身充放电特性,替代燃气

轮机发电机组为风电和光伏发电提供备用服务,促进风电和光伏发电并网.将需求响

应纳入虚拟电厂能够实现发电侧与用电侧联动优化目标,平缓化用电负荷曲线,系统

整体运营效益达到最佳.%Inordertomitigatewindandphotovoltaicpower

generationuncertaintyonstableoperationofvirtualpowerplant,a

multiobjectivestochasticschedulingoptimizationmodelwith

considerationofuncertaintyanddemandresponseisproposedwith

robuststochasticoptimizationtheory.Firstly,windpower,photovoltaic

powergeneration,gasturbine(GT)powergeneration,energystorage

systems(ESS)anddemandresponseareintegratedintoavirtualpower

plant.Secondly,maximizeoperationalbenefitsofvirtualpowerplantand

minimizesystemoperatingcostandabandonedenergycostsareselected

asobjectivefunctions.Thenbyapplicationofrobuststochastic

optimizationtheory,avirtualpowerplant(VPP)schedulingoptimization

modelisestablished.Theproposedmethodisappliedtodistributedpower

demonstrationprojectinYunnan,Chinaasanexample.Theresultsshow

thattheproposedmodelcanreducesystempowershortagepenalty

cost.TheintroductionofdualRobustcoefficientscanprovideflexibleVPP

schedulingdecisiontoolsfordifferentriskattitudesofdecisionmakers

andrespondtowindpowerandphotovoltaicpowergenerationstochastic

characteristicseffectively.ESScanreplaceGTunittoprovidebackup

servicesforwindpowerandphotovoltaicpowergenerationbecauseofits

chargeanddischargecharacteristics.ItcanalsosmoothVPPoutputpower

curveandpromotegridconnectionbetweenwindpowerandphotovoltaic

powergeneration.Demandresponseisincorpora