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ID:34598241
大小:6.56 MB
页数:55页
时间:2019-03-08
《基于发电功率与短期负荷预测的微网经济运行策略研究》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、重庆大学硕士学位论文英文摘要ABSTRACTWithpowerdemandgrowing.thetraditionalpower断dwhosecriticalfeaturesarelargecapaciD7ofgenerator,large-scalesystemandhighvoltagehasbeenthemajorpowersupplierinthepastfewyears.However,manyproblemsinthepowersystemhavebecameseriouschallengesfacedbythepowerindustwintheworld.su
2、chasincreasingload!agingequipment!increasingdemandsofpowerqualityandreliabilit3r:energyefficienc37andenvironmentproblem.Facingtheseriesofseriouschallenges.anewdevelopmentmodeinpowersystemhasbeendevelopedbydistributedgenerationasitsadvantagesofflexible,efficient:economicalandenvironmentalop
3、erationanddiverseenergy.MicrogridisanaggregationofdistributedgenerationandloadsoperatingasasinglesystemwhichmakesmostofrenewableenergyrandimprovesthepowerqualiD'andreliability.Theeconomicoperationofmicrogridisoneofthekev,issuesofmicrogrid.Abettereconomicoperationstrategyandaccuratepredicti
4、onoftheoutputpoweroftheuncontrolledmicrosourcesandloadinmicrogridarethebasisofpopularizingthemicrogridtechnol093,.Inthispaper?theeconomicoperationstrategiesbasedonthewindpowerforecastandmicrogridforecastinconnectionmodeandislandmodearedeveloped.Onthelevelofmicrosource.distributedgeneration
5、isdividedintocontrolledmicrosourceanduncontrolledmicrosource.Controlledmicrosourceisabletoadjustitsoutputpowerandtheoutputpoweroftheuncontrolledmicrosourcevariesrandomlywithtimeduetothevariability.ofweather.Asatypicaluncontrolledmicrosource.theshortdynamicpredictionmodelofthewindpowerisdev
6、eloped.Themajorfactorsaffectingwindpowerareanalyzedandaradialbasisfunctionneuralnetworkwitherrordiscriminantfunctionisproposedinthispaper.Basedontheneuralnetwork:theshortdynamicpredictionmodelofthewindpoweroutputismodeledandithasbeenfoundthatwindpowercanbesuccessfullypredictedusingthismode
7、l.Onthelevelofloadinmicrogrid!themajorfactorsaffectingloadinmicrogridareanalyzedandtheshortdynamicpredictionmodelusingtheneuralnetworkwitherrordiscriminantfunctionisdevelopedandithasbeenfoundthatloadinmicrogridcanbeaccuratelypredictedOnthesystemoperationlevelo
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