广大师生:
华南理工大学“海内外优秀青年学者论坛”,旨在面向全球邀请拥有不同学术背景的青年才俊,围绕国际科学前沿、热点研究领域以及行业产业的技术问题等展开探讨和交流。通过这个平台,互相启迪、开拓视野,增强国际交流与合作,促进双方共同发展。
一、论坛时间:2023年11月17日(星期五)
二、论坛地点:华南理工大学五山校区9号楼225
三、论坛议程
时间 | 议程 | 内容 |
9:00-9:10 | 开幕 | 致欢迎词,介绍主讲嘉宾 |
9:10-10:00 | 学术报告1 | 题目:电力系统稳定-换流器并网影响及其构网能力的发展 |
10:00-10:30 | 学术报告2 | 题目:铁基纳米晶磁芯在感应式无线充电系统中的应用研究 报告人:罗志超博士(华南理工大学准聘副教授) |
10:30-11:00 | 学术报告3 | 题目:大规模风电并网的电力系统不确定性优化研究。 报告人:林镇佳博士(香港理工大学博士后) |
欢迎广大师生参加!
华南理工大学电力学院
2023年11月9日
学术报告1
讲座题目:电力系统稳定-换流器并网影响及其构网能力的发展
内容摘要:换流器引起的稳定性问题已被纳入电力系统稳定分类当中。此外,换流器的构网能力已受到电力系统的重视。本报告就上述两点在背景和发展上展开探讨和交流。
学术报告2
讲座题目:ResearchontheperformanceoftheFe-basednanocrystallinecoreintheinductivepowertransfersystem
内容摘要:MnZn-basedferritematerialsliketheEPCOSN87orK2004arecommonlyusedasmagneticcoresininductivepowertransfer(IPT)applications.However,theperformanceandthereliabilityofIPTsystemsarelimitedbyferrite’sintrinsicbrittlenessandlowfluxdensitysaturationpoint.Ontheotherhand,nanocrystallinematerials,suchasFeCuNbSiB,presentseveral advantagesthatmakethemattractiveforIPTapplications.Firstly,comparedtoferrite,nanocrystallineribbons aremechanicallymorerobustandcanbeformedintovarious geometries.Thisallowsforamorerobust,reliable,andflexible design.Second,ithasahigherrelativepermeability, whichreachesvaluesupto300000andisseveralorders ofmagnitudehigherthanthatofferrite.Moreover,nanocrystallinealloyssaturateat1.25T,whichismorethan twicethesaturationpointofferrite.Recently,anovelstructureofFe-basednanocrystalline,callednanocrystallineflakeribbon,isproposedwhichcaneffectivelyreducetheeddycurrentlossinthecoreinthehigh-frequencyapplication.Inthiswebinar,themagneticcharacteristiccomparisonbetweenferriteN87andnanocrystallinecoreswillbepresentedunderdifferenttemperatures.Themanufacturingprocessandthemagneticperformanceofthenanocrystallineflakeribboncorewillbediscussed.Furthermore,thedesignconsiderationofthe11kWnanocrystalline-basedIPTsystemanditsthermalanalysiswillbeintroduced.
报告人简介:ZhichaoLuo(S’16-M’19)receivedtheB.S.degreeinautomotiveengineeringfromtheSouthChinaUniversityofTechnology,Guangzhou,China,in2014.HereceivedthePh.D.degreeinautomotiveengineeringfromTongjiUniversity,Shanghai,China,in2019.From2019to2021,hewasaPostdoctoralFellowwiththeDepartmentofElectricalandComputerEngineeringattheUniversityofToronto,Canada.From2021to2023,heworkedasaPostdoctoralResearchAssociateattheUniversityofCambridge,U.K.HealsojoinedtheTrinityCollegeasaPostdoctoralSocietyFellowattheUniversityofCambridge.In2023,hejoinedtheSchoolofElectricPowerEngineeringattheSouthChinaUniversityofTechnology,Guangzhou,China,whereheiscurrentlyanAssociateProfessor.HehasalsoservedastheindustryliaisonchairofTC9:WirelessPowerTransferSystemsinPELS.
Hiscurrentresearchinterestsincludewirelesspowertransfertechnologies,highfrequencymagneticcomponents,novelsoftmagneticmaterial,magneticfieldmodeling,andpowerelectronicsinelectricvehicles.
学术报告3
讲座题目:ResearchesonUncertaintyOptimizationforPowerSystemswithLarge-scaleWindPowerIntegration
内容摘要:Thispresentationwilldelveintotheresearchsurroundinguncertaintyoptimizationforthepowersystemswithlarge-scalewindpowerintegration.Asthepenetrationofwindenergyintopowersystemssteadilyincreases,theimportanceofeffectivelyhandlingtheuncertaintiesoftherenewablesbecomesincreasinglyprominent.Thereportwilltalkthecasesofrobustoptimizationanddistributionallyrobustoptimizationmethodsinprovidingrobustsolutionsforthepowersystemsunderhighpenetrationofrenewables.Additionally,theapplicationofAI-baseddeepreinforcementlearningmethodsinpowersystemoptimizationwillbeexplored.Thefocusofthistalkwillbeonhowtheintegrationoftraditionalmathematicaloptimizationanddata-drivenmethodscanleadtomorereliableandefficientpowersystems.
报告人简介:林镇佳,香港理工大学博士后研究员。本硕博毕业于华南理工大学电力学院,主要从事考虑可再生能源并网的不确定性优化、数据驱动决策分析及其在电力/能源系统的应用研究。近五年以第一/通讯作者发表SCI/EI论文10余篇,核心参与国家重点研发计划、国家自然科学基金重点项目、面上项目等多个国家级、省级项目。2019年入选广州市“菁英计划”项目;2022年入选香港“创新及科技基金”研究人才库;能源国际学术会议ICAE2022&2023,CUE2022&2023,CEN2023秘书及分论坛主席;期刊PCMP(SCI/EIIndex)青年助理编辑;期刊EnergyProceedings青年助理编辑;AEii国际应用能源协会秘书;能源公众号“2C能者无疆EnerarXiv”负责人。同时,担任多个IEEETransactions,AppliedEnergy,CSEEJPES等SCI期刊审稿人。