万杰
近期热点
资料介绍
个人简历
科研情况:作为骨干/负责人,曾参与863、973等国家课题以及企事业单位委托横向课题近百项。发表论文60多篇,SCI/EI检索30余篇;申请国家发明专利80余项,已授权30项;已经出版学术专著2本,获得省科技进步三等奖、省技术发明二等奖、电力行业协会科技进步一等奖、电力集团科技进步二等奖10余项。教育及工作经历1) 哈尔滨工业大学 热能与动力工程 学士2) 哈尔滨工业大学 动力工程及工程热物理 硕士3) 哈尔滨工业大学 动力机械及工程 博士4) 哈尔滨工业大学 电气工程及自动化学院 博士后/助理研究员5) 香港大学 深圳研究院 研究助理6) 哈尔滨工业大学 空间基础科学研究中心 副研究员/硕导所获典型奖励及荣誉1)黑龙江省技术发明奖 二等奖2)龙江科技英才-青年拔尖人才3)内蒙古自治区科技进步 三等奖4)全国电力行业设备管理创新成果 特等奖5)全国第四届下一代互联网技术创新大赛 二等奖6)中国华能集团科技进步 三等奖正在承担的主要科研项目[1] 火电机组最小技术出力降低与调峰能力提升,学术骨干,国家重点研发计划项目, 编号2017YFB0902101,2017.07-2021.06.[2] 风电不确定性的多参数刻画及预报方法研究,负责人,黑龙江省博士后资助基金项目,编号LBH-Z17067,2017.09-2019.09.[3] 空间极端天气对空天动力及能源装置影响的分析及预测,负责人,深圳市重点实验室建设项目委托课题,2019.01-2019.12.[4] 间歇式清洁电能灵活分散消纳的新型场-网-荷协同方法研究,参与人,国家自然科学基金面上项目,编号51877049,2019.01-2022.12.[5] 基于IPV6的能源互联网信息系统建设及示范(NGII20150802),负责人,赛尔网络有限公司国家\研究领域
1)电力设备的智能监测与诊断优化,主要涉及汽轮发电机组、燃气发电机组、风电机组及光伏发电的建模控制、故障诊断与运行优化,针对汽轮发电设备、燃气轮机发电设备及风力发电设备,结合设备的自身特征和问题特点与具体的数据挖掘算法进行改进与匹配,解决实际中的设备异常检测与故障诊断问题,并给出综合优化决策支持;针对大规模风力发电机组和光伏电站输出功率的强随机不确定性进行建模研究,分析其时空特性并进行预报,提升火电机组调频能力、设计调峰策略。2)空间环境多源数据的信息融合与建模分析,利用开源卫星观测数据进行太阳耀斑预报的建模研究、利用开源卫星观测数据和计算模拟数据融合对同步轨道高能电子进行建模预报等。""近期论文
1. Wan J, Ren GR, Liu JF, et al. Ultra-short-term wind speed prediction based on multi-scale predictability analysis[J]. Cluster Computing, 2016, 19(2):741-755. (第一作者,SCI检索,JCR二区)2. Wan J, Liu JF , Ren GR, et al. Day-Ahead Prediction of Wind Speed with Deep Feature Learning[J]. International Journal of Pattern Recognition and Artificial Intelligence, 2016:1650011. (第一作者,SCI检索)3. Wan J, Liu J, Ren GR, et al. A universal power-law model for wind speed uncertainty[J]. Cluster Computing, 2019. (第一作者,SCI检索,JCR二区)4. Wan J, Kun Yao, Peng E, et al. Separation characteristics between time domain and frequency domain of wireless power communication signal in wind farm[J]. EURASIP Journal on Wireless Communications and Networking, 2020, (5):1-12. (第一作者,SCI检索)5. Wan J, Kun Yao, Guorui REN, et al.Coastal Wind Speed's Multi-Parameter Forecasting Based on Quantitative Measurement of Its Predictability[J]. Journal of Coastal Research, 2020,115: 662-665. (第一作者,SCI检索)6. Wan J,Wang YJ, Ren GR, et al. An integrated evaluation method of the wind power ramp event based on generalized information of the source grid and load[J]. Energies, 2020, 13: 6503. (第一作者,SCI检索)7. Wan J, Xue CAO, Kun Yao, et al.Data mining technology application in false text information recongnition[J]. Mobile Information Systems, 2021: 1-13. (第一作者,SCI检索)8. Ren GR, Wan J*, Liu JF, et al. Analysis of wind power intermittency based on historical wind power data[J]. Energy, 2018, 150: 482-492. (SCI检索,JCR一区,通讯作者)9. Ren GR, Wan J*, Liu JF, et al. Characterization of wind resource in China from a new perspective[J]. Energy, 2019, 167: 994-1010. (SCI检索,JCR一区,通讯作者)10. GR Ren,J Wan*, JF Liu, et al. Spatial and temporal correlation analysis of wind power between different provinces in China [J]. Energy, 2019, 177:262-275. (SCI检索,JCR一区,通讯作者)11. GR Ren,J Wan*, JF Liu, et al. Spatial and temporal assessments of complementarity for renewable energy resources in China[J]. Energy, 2019, 177:262-275. (SCI检索,JCR一区,通讯作者)12. Guo YF, Wang Q, Wan J*, et al. Provincial Energy Efficiency Prediction in China Based on Classification Method [J]. IEEE ACCESS, 2019. (SCI检索,通讯作者,JCR一区)13. GR Ren, J Wan*, JF Liu, et al. Assessing temporal variability of wind resources in China and the spatial correlation of wind power in the selected regions [J]. Journal of Renewable and Sustainable Energy, 2019, 177:262-275. (SCI检索,通讯作者)14. Guo YF, Chen R, Shi J, Wan J*, et al. Determination of the power transmission line ageing failure probability due to the impact of forest fire[J]. IET Generation, Transmission & Distribution, 2018, 12(16): 3812-3819. (SCI检索,通讯作者,JCR二区)15. Ren GR, Liu JF, Wan J, et al. Prediction of the Wind Speed Turbulent Standard Deviation [J]. Journal of Environmental Informatics, 2018. (SCI检索,JCR一区)16. Ren GR, Liu JF, Wan J, et al. Overview of wind power intermittency: Impacts, measurements, and mitigation solutions[J]. Applied Energy, 2017, 204:47-65. (SCI检索,JCR一区)17. Liu J, Ren GR, Wan J, et al. Variogram time-series analysis of wind speed[J]. Renewable Energy, 2016, 99:483-491. (SCI检索,JCR一区)18. Ren GR, Liu J, Wan J, et al. The analysis of turbulence intensity based on wind speed data in onshore wind farms[J]. Renewable Energy, 2018, 123: 756-766. (SCI检索,JCR一区)19. Guo Y, Zhang D, Wan J, et al. Influence of direct air-cooled units on primary frequency regulation in power systems[J]. IET Generation, Transmission & Distribution, 2017, 11(17): 4365-4372. (SCI检索,JCR二区)20. Liu J F, Li F, Wan J, et al. Short-term solar flare prediction using multi-model integration method[J]. Research in Astronomy and Astrophysics, 2017, 17(4): 034. (SCI检索)21. Ren GR, Liu J, Wan J, et al. Measurement and statistical analysis of wind speed intermittency[J]. Energy, 2016, 118. (SCI检索,JCR一区)1)中电联电力职工技术创新奖评审专家2)the CSEE Journal of Power and Energy Systems、International Journal of Control, Automation and Systems、Journal of Modern Power Systems and Clean Energy、自动化学报等多个SCI、EI期刊审稿人3)黑龙江省青年科协 理事&副会长标签: 哈尔滨工业大学 电气工程及自动化学院
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