龙寰

发布者:宋阳发布时间:2021-09-10浏览次数:4830


龙 寰

职称: 副教授、硕士生导师

研究方向: 数据挖掘、人工智能与图像处理在新能源系统、综合能源系统中的建模、优化与监控应用研究

Email: hlong@seu.edu.cn

办公电话: 15195988790

个人简介:

龙寰,19928月出生,现任东南大学电气工程学院副教授,硕导,IEEE member2013年获华中科技大学自动化学院学士学位,2017年获香港城市大学系统工程与工程管理系博士学位。2016年担任美国爱荷华大学智能系统实验室访问学者,20178月起就职于东南大学电气工程学院。主要从事数据挖掘、人工智能与图像处理在新能源系统、综合能源系统中的建模、优化与监控应用研究。


期刊论文

  1. Guoyuan Liang, Yahao Su, Fan Chen, Huan Long, Zhe Song, Yahao Su, Yong Gan (2021). “Wind power curve data cleaning by image thresholding based on class uncertainty and shape dissimilarity.” IEEE Transactions on Sustainable Energy, 12(2),1383-1393.

  2. Haifeng Qiu, Huan Long, Wei Gu, Guangsheng Pan (2021). “Recourse-cost constrained robust optimization for microgrid dispatch with correlated uncertainties.” IEEE Transactions on Industrial Electronics, 68(3), 2266-2278.

  3. Huan Long, Chen Zhang, Runhao Geng, Zaijiun Wu, Wei Gu (2021). “A Combination Interval Prediction Model based on Biased Convex Cost Function and Auto Encoder in Solar Power Prediction.” IEEE Transactions on Sustainable Energy, doi: 10.1109/TSTE.2021.3054125.

  4. Huan Long, Shaohui Xu, Xiao Lu, Zijun Yang, Zhi Wu (2020). “Data-driven hybrid equivalent dynamic modeling of multiple photovoltaic power stations based on ensemble gated recurrent unit.” Frontiers in Energy Research, 8, 185.

  5. Huan Long, Zhi Wu, Chen Fang, Wei Gu, Xinchi Wei, and Huiyu Zhan (2020). Cyber-Attack Detection Strategy Based on Distribution System State Estimation. Journal of Modern Power Systems and Clean Energy, 8(4), 669-678.

  6. Huan Long, Peikun Li, Wei Gu(2020). “A data-driven evolutionary algorithm for wind farm layout optimization.” Energy, 208, 118310.

  7. Huan Long, Chang Chen, Wei Gu, Jihua Xie, Zheng Wang, and Guodong Li (2020). A Data-Driven Combined Algorithm for Abnormal Power Loss Detection in the Distribution Network. IEEE Access, Vol. 8: 24675-24686.

  8. Huan Long, Linwei Sang, Zaijun Wu, and Wei Gu (2019). Image-based abnormal data detection and cleaning algorithm via wind power curve. IEEE Transactions on Sustainable Energy, vol. 11, no. 2: 938-946.

  9. Li, Peixin, Wei Gu, Huan Long, Ge Cao, Zhihuang Cao, Bin Xu, and Jing Pan (2019). High-Precision Dynamic Modeling of Two-Staged Photovoltaic Power Station Clusters. IEEE Transactions on Power Systems, vol.34, no. 6: 4393-4407.

  10. H. Long,; Z. Zhang; M. Sun; Y. Li (2018.02), “The Data-driven schedule of wind farm power generations and required reserves,” Energy, vol. 149: 485~495.   

  11. Y. Wang, C. Liu, H. Long, Z. Zhang and S. Yang (2018.03). “Differential evolution with a new-encoding mechanism for optimizing wind farm layout,” IEEE Transactions On Industrial Informatics,14(3): 1040~1054.

  12. Y. Jiang, H. Long, Z. Zhang and Z. Song (2017.10). “Day-ahead prediction of bi-hourly solar radiation with a Markov switch approach,” IEEE Transactions On Sustainable Energy, 8(4): 1536~1547.

  13. L. Wang, Z. Zhang, H. Long, J. Xu and R. Hua (2017.06). “Wind turbine gearbox failure identification with deep neural networks,” IEEE Transactions On Industrial Informatics,13(3): 1360~1368.

  14. H. Long and Z. Zhang (2017.05). “Formulation and analysis of grid and coordinate models for planning wind farm layouts,” IEEE Access. Vol. 5: 1810-1819.

  15. H. Long, Z. Zhang and M. Eghlimi (2017.01). “Configuration optimization and analysis of a large scale PV/wind system,” IEEE Transactions On Sustainable Energy. Vol. 8: 84-93.

  16. H. Long, L. Wang, Z. Zhang, Z. Song and J. Xu (2015.10). “Data-driven wind turbine power generation performance monitoring,” IEEE Transactions On Industrial Electronics. Vol. 62: 6627-6635.

  17. H. Long and Z. Zhang (2015.07). “A two-echelon wind farm layout planning model,” IEEE Transactions On Sustainable Energy. Vol. 6: 863-971.

  18. H. Long, Z. Zhang and Y. Su (2014.04). “Analysis of daily solar power prediction with data-driven approaches,” Applied Energy. Vol. 126: 29-37.


科研:

1.国家自然科学青年基金,51807023,面向数据特征的可再生能源区间预测与并网分层调度模型研究,2019/01-2021/1222万元,在研,主持。

2.江苏省基础研究青年基金,BK20180382,基于数据驱动的可再生能源并网区间与耦合建模研究,2018/07-2021/0620万元,在研,主持。

3.国家电网公司科技项目,源网荷储互动的综合能源调控技术研究及应用,2019/07-2021/0775万云,在研,子课题主持。

4.国家电网公司科技项目,基于大数据的配电网精益化线损管理技术与应用,2018/01-2020/12, 50万元,结题,子课题主持。

5.浙江省电力公司科技项目,5211DS17001Z,主动配电网运行状态评估技术及源网荷储协同控制技术研究,2018/01-2019/12, 146.8万元,结题,子课题主持。

6.法国与香港联合研究项目,考虑系统可靠性的风电场发电的鲁棒调度,2014 – 2016,主要研究人员。

7.中国龙源电力集团股份有限公司研究项目风电机组的性能监控2014 – 2015,主要研究人员。

8.香港大学教育资助委员会优配研究基金项目,Scheduling Power Production of Hybrid Power Systems with Data Mining and Computational Intelligence2014 – 2015,主要研究人员。

 

教学:

计算机程序设计、算法与程序设计(本科)

人工智能在电力系统系统中的应用(研究生)

2020年东南大学微课竞赛二等奖

2021年首届全国高校教学教师创新比赛一等奖


近期研究工作:

区间预测


基于图像的风机异常数据清洗


基于数据驱动的的启发式算法


基于聚类及控制图的异常线损识别及定位