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刘洋

日期:2020年05月06日     作者:     来源:      点击:[]

FA83

姓名:刘洋

职称:副教授/硕士研究生导师

专业:电力系统及其自动化

方向:新能源及储能技术、综合能源系统、电力数据精细化分析及高性能计算等

地址:四川大学基础教学楼B116

邮编:610065

EmailYang.Liu@scu.edu.cn


学习经历

1. 2001-2005,四川大学电气信息学院,电气工程及其自动化专业,学士

2. 2005-2006Brunel University, School of Engineering and Design, Data Communication Systems, 硕士

3. 2006-2011Brunel University, School of Engineering and Design, High-Performance Information Retrieval, 博士


工作经历:

1. 2006-2011,助教,School of Engineering and Design, Brunel University

2. 2012至今,教师,电气信息学院,四川大学


本科教学:

1. 自动控制原理(

2. 计算机网络与通信


研究生教学:

承担现代控制理论教学,并指导全日制研究生17人、改制后非全日制研究生3人。主要方向:

1. 高比例可再生能源、储能优化配置等

2. 综合能源系统规划、运行及综合服务

3. 基于高性能计算的精细化负荷分析


科研项目:

1. 雅砻江流域电站运行方式决策支持系统

2. 结构化数据高性能辨识算法研究

3. 基于弹性分布式语义分析与模糊识别技术的智能电力应急指挥系统

4.社区能源互联网形态与关键技术研究

5.考虑间歇式能源分布式发电的微网群-配电网能量交易研究

6.计及新型电力消费及需求侧管理的负荷行为特征分析及预测


获奖:

四川大学青年骨干教师


论文:

部分中文期刊:

1. 许立雄, 刘俊勇, 刘洋,. 电力网络结构特性分析[J]四川大学学报(工程科学版)2014(s2):133-139.

2. 刘友波, 刘洋, 刘俊勇,. 基于Hadoop架构的电力系统连锁故障分布式计算技术[J]电力系统自动化2016, 40(7):90-97.

3. 许立雄, 刘俊勇, 刘洋,. 基于负荷电流场的电网分区方法[J]电网技术2015, 39(4):1039-1044.

4. 许立雄, 刘俊勇, 刘洋,. 节点重要度的分类综合评估[J]中国电机工程学报2014, 34(10):1609-1617.

5. 刘洋,刘洋,许立雄,适用于海量负荷数据分类的高性能反向传播神经网络算法[J],电力系统自动化,Vol. 21, pp: 96-105, 2018.

6. 朱嘉远,刘洋,许立雄等,风电全消纳下的配电网储能可调鲁棒优化配置[J],电网技术Vol. 6, pp: 1875-1883, 2018.

7. 刘洋,刘洋,许立雄,计及数据类别不平衡的海量用户负荷典型特征高性能提取方法[J],中国电机工程学报, Vol. 14, pp: 4093-4104, 2019.

8. 朱嘉远,刘洋,许立雄等,考虑风电消纳的热电联供型微网日前鲁棒经济调度[J],电力系统自动化,Vol. 4, pp: 40-51, 2019.

9. 李想,王鹏,刘洋,许立雄,考虑类别不平衡的海量负荷用电模式辨识方法[J],中国电机工程学报, Vol. 1, pp: 128-137+380, 2020.


部分英文期刊:

1. Yang Liu, Xiang Li, Xianbang Chen, Xi Wang, and Huaqiang Li, High-Performance Machine Learning for Large-Scale Data Classification considering Class Imbalance, Scientific Programming, DOI: 10.1155/2020/1953461, 2020.

2. Yang Liu, Xianbang Chen, Bin Li, Huaqiang Li, and Yanli Ye, WKS-Type Distributionally Robust Optimisation for Optimal Sub-Hourly Look-Ahead Economic Dispatch, IET Generation Transmission & Distribution, DOI: 10.1049/iet-gtd.2019.1344, 2019.

3. Yang Liu, Xianbang Chen, Lixiong Xu, Huaqiang Li, and Maozhen Li, A Resource Aware Parallelized Back Propagation Neural Network in Enabling Efficient Large-scale Digital Health Data Processing, IEEE Access, PP(99):1-1, DOI: 10.1109/ACCESS.2019.2935691, 2019.

4. Xianbang Chen, Yang Liu, Yang Liu, and Bin Li, Adjustable robust optimization in enabling optimal day-ahead economic dispatch of CCHP-MG considering uncertainties of wind-solar power and electric vehicle, Journal of Industrial and Management Optimization, 13(5), DOI: 10.3934/jimo.2020038, 2020.

5. Yang Liu, Yanli Ye, Xianbang Chen, Huaqiang Li, and Yuan Huang, Robust Day-Ahead Dispatch for Integrated Power-Heat-Gas Microgrid considering Wind Power Uncertainty, Mathematical Problems in Engineering, 2020(9):1-12, DOI: 10.1155/2020/4215906, 2020.

6. Peng Wei and Yang Liu, The Integration of Wind-Solar-Hydropower Generation in Enabling Economic Robust Dispatch, Mathematical Problems in Engineering, 2019(13):1-12, DOI: 10.1155/2019/4634131, 2019.

7. Xiaodong Shen, Yang Liu, and Yan Liu, A Multistage Solution Approach for Dynamic Reactive Power Optimization Based on Interval Uncertainty, Mathematical Problems in Engineering, 2018(2):1-10, DOI: 10.1155/2018/3854812, 2018.

8. Xiangrong Wang, Hui Wang, Robert Y. Liang, and Yang Liu, A Semi-Supervised Clustering-Based Approach for Stratification Identification Using Borehole and Cone Penetration Test Data, Engineering Geology, DOI: 10.1016/j.enggeo.2018.11.014, 2018.

9. Yang Liu, Chenxiao Ma, Lixiong Xu, Xiaodong Shen, Maozhen Li, Pengcheng Li: MapReduce-based parallel GEP algorithm for efficient function mining in big data applications. Concurrency and Computation Practice and Experience, DOI:10.1002/cpe.4379, 2017.

10. Lixiong Xu, Yuan Huang, Xiaodong Shen, Yang Liu: Parallelizing Gene Expression Programming Algorithm in Enabling Large-Scale Classification. Scientific Programming; 2017:1-10., DOI:10.1155/2017/5081526, 2017.

11. Yang Liu, Youbo Liu, Junyong Liu, Maozhen Li, Tingjian Liu, Gareth Taylor, Kunyu Zuo: A MapReduce Based High Performance Neural Network in Enabling Fast Stability Assessment of Power Systems. Mathematical Problems in Engineering; 2017:1-12., DOI:10.1155/2017/4030146, 2017.

12. Youbo Liu, Yang Liu, Junyong Liu, Maozhen Li, Zhibo Ma, Gareth Taylor: High-performance predictor for critical unstable generators based on scalable parallelized neural networks. 4(3), DOI:10.1007/s40565-016-0209-4, 2016.

13. Yang Liu, Lixiong Xu, Maozhen Li: The Parallelization of Back Propagation Neural Network in MapReduce and Spark. International Journal of Parallel Programming, 45(4), DOI:10.1007/s10766-016-0401-1, 2016.

14. Yang Liu, Weizhe Jing, Lixiong Xu: Parallelizing Backpropagation Neural Network Using MapReduce and Cascading Model. Computational Intelligence and Neuroscience, 2016(2):1-11., DOI:10.1155/2016/2842780, 2016.

15. Yang Liu, Weizhe Jing, Youbo Liu, Lin Lv, Man Qi, Yang Xiang: A sliding window-based dynamic load balancing for heterogeneous Hadoop clusters. Concurrency and Computation Practice and Experience, 29(3), DOI:10.1002/cpe.3763, 2016.

16. Yang Liu, Jie Yang, Yuan Huang, Lixiong Xu, Siguang Li, Man Qi: MapReduce Based Parallel Neural Networks in Enabling Large Scale Machine Learning. Computational Intelligence and Neuroscience, 2015(2):1-13, DOI:10.1155/2015/297672, 2016.

17. Wenming Guo, Nasullah Khalid Alham, Yang Liu, Maozhen Li, Man Qi: A Resource Aware MapReduce Based Parallel SVM for Large Scale Image Classifications. Neural Processing Letters, 44(1), DOI:10.1007/s11063-015-9472-z, 2016.

18. Chuang Deng, Yang Liu, Lixiong Xu, Jie Yang, Junyong Liu, Siguang Li, Maozhen Li: A MapReduce-based parallel K-means clustering for large-scale CIM data verification. Concurrency and Computation Practice and Experience, 28(11)., DOI:10.1002/cpe.3580, 2015.

19. Yang Liu, Maozhen Li, Mukhtaj Khan, Man Qi: A MapReduce Based Distributed LSI for Scalable Information Retrieval. Computing and Informatics, 33(2), 2014.

20. Nasullah Khalid Alham, Maozhen Li, Yang Liu, Man Qi: A MapReduce-based distributed SVM ensemble for scalable image classification and annotation. Computers & Mathematics with Applications, 66(10):1920-1934, DOI:10.1016/j.camwa.2013.07.015, 2013.

21. Godwin Caruana, Maozhen Li, Yang Liu: An Ontology Enhanced Parallel SVM for Scalable Spam Filter Training. Neurocomputing, DOI:10.1016/j.neucom.2012.12.001, 2013.

22. Yang Liu, Maozhen Li, Nasullah Khalid Alham, Suhel Hammoud: HSim: A MapReduce simulator in enabling Cloud Computing. Future Generation Computer Systems, 29(1), DOI:10.1016/j.future.2011.05.007, 2013.

23 Nasullah Khalid Alham, Maozhen Li, Yang Liu, Suhel Hammoud: A MapReduce-based distributed SVM algorithm for automatic image annotation. Computers & Mathematics with Applications, 62(7):2801-2811, DOI:10.1016/j.camwa.2011.07.046, 2011.

24. Xiangyu Liu, Maozhen Li, Yang Liu, Man Qi: OBIRE: Ontology Based Bibliographic Information Retrieval in P2P Networks. DOI:10.4018/jdst.2010100105, 2010.


学术成果:

不成亦无果,尚需努力。


学术任职:

一些普通杂志的编委和审稿人



电话:028-85405614
传真:028-85405614   邮编:610065
地址:四川大学望江校区基础教学大楼 A座二楼
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