廖胜利

个人信息Personal Information

副教授

博士生导师

硕士生导师

性别:男

毕业院校:大连理工大学

学位:博士

所在单位:水利工程系

学科:水文学及水资源. 水利水电工程

办公地点:大连理工大学 综合实验3#楼 518室 (主楼后面)

联系方式:shengliliao@dlut.edu.cn

电子邮箱:shengliliao@dlut.edu.cn

扫描关注

个人简介Personal Profile

  廖胜利,工学博士,副教授,博导,硕导。水电与水信息研究所(程春田教授团队)成员,一直从事水电系统经济运行、多能源互补协调、清洁能源电力市场等方面的研究,专注水利水电、计算机和运筹学等多学科交叉,在数学建模、海量数据处理、人工智能、高性能并行计算等方面,结合国家重大需求有着深入的实践。

  主持国家自然科学基金4项,省部级基金项目3项;主持完成3项水电能源与数学、计算机、电力等多学科交叉纵向课题;参与国家高技术研究发展计划项目,国家自然科学基金重大计划、重点项目、面上项目等课题8项;获省部级一等奖2项、二等奖4项,中国专利优秀奖1项;在国内外重要学术期刊及学术会议上发表论文80余篇。

  本着“服务生产、服务社会”的理念,承担国家电网/南方电网/省级电网/流域公司/水电站等企业课题40余项,研发的模型算法及应用软件均能有效服务于生产实际,每项课题保证为企业提供5-10年以上稳定可靠的技术决策支持。

  与各生产单位及科研机构保持着持续稳定的合作关系,在研学生有着大量的实践机会、丰富的科研资料及非常好的就业和深造机会。

  大水电时代已来,热忱欢迎各位同学。


■ 主要经历

2020.10- 大连理工大学水利工程学院,博导

2016.12- 大连理工大学水利工程学院,副教授

2012.07- 大连理工大学水利工程学院,硕导

2010.10-2016.12 大连理工大学水利工程学院,讲师

2009.09-2011.09 大连理工大学管理科学与工程,师资博士后


■ 主持纵向课题(部分)

[01]国家自然科学基金面上项目(52379004),梯级水电参与现货市场出清的智能建模及求解方法研究,2024-2027

[02]国家自然科学基金面上项目(51979023),梯级水电站群主调模式下的风光水电短期互补协调及实时控制策略研究,2020-2023

[03]国家自然科学基金联合基金培育项目(U1765103),雅砻江流域梯级风光水多能互补协调控制与调度策略研究,2018-2020

[04]国家自然科学基金青年基金(51209029),巨型梯级水电站群短期与实时调度控制方法及策略研究,2013-2015

[05]辽宁省自然基金指导计划项目(20180550354),大规模风电馈入下风火水短期互补协调优化调度研究,2018-2020

[06]教育部博士点新教师基金(20120041120002),大规模水电系统优化调度的多核并行计算研究,2013-2015

[07]博士后科学基金面上资助(20100481230),面向省级电网的大规模复杂水电系统中期优化调度多核并行计算研究,2010-2011


■ 承担企业课题(部分)

[01]南方电网(广州),抽水蓄能电站调度管理及运行分析功能开发项目,2022-2023

[02]南方电网(广州),西部流域水电参与电力现货市场关键技术研究,2020-2022

[03]南方电网(广州),南网水调自动化系统高级应用-备调项目,2020-2021

[04]南方电网(广州),南网水调自动化改造项目(高级应用部分),2017-2021

[05]贵州电网(贵阳),基于梯级水电主动调控的风光水长中短期互补调度技术研究,2022-2024

[06]贵州电网(贵阳),贵州电网水调自动化系统整体改造(高级应用软件)2021-2022

[07]福建电网(福州),福建水电监测与调度、新能源监测与调度模块改造,2016-2017

[08]湖南双牌(永州),双牌水库水文自动测报系统雨量遥测站网增设设计技术服务,2019

[09]湖南双牌(永州),湖南省双牌水库预报调度系统建设项目,2015-2016

[10]乌江公司(贵阳),乌江梯级协调优化控制策略研究及应用,2011-2012


 


■ 研究方向

(1)水电系统经济运行

(2)多能源协调调度

(3)清洁能源电力市场

(4)人工智能及高性能并行计算 


 发表论文(部分)

[19]  Hongye Zhao, Shengli Liao*, Xiangyu Ma, Zhou Fang, Chuntian Cheng, Zheng Zhang. Short-term peak-shaving scheduling of a hydropower-dominated hydro-wind-solar photovoltaic hybrid system considering a shared multienergy coupling transmission channel. Applied Energy, 2024. (JCR Q1IF 10.1, 中科院1区)

[18] Zhou Fang, Shengli Liao*, Hongye Zhao, Chuntian Cheng, Benxi Liu, Huan Wang, Shushan Li. An MILP model based on a processing strategy of complex multisource constraints for the short-term peak shaving operation of large-scale cascaded hydropower plants. Renewable Energy, 2024. (JCR Q1IF 9中科院1区)

[17]  Huan Wang, Shengli Liao*, Benxi Liu, Hongye Zhao, Xiangyu Ma, Binbin Zhou. Long-term Complementary Scheduling Model of Hydro-Wind-Solar Under Extreme Drought Weather Conditions Using an Improved Time-varying Hedging rule. Energy, 2024. (JCR Q1IF 9, 中科院1区)

[16]  Hongye Zhao, Shengli Liao*, Yitong Song, et al. Long-term inflow forecast using meteorological data based on long short-term memory neural networks. Journal of Hydroinformatics, 2024. (JCR Q2, IF 2.2)

[15]  Hongye Zhao, Shengli Liao*, Zhou Fang, et al. Short-term peak-shavingoperation of N-reservoirs and multicascade large-scale hydropower systems based on a decomposition -iteration strategy. Energy, 2024. (JCR Q1IF 9中科院1区)

[14]  Benxi Liu, Shengli Liao*, JayR Lund, Xiaoyu Jin, Chuntian Cheng. Economically optimal hydropower development with uncertain climate change. Journal of Hydrology, 2023. (JCR Q1IF 6.4, 中科院1区)

[13]  Xiangyu Ma, Shengli Liao*, Benxi Liu, et al. Multi-objective solution and decision-making framework for coordinating the short-term peaking-navigation-production conflict of cascade hydropower reservoirs. Journal of Cleaner Production,  2023. (JCR Q1IF 11.1, 中科院1区)

[12]   Shengli Liao, Huan Liu*, Benxi Liu, et al. Solution Framework for Short-term Cascade Hydropower System Optimization Operations Based on Load Decomposition Strategy. Energy, 2023. (JCR Q1IF 9, 中科院1区)

[11]   Zhou Fang, Shengli Liao*, Chuntian Cheng, et al. A Parallel Improved Dynamic Programming Successive Approximation Algorithm for Medium-term Optimal Scheduling of Large-Scale Cascade Hydropower Plants. Renewable Energy, 2023. (JCR Q1IF 8.7, 中科院1区)

[10]    Shengli Liao, Huan Wang*, Benxi Liu, et al. Runoff forecast model based on artificial neural network and meteorological factors using multi-core parallel algorithm. Water Resources Management, 2023. (JCR Q1, IF 4.3)

[09]    Shengli Liao, Hualong Yang, Benxi Liu*, et al. Daily peak-shaving model of cascade hydropower serving multi-grids considering an HVDC channel shared constraint. Renewable Energy, 2022. (JCR Q1IF 8.7中科院1区)

[08]    Shengli Liao, Huan Liu*, Benxi Liu, et al. An information gap decision theory-based decision-making model for complementary operation of hydro-wind-solar system considering wind and solar output uncertainties. Journal of Cleaner Production, 2022. (JCR Q1IF 11.1, 中科院1区)

[07]    Shengli Liao, Zhanwei Liu*, Benxi Liu, et al. Short-term Hydro Scheduling Considering Multiple Units Sharing Common Tunnel and Crossing the Vibration Zones Constraints. Journal of Water Resources Planning and Management-ASCE, 2021. (JCR Q2, IF 3.1)

[06]    Shengli Liao, Huan Liu*, Zhanwei Liu, et al. Medium-term peak shaving operation of cascade hydropower plants considering water delay time. Renewable Energy, 2021. (JCR Q1IF 8.7, 中科院1区)

[05]    Shengli Liao, Zhanwei Liu, Benxi Liu*, et al. Daily Peak Shaving Operation of Cascade Hydropower Stations with Sensitive Hydraulic Connections Considering Water Delay Time. Renewable Energy, 2021. (JCR Q1IF 8.7, 中科院1区)

[04]   Shengli Liao, Yan Zhang, Jie Liu, et al. Short-term Peak-shaving Operation of Single-reservoir and Multicascade Hydropower Plants Serving Multiple Power Grids. Water Resources Management, 2021.(JCR Q1, IF 4.3)

[03]    Shengli Liao, Zhanwei Liu*, Benxi Liu, et al. Multi-step ahead daily inflow forecasting using ERA-Interim reanalysis dataset based on gradient boosting regression trees. Hydrology and Earth System Sciences, 2020. (JCR Q1IF 6.3, 中科院1区)

[02]    Zhiyu Yan, Shengli Liao, Chuntian Cheng*, et al. Long-term optimization of large-scale hydropower system operations based on decomposition–coordination. Journal of Water Resources Planning and Management-ASCE, 2020. (JCR Q2, IF 3.1)

[01]    Shengli Liao, Jie Liu, Benxi Liu*, et al. Multi-core parallel dynamic programming algorithm for short-term hydro-unit load dispatching of huge hydropower stations servering multiple power grids' load demands. Water Resources Management, 2020.(JCR Q1, IF 4.3)

  • 教育经历Education Background
  • 工作经历Work Experience
    2009.10 至今
    • 大连理工大学
    • 讲师
  • 研究方向Research Focus
  • 社会兼职Social Affiliations