导师风采
叶宇剑
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个人信息

Personal Information

  • 副研究员
  • 导师类别:硕士生导师
  • 性别: 男
  • 学历:博士研究生
  • 学位:博士

联系方式

Contact Information

  • 所属院系:电气工程学院
  • 所属专业: 电气工程
  • 邮箱 : yeyujian@seu.edu.cn
  • 工作电话 : -

个人简介

Personal Profile

叶宇剑,博士,东南大学副研究员、硕士生导师,伦敦帝国理工学院访问学者,入选江苏省“双创计划”-世界名校类“双创博士”人才。

多年来从事基于人工智能的电力市场的建模与分析、能源互联网中的建模、优化与控制,电力及能源系统的运行与规划优化等领域研究。

受邀担任IET Smart Grid和IET Energy Systems Integration期刊副编委、《中国电力》和Frontiers in Energy Research期刊客座编委。近五年研究成果共发表录用SCI/EI论文近40篇,其中以第一作者或通信作者在IEEE Transactions, Applied Energy, IEEE Internet of Things等电力、能源、人工智能及物联网技术领域国际核心期刊共18篇(其中JCR一区共12篇,中科院一区top共9篇),人工智能顶会IJCAI一篇,累计影响因子超过100

2017年获得IEEE电力与能源协会最高级别学术年会IEEE PES-GM会议最佳论文奖。主持参与多个英国、欧盟及国际重大科研咨询项目。担任IEEE Transactions等十数个国际权威期刊审稿专家及英国工程和自然科学研究委员会(EPSRC)的基金项目评审专家。中国电机工程学会(CSEE)会员、IEEE会员、IET会员、国际能源经济协会(IAEE)会员、中国人工智能学会(CAAI)会员、中英人工智能协会(CBAIA)研究员。


工作经历:

(1) 2021-3至2022-2, 伦敦帝国理工学院, 电气工程学院, 访问学者

(2) 2020-12至现在, 东南大学, 电气工程学院, 上岗副研究员

(3) 2020-10至2020-12, 东南大学, 电气工程学院, 讲师

(4) 2019-6至2020-8, 英国Fetch.ai人工智能公司, 算法研发部, 机器学习科学家

(5) 2017-5至2019-6, 伦敦帝国理工学院, 帝国理工咨询Imperial Consultants, 咨询顾问

(6) 2016-12至2019-6, 伦敦帝国理工学院, 博士后, 导师: Goran Strbac教授

  

教育经历:

(1) 2012-12至2017-3, 伦敦帝国理工学院, 电气工程, 博士, 导师: Prof. Goran Strbac

(2) 2011-9至2012-11, 伦敦帝国理工学院, 控制系统, 硕士, 导师: Dr. Imad M. Jaimoukha

(3) 2008-09至2011-06, 英国诺桑比亚大学, 电气与电子工程, 学士



  • 研究方向Research Directions
电力市场的建模与分析,人工智能在电力及能源领域的应用,能源互联网中的建模、优化与控制综合能源系
科研项目

2017.11 – 2021.11    EU-SysFlex (欧盟“水平线2020计划”项目)

2016.09 – 2020.02    P2P能源交易与共享 (英国工程和自然科学研究委员会项目)

2017.09 – 2020.12    Cornwall 局域电力市场 (欧洲区域发展基金会项目)

2019.06 – 2020.06    英国华威大学校区能源系统的实时自治能源管理 (华威商学院合作项目)

2018.09 – 2022.02    E-FLEX (Innovate UK项目)

2014.09 – 2017.09    储能在低碳未来的商业经济模式及规划政策 (英国工程和自然科学研究委员会项目)

2020.10 – 2022.10    智能电网调度全景AI指挥平台关联技术研究与应用(南方电网深圳供电局有限公司)

2021.06 – 2021.12    基于统计学理论的电力知识图谱构建技术研究(国网浙江省电力公司)


研究成果

专著

·      Y.Ye; Modeling and Analyzing the Integration of Flexible Demandand Energy Storage in Deregulated Electricity Markets; 东南大学出版社&Springer出版社,已定稿.(英文专著)

 

期刊论文 (以第一或通讯作者发表期刊论文累计影响因子近100):

·       Y. Ye*, Y. Tang, H. Wang, X.-P. Zhang and G. Strbac, “A Scalable Privacy-Preserving Multi-agent Deep Reinforcement Learning Approach for Large-Scale Peer-to-Peer Transactive Energy Trading,” IEEE Transactions on Smart Grid, vol. 12, no. 6, pp. 5185-5200, Nov. 2021.

·      Y.Ye*,D. Qiu, X. Wu, G. Strbac, and J. Ward, “Model-Free Real-Time Autonomous Controlfor a Residential Multi-Energy System Using Deep Reinforcement Learning,” IEEETransactions on Smart Grid, vol. 11, no. 4, pp. 3068-3082, Jul. 2020.

·      Y.Ye, D. Qiu, M. Sun, D. Papadaskalopoulos, and G. Strbac, “DeepReinforcement Learning for Strategic Bidding in Electricity Markets,” IEEETransactions on Smart Gird, vol. 11, no. 2, pp. 1343-1355, Mar. 2020.

·      Y.Ye*,D. Papadaskalopoulos, J. Kazempour, and G. Strbac, "IncorporatingNon-Convex Operating Characteristics into Bi-Level Optimization ElectricityMarket Models", IEEE Transactions on Power Systems,vol. 35, no. 1, pp. 163-176, Jan. 2020.

·      Y.Ye, D. Papadaskalopoulos and G.Strbac, "Investigating the Ability of Demand Shifting to MitigateElectricity Producers’ Market Power", IEEE Transactions on Power Systems, vol. 33, no. 4, pp. 3800-3811, Jul.2018.

·       叶宇剑,袁泉,汤奕,Goran STRBAC.抑制柔性负荷过响应的微网分散式调控参数优化[J/OL].中国电机工程学报:1-13[2021-09-01].http://kns.cnki.net/kcms/detail/11.2107.TM.20210629.1741.015.html.

·       叶宇剑,王卉宇,汤奕,Goran STRBAC.基于深度强化学习的居民实时自治最优能量管理策略[J/OL].电力系统自动化:1-13[2021-11-18].http://kns.cnki.net/kcms/detail/32.1180.TP.20211020.1233.006.html.

·       Y. Ye, D. Papadaskalopoulos and G.Strbac, "Factoring Flexible Demand Non-convexities in ElectricityMarkets", IEEE Transactions on Power Systems, vol. 30, no. 4, pp.2090-2099, July. 2015.

·      J. Li, Y. Ye*,D. Papadaskalopoulos, and G. Strbac, “Distributed Consensus-Based Coordinationof Flexible Demand and Energy Storage Resources,” IEEE Transactions on Power Systems, vol. 36, no. 4, pp.3053-3069, Jul. 2021.

·      D. Qiu, Y. Ye*,D. Papadaskalopoulos, and G. Strbac, “Scalable Coordinated Management ofPeer-to-Peer Energy Trading: A Multi-Cluster Deep Reinforcement LearningApproach,” Applied Energy, vol. 292, p. 116940, Jun. 2021.

·      J. Li, Y. Ye*,and G. Strbac, “Computationally Efficient Pricing and Benefit DistributionMechanisms for Incentivizing Stable Peer-to-Peer Energy Trading,” IEEEInternet of Things Journal, vol. 8, no. 2, pp. 734-749, Jan. 2021.

·      D. Qiu, Y. Ye*, D. Papadaskalopoulos and G. Strbac, “A Deep Reinforcement Learning Method for PricingElectric Vehicles with Discrete Charging Levels,” IEEETransactions on Industry Applications, vol. 56,no. 5, pp. 5901-5912, Sep.-Oct. 2020.

·      Y.Ye, D. Qiu, J. Li and G. Strbac, "Multi-period andMulti-spatial Equilibrium Analysis in Imperfect Electricity Markets: A NovelMulti-Agent Deep Reinforcement Learning Approach," IEEE Access, vol. 7, pp.130515-130529, Sep. 2019.

·       Y. Ye, D. Papadaskalopoulos, R. Moreira,and G. Strbac, "Investigating the Impacts of Price-Taking and Price-MakingEnergy Storage in Electricity Markets through an equilibrium programming model",IETGeneration, Transmission and Distribution, vol. 3, no. 2, pp. 305-315,Jan. 2019.

·       Y. Ye, D. Qiu, H. Wang, Y. Tang,and G. Strbac, "Real-Time Autonomous Residential Demand ResponseManagement Based on Twin Delayed Deep Deterministic Policy Gradient Learning", Energies,vol. 14, no. 3, pp. 531, Jan. 2021.

·      J. Li, Y. Ye* and G. Strbac,“Stabilizing Peer-to-Peer Energy Trading in Prosumer Coalition ThroughComputational Efficient Pricing,” Electric Power Systems Research,vol. 189, pp. 106764, Dec. 2020.

·      D. Qiu, Y. Ye* and D. Papadaskalopoulos, “Exploringthe Effects of Local Energy Markets on Electricity Retailers and Customers,” Electric Power Systems Research,vol. 189, pp. 106761, Dec. 2020.

·      D. Qiu, D. Papadaskalopoulos, Y. Ye*and G. Strbac, “Investigating the Effects of DemandFlexibility on Electricity Retailers’ Business through a Tri-Level OptimizationModel,” IET Generation, Transmission andDistribution, vol. 14, no. 9, pp. 1739-1750, May 2020.

·       W. Sun, Q. Wang, Y. Ye and Y. Tang, "Unified Modelling of Gas and Thermal Inertia for Integrated Energy System and its Application to Multitype Reserve Procurement", Applied Energy, vol. 305, p. 117963, Jan. 2022.

·       S. Feng, J. Chen, Y. Ye, X. Wu, H. Cui, Y. Tang and J. Lei, "A two-stage deep transfer learning for localisation of forced oscillations disturbance source", International Journal of Electrical Power and Energy Systems, vol. 135, p. 107577, Feb. 2022.

·       T.Oderinwale, D. Papadaskalopoulos, Y. Yeand G. Strbac, “Investigating the Impact of Flexible Demand on Market-BasedGeneration Investment Planning,” InternationalJournal of Electrical Power and Energy Systems, vol. 119,p. 105881, Jul. 2020.

·      M. Sun, Y. Wang, F. Teng, Y. Ye, G. Strbac, and C. Kang,“Clustering-Based Residential Baseline Estimation: A ProbabilisticPerspective,” IEEE Transactions on Smart Grid, vol. 10, no. 6, pp. 6014-6028,Nov. 2019.

·      G. Strbac, D. Pudjianto, M. Aunedi,D. Papadaskalopoulos, P. Djapic, Y. Ye,R. Moreira, H. Karimi, and Y. Fan "Cost-Effective Decarbonization in aDecentralized Market: The Benefits of Using Flexible Technologies andResources," IEEE Power andEnergy Magazine, vol. 17, no. 2, pp. 25-36, Feb. 2019.


专利:

·      叶宇剑; 袁泉; 汤奕; 一种抑制负荷过响应的分散式调控参数优化方法, 中国,202110219581.8, 受理.

·      叶宇剑; 王卉宇; 汤奕; 一种基于近端策略优化的居民实时自治最优能量管理方法, 中国, 202110848508.7, 受理.

·      叶宇剑; 袁泉; 汤奕; 一种面向含大规模产消者社区的可扩展能量管理协同方法, 中国, 202111302186.2, 受理.


会议论文:

·       Y. Ye*,D. Qiu, J. Ward, and M. Abram, “Model-Free Real-Time Autonomous EnergyManagement for a Residential Multi-Carrier Energy System: A Deep ReinforcementLearning Approach,” Proc. 29thInternational Joint Conference on Artificial Intelligence (IJCAI 2020),Yokohama, Japan, 11-17 July. 2020. (世界人工智能领域最顶级会议, 2020年接收率12.6%)

·      D. Papadaskalopoulos, Y. Ye and G. Strbac, "Exploringthe Role of Demand Shifting in Oligopolistic Electricity Markets", Proc.2017 IEEEPower & Energy Society General Meeting(GM), Chicago, IL, USA, 16-20 July2017. (会议最佳论文奖)

·      Y.Ye, D. Qiu, D. Papadaskalopoulos, andG. Strbac, “A Deep Q Network Approach for Optimizing Offering Strategies inElectricity Markets,” Proc. 2nd International Conference on SmartEnergy Systems and Technologies (SEST), Porto, Portugal, Sep. 9-11, 2019.

·      Y.Ye, D.Papadaskalopoulos, R. Moreira and G. Strbac, "Strategic capacitywithholding by energy storage in electricity markets", Proc. PowerTechConference 2017, Manchester, UK, Jun. 2017.

·      Y.Ye, D. Papadaskalopoulos and G.Strbac, "An MPEC approach for Analysing the Impact of Energy Storage inImperfect Electricity Markets", Proc. 13th International Conference onthe European Energy Market (EEM), Porto, Portugal, June 6-9, 2016.

·      Y.Ye, D.Papadaskalopoulos and G. Strbac, "Pricing Flexible Demand Non-convexitiesin Electricity Markets", Proc. 18th Power Systems ComputationConference (PSCC), Wroclaw, Poland, Aug. 18-22, 2014.

·      Q. Yuan, Y. Ye, Y. Tang, X. Liu and Q. Tian, “Optimal Load Scheduling inCoupled Power and Transportation Networks”, Proc. 2021 IEEE IAS Industrial & Commerical PowerSystem Asia, Chengdu, China, July. 18-21, 2021.

·       H. Wang, Y. Ye, Y. Tang, “Towards Market-Based Integration of Renewable Generation in Power Grids”, Proc. 2021 IEEE Sustainable Power and Energy Conference (iSPEC), Nanjing, China, Dec. 23-24, 2021.

·       P. Chen, Y. Ye, J. Hu, H. Wang, Y. Yin, Y. Tang, “Dynamic Modeling of Smart Buildings Energy Consumption: A Cyber-Physical Fusion Approach”, Proc. 2021 IEEE Sustainable Power and Energy Conference (iSPEC), Nanjing, China, Dec. 23-24, 2021.

·       J. Li, Y. Ye and G. Strbac, “Stabilizing Peer-to-PeerEnergy Trading in Prosumer Coalition Through Computational Efficient Pricing,” Proc. 21st Power SystemsComputation Conference (PSCC),Porto,Portugal, Jun.29 - Jul. 3, 2020.

·       D. Qiu, Y. Ye and D. Papadaskalopoulos, “Exploring the Effects of LocalEnergy Markets on Electricity Retailers and Customers,” Proc. 21st Power SystemsComputation Conference (PSCC),Porto,Portugal, Jun.29 - Jul. 3, 2020.

·      J. Li, Y. Ye and G. Strbac, “Incentivizing Peer-to-Peer Energy SharingUsing a Core Tâtonnement Algorithm,” Proc. 2020 IEEE Power& Energy Society General Meeting (GM), Montreal, Canada, 2-6 Aug. 2020.

·      D. Papadaskalopoulos, Y. Ye,and D. Qiu, “Advanced game-theoretic models in energy market & policydesign,” Proc. 2020 INFORMS Annual Meeting, Washington DC, USA, Nov.11-14, 2020.

·      J. Li, Y. Ye, D. Papadaskalopoulos, and G. Strbac, “Consensus-BasedCoordination of Time-Shiftable Flexible Demand,” Proc. 2nd InternationalConference on Smart Energy Systems and Technologies (SEST), Porto,Portugal, Sep. 9-11, 2019.

·      T. Oderinwale, Y. Ye, D. Papadaskalopoulos, and G. Strbac, “Impact of EnergyStorage on Market-Based Generation Investment Planning,” Proc. PowerTech Conference2019, Milano, Italy, Jun. 23-27, 2019.

·      G.Takis-Defteraios, D. Papadaskalopoulos, Y. Ye,and R. Moreno, “Role of Flexible Demand in Supporting Market-Based Integration ofRenewable Generation,”Proc. PowerTech Conference 2019, Milano, Italy, Jun. 23-27, 2019.

·      D. Qiu, D. Papadaskalopoulos, Y. Ye, and G. Strbac,"Investigating the Impact of Demand Flexibility on Electricity Retailers",Proc. 20th Power Systems Computation Conference (PSCC), Dublin, Ireland,Jun. 11-15, 2018.

·      T. Oderinwale, D. Papadaskalopoulos, Y. Ye,P. Ramirez, and G. Strbac, "IncorporatingDemand Flexibility in Strategic Generation Investment Planning",Proc.15th International Conference on the European Energy Market (EEM), Lodz,Poland, Jun. 27-29, 2018.


项目技术报告:

·      D. Papadaskalopoulos, Y. Ye,D. Qiu, J. Li and G. Strbac “Review of electricity market design challenges andrecommendations”, Report for Cornwall Local Energy Market, Mar. 2019.

·      K. Poncelet, A. van Stiphout, K.van den Bergh, M. Hermans, K. Bruninx, M. Ihlemann, Y. Ye, D.Papadaskalopoulos, D. Pudjianto, G. Strbac, C. O’Dwyer, D. Flynn, H. Höschle,G. Willeghems, E. Urresti-Padrón, E. Delarue “EU-SYSFLEX Deliverable D3.4:Impact analysis of market and regulatory options through advanced power systemand market modelling studies”, Report for EU-SysFlex,May 2020.

 

书 / 书章节:

·      Y.Ye, “GPSControlled Autonomous Vehicle – An Interesting Approach to GPS GuidedAutonomous Vehicle Navigation,” LAMBERT Academic Publishing, Dec. 2010.

·      E. Valenzuela, R. Moreno, D.Papadaskalopoulos, F. D. Muñoz and Y. Ye,“Exploring the Concept of Hosting Capacity from an Electricity MarketPerspective,” book chapter in Hosting Capacity for Modern Power Grids,Springer, in press.

重要科研获奖情况

序号

获奖项目名称

奖励等级

授奖单位及国别

奖励年度

1

IEEE-PESGM2017

会议最佳论文

国际学术性奖项

IEEE(国际电子电气工程协会)

2017

2

2020 IEEE Transactions on Power Systems Outstanding Reviewer杰出审稿人

国际学术性奖项

IEEE(国际电子电气工程协会)

2020

3

Fully funded PhD Scholarship

全额博士奖学金

英国高校全额博士奖学金

Imperial College London(伦敦帝国理工学院)

2012

4

Departmental Prize for Outstanding Achievement

硕士综合成绩系排名第一

英国高校奖项

Imperial College London(伦敦帝国理工学院)

2012

5

IET Prize

本科综合成绩院系排名第一

国际学术性奖项

IET(英国工程技术协会

2011

6

Student Projects Poster Competition First Prize Winner

本科生毕业设计海报竞赛

一等奖

国际学术性奖项

IET(英国工程技术协会

2011

7

Dean’s Award for Academic Achievement

院长奖学金

英国高校奖项

英国诺桑比亚大学

2011


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