【陈涛导师】招生“电气工程学院”研究生介绍
陈涛
副研究员
硕，博士生导师
男
电气工程学院
电气工程
人工智能技术,机器学习应用,电力需求侧管理,电力市场
taoc@seu.edu.cn
陈涛，男，1989年出生，安徽铜陵人，民革党员，博士/博士后，东南大学电气工程学院副研究员、博士生导师、电力工程系副主任、芬兰坦佩雷大学电力技术研究中心兼职研究员，美国密歇根大学博士学位，弗吉利亚理工大学博士后。2012年至2015年期间在芬兰坦佩雷电力研究中心及芬兰国立研发中心取得工程硕士学位（Diploma-insinoorin）并工作实习，参与欧盟智慧电力能源市场（Smart Electricity & Energy Market）、北欧电力公司数据分析(Elenia Oy)等项目，2015年至2018年博士期间协助密歇根智能电网中心主任、IET Fellow Wencong Su教授参与研究多项美国自然科学基金、福特汽车公司、底特律电力公司（DTE）科研项目，2017年期间在美国加州国家电网全球能源互联网美国研究院（GEIRI North America）工作实习，2018年至2019年博士后期间协助IEEE Life Fellow、 IEEE PES主席 Saifur Rahman 教授指导多名博士、硕士研究生，参与工作及申请了美国国家自然科学基金（NSF）、美国能源部（DOE）、以及国际知名企业（ABB，ComED，Tritium）的多项课题。
其本人长期从事人工智能技术应用、电力市场、电力需求侧管理领域的研究工作，在IEEE Transactions on Smart Grid, IEEE Transactions on Power Systems，IEEE Internet of Things Journal, Renewable Energy, IEEE PES General Meeting等国际高水平学术期刊及会议上发表SCI\EI论文80余篇，获IEEE ISGT-ASIA会议2019年度最佳论文奖、IEEE iSPEC会议2021年度最佳论文奖、IEEE CIEEC会议2022年度最佳论文奖、IEEE Transactions on Smart Grid期刊2020年度最佳审稿人奖。曾担任 APPEEC、EI2、ISGT-Asia、iSPEC等各类国际会议Session Chair，长期担任国际\国内各权威学术期刊审稿人，曾受邀担任 Frontiers in Energy Research、World Electric Vehicle Journal、《供用电》、《电力需求侧管理》、《华电技术》期刊杂志特约专刊主编，现担任《电力需求侧管理》杂志编委会委员、中国电科院杂志中心青年专家团成员、IEEE PES（中国）智能电网柔性资源互动分委会常务理事、南京市侨联第三届青年委员会委员、南京市欧美同学会会员。现主持国家自然科学基金（青年）、江苏省自然科学基金（青年）、澳门大学智慧城市物联网国家重点实验室开放课题、国家电网科技项目等项目共10项，参与国家重点研究计划、国家自然科学基金（面上）、英国繁荣基金、中国电科院国网总部项目等课题20余项。
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科研项目
l 国家自然科学基金（青年）项目，“基于深度强化学习技术的可交易能源系统智能决策问题研究”，2022.1 - 2024.12，24万元（主持）
l 江苏省自然科学基金（青年）项目，“基于新型人工智能与物联网技术的本地可交易能源系统研究”，2021.7 - 2024.7，20万元（主持）
l 南京留学人员科技创新项目，“基于深度强化学习的电力需求侧管理新型技术研究”，2021.7 - 2022.7，3万元（主持）
l 澳门大学智慧城市物联网国家重点实验室开放课题项目，“人工智能物联网电力能源共享社区研究”， 2022.3 – 2023.12，10万澳元（主持）
l 江苏省智能电网技术与装备重点实验室（一般）项目，“基于人工智能的能源物联网运行调控研究”，2022.1 – 2023.12，8万元（主持）
l 国家电网公司科技项目，“大规模可调节负荷资源评估、规划运行、优化调节关键技术研究及示范应用”，2021.1 - 2022.12，202万元（主持）
l 国家电网公司科技项目，“基于源网荷储互动的清洁能源市场化水平消纳体系研究”，2020.1 - 2021.12，84万元（主持）
l 国家电网公司科技项目，“现货市场环境下的电网规划方法与仿真验证评价体系研究理论研究”，2020.1 - 2021.12，38万元（主持）
l 国家重点研究计划项目，“综合能源高效协同运行关键技术及应用示范”，2020.12 - 2023.11，250万元（参与）
l 国家自然科学基金（面上）项目，“连续时间优化理论在异构负荷聚合建模与优化调度中的应用”， 2022.1-2025.12， 58万元（参与）
l 国家自然科学基金（面上）项目，“跨境综合能源系统分布式协同运行及联合仿真技术研究”， 2022.1-2025.12， 58万元（参与）
l 中英繁荣基金项目CELCEP，“Efficiency Analysis and Policy Recommendation of Jiangsu Power Market Design and Operation”，2020.6 – 2021.11，25万英镑（参与）
l 美国能源部（DOE）项目，"A Probability-based Model for Cost-effective Integration of Renewables into the Electricity Grid", 2017-2019，84万美金（参与）
l 美国能源部（DOE）项目，"Enabling Secure and Resilient XFC: A Software/Hardware-Security Co-Design Approach", 2019-2020，220万美金（参与）
l 美国自然科学基金（NSF）项目，"I-Corps: Distributed Energy Management Systems for Grid Integration of Distributed Energy Storage Devices", 2015-2016，60万美金，（参与）
l 密歇根大学-上海交通大学联合（UM-SJTU）项目，"Adaption and Coordination Technology of Large-Scale EV Charging and Variable Renewable Energy Based on Big Data and Electricity Network Reliability Analysis", UM-SJTU, 2016-2019，25万美金（参与）
l 芬兰欧盟Smart Energy and Electricity Market项目，2013.1 – 2015.12，120万欧元（参与）
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研究成果
专著章节
[1]. T. Chen, H. Pourbabak, and W. Su, “Electricity Market Reform”, Energy Internet: An Open Energy Platform to Transform Legacy Power Systems into Open Innovation and Global Economic Engine, Elsevier, pp. 97-121, 2019.
[2]. H. Pourbabak, T. Chen, and W.Su, “Centralized, decentralized, and distributed control for Energy Internet”, Energy Internet: An Open Energy Platform to Transform Legacy Power Systems into Open Innovation and Global Economic Engine, Elsevier, pp. 3-19, 2019.
[3]. H. Pourbabak, T. Chen, and W.Su, “Emerging data encryption methods applicable to Energy”, Energy Internet: An Open Energy Platform to Transform Legacy Power Systems into Open Innovation and Global Economic Engine, Elsevier, pp. 181-199, 2019.
[4]. H. Pourbabak, T. Chen, and B. Zhang, and W. Su, “Control and Energy Management Systems in Microgrids”, Clean Energy Microgrids, The Institution of Engineering and Technology (IET), pp. 109-132, 2017.
期刊论文：
[1]. T. Chen, C. Gao, et al. “Intelligent Energy Management of Low Carbon Hybrid Energy System with SOFC and Accurate Battery Model”, IET Smart Grid, 2022.
[2]. T. Chen, C. Gao, and Y. Song, “Optimal control strategy for solid oxide fuel cell‐based hybrid energy system using deep reinforcement learning”, IET Renewable Power Generation, vol.16, no.5, pp.912-921, 2022.
[3]. T. Chen, M. Song, H. Hui, and H. Long, “Battery electrode mass loading prognostics and data-driven analysis for lithium-ion battery-based energy storage system”, Frontiers in Energy Research, 543, 2021.
[4]. T. Chen, C. Gao, H. Hui and H. Long, “A generalized additive model-based data-driven solution for lithium-ion battery capacity prediction and local effects analysis”, Transactions of the Institute of Measurement and Control, November 2021.
[5]. T. Chen, Q. Cui, C. Gao, and et. al., “Optimal Demand Response Strategy of Commercial Building-based Virtual Power Plant using Reinforcement Learning”, IET Generation, Transmission & Distribution, v.15, no.16, pp.2309-2318, August 2021.
[6]. T. Chen, M. Pipattanasomporn, I. Rahman, Z. Jing, and S. Rahman, “MATPLAN: A Probability-based Planning Tool for Cost-effective Integration of Renewable Energy into the Electricity Grid”, Renewable Energy, vol.156, pp.1089-1099, August 2020.
[7]. T. Chen, and W. Su, "Indirect Customer-to-Customer Energy Trading with Reinforcement Learning", IEEE Trans. on Smart Grid, vol.10, no. 4, pp.4338-4348, 2019.
[8]. T. Chen, B. Zhang, H. Pourbabak, A. K. Fard, and W. Su, “Optimal Routing and Charging of an Electric Vehicle Fleet for High-Efficient Dynamic Transit Systems”, IEEE Trans. on Smart Grid, vol.9, no.4, pp.3563-3572, July 2018.
[9]. T. Chen, and W. Su, "Local Energy Trading Behavior Modeling with Deep Reinforcement Learning", IEEE Access, vol.6, no.1, pp.62806-62814, Dec. 2018.
[10]. T. Chen, Q. Alsafasfeh, H. Pourbabak, and W. Su, "The Next-generation Retail Electricity Market with Customers and Prosumers - A Bibliographical Survey", Energies, vol.11, no.1, 2017.
[11]. T. Chen, H. Pourbabak, Z. Liang, and W. Su, "An Integrated eVoucher Mechanism for Flexible Loads in Real-Time Retail Electricity Market", IEEE Access, vol. 5, pp. 2101 – 2110, 2017.
[12]. M. Niu, C. Gao, and T. Chen. “Energy Pricing Mechanism Considering Energy Converter Devices as Components of Pan-Energy Transmission System”, IEEE Transactions on Smart Grid, vol.13, no.2, pp.1061-1074, 2022.
[13]. Y. Xu, K. Mert, L. Mili, J. Valinejad, T. Chen, and X. Chen, "An Iterative Response-Surface-Based Approach for Chance-Constrained AC Optimal Power Flow Considering Dependent Uncertainty", IEEE Transactions on Smart Grid, vol.12, no.3, pp. 2696 – 2707, 2021.
[14]. Y. Yao, C. Gao, K. Lai, T. Chen, and J. Yang, “An incentive-compatible distributed integrated energy market mechanism design with adaptive robust approach”, Applied Energy, vol.282, 2021.
[15]. X. Zhang, M. Pipattanasomporn, T. Chen, and S. Rahman, "An IoT-based Thermal Model Learning Framework for Smart Buildings", IEEE Internet of Things Journal, 2019, vol.7, no.1, pp.518 – 527, 2019.
[16]. H. Hui, Y. Ding, T. Chen, S. Rahman, and Y. Song, “Dynamic and Stability Analysis of the Power System With the Control Loop of Inverter Air Conditioners”, IEEE Transactions on Industrial Electronics, vol.68, no.3, pp. 2725 – 2736, 2021.
[17]. M. A. Mohamed, T. Chen, W. Su, and T. Jin, Proactive Resilience of Power Systems Against Natural Disasters: A Literature Review. IEEE Access, vol.7, pp.163778-163795, 2019.
[18]. H. Pourbabak, J. Luo, T. Chen, and W. Su, "A Novel Consensus-based Distributed Algorithm for Economic Dispatch Based on Local Estimation of Power Mismatch", IEEE Trans. on Smart Grid, vol.9, no.6, pp.5930-5942, November 2018.
[19]. H. Pourbabak, A. Ajao, T. Chen, and W. Su, "Fully Distributed AC Power Flow (D-ACPF) Algorithm for Distribution Systems”, IET Smart Grid, vol. 2, no. 2, pp. 155-162, 2018.
[20]. F. Chang, T. Chen, W. Su, and Q.H. Alsafasfeh, "Charging Control of an Electric Storage Battery Based on Reinforcement Learning and Long Short-term Memory Networks", Computers and Electrical Engineering, vol.85, 106670, July 2020.
[21]. S. Xu, X. Chen, J. Xie, S. Rahman, J. Wang, H. Hui and T. Chen, “Agent-based modeling and simulation for the electricity market with residential demand response” CSEE Journal of Power and Energy Systems, vol.7, no.2, pp.368 – 380, May 2020.
[22]. K. Lai, T. Chen, and B. Natarajan, “Optimal scheduling of electric vehicles car-sharing service with multi-temporal and multi-task operation”, Energy, vol.204, 2020.
[23]. Li, Dongsen, Ciwei Gao, T. Chen, Xiaoxuan Guo, and Shuai Han. "Planning strategies of power-to-gas based on cooperative game and symbiosis cooperation." Applied Energy 288 (2021): 116639.
[24]. Y. Yao, C. Gao, T. Chen, J. Yang, and S. Chen, “Distributed electric energy trading model and strategy analysis based on prospect theory”, International Journal of Electrical Power & Energy Systems, vol. 131, 2021.
[25]. Y. Wang, K. Tang, K. Lai, T. Chen and X. Wu, “Optimal planning of charging stations for an electric vehicle fleet in car‐sharing business”, International Transactions on Electrical Energy Systems, e13098, 2021.
[26]. Liu, K., Peng, Q., Li, K., & T. Chen, “Data-Based Interpretable Modeling for Property Forecasting and Sensitivity Analysis of Li-ion Battery Electrode”, Automotive Innovation, 1-13, 2022.
[27]. Li, T., Gao, C., T. Chen, Jiang, Y., & Feng, Y. “Medium and long-term electricity market trading strategy considering renewable portfolio standard in the transitional period of electricity market reform in Jiangsu, China”, Energy Economics, 105860, 2022.
[28]. H Hui, Y Ding, K Luan, T Chen, Y Song, S Rahman, “Coupon-Based Demand Response for Consumers Facing Flat-Rate Retail Pricing”, CSEE Journal of Power and Energy Systems, 2022.
[29]. Yan, X., Gao, C., Song, M., T. Chen, Ding, J., Guo, M., ... & Abbes, D. An IGDT-based Day-ahead Co-optimization of Energy and Reserve in a VPP Considering Multiple Uncertainties. IEEE Transactions on Industry Applications, 2022.
[30]. M Song, Y Cai, C Gao, T. Chen, Y Yao, H Ming, Transactive energy in power distribution systems: Paving the path towards cyber-physical-social system, International Journal of Electrical Power & Energy Systems 142, 108289, 2022.
[31]. M Song, J Meng, G Lin, Y Cai, C Gao, T. Chen, H Xu, Applications of shared economy in smart grids: Shared energy storage and transactive energy, The Electricity Journal, 35 (5), 107128, 2022.
[32]. 宋艺航,王刚,蔡浩,高赐威,陈涛.售电公司购售电决策研究综述[J].电力需求侧管理,2020,22(06):85-89.
[33]. 黄国日,宋艺航,蔡浩,高赐威,陈涛.考虑可转移负荷的售电公司负荷组合优化[J].电力建设,2020,41(11):126-134.
[34]. 黄豫,邵冲,郝洁,柴明哲,高赐威,陈涛.能源互联网环境下的多能需求响应技术[J].电力需求侧管理,2020,22(05):2-6+18.
[35]. 胡秦然,丁昊晖,陈心宜,陈涛,丁一原,李扬.美国加州2020年轮流停电事故分析及其对中国电网的启示[J].电力系统自动化,2020,44(24):11-18.
[36]. 葛毅,陈佳铭,朱永康,史静,李冰洁,胡秦然,陈涛.考虑广义需求侧资源的江苏“十四五”电源规划[J].电力需求侧管理,2021,23(2):04-09.
[37]. 蔡浩,黄博,高赐威,陈涛.考虑用户用电效用的售电公司交易联合优化策略[J].电力需求侧管理,2021,23(06):31-36.
[38]. 柴明哲,高赐威,陈涛,胡楠,管永丽.江苏省工业用户配置储能的经济性研究[J].电力需求侧管理,2021,23(03):47-51.
[39]. 宋雨桐,陈涛,高赐威,宋梦,胡秦然.基于深度强化学习技术的光伏-固体氧化物燃料电池混合能源系统多场景控制[J].中国电机工程学报,2022,DOI:10.13334/j.0258-8013.
[40]. 管馨,陈涛,高赐威.适应风电参与电力市场的需求侧储能负荷运行优化研究[J].综合智慧能源,2022,44(02):35-41.
[41]. 高赐威,王崴,陈涛.基于可逆固体氧化物电池的电氢一体化能源站容量规划[J/OL].中国电机工程学报:1-15[2022-03-28].
[42]. 严兴煜,高赐威,陈涛,丁建勇.数字孪生虚拟电厂系统框架设计及其实践展望[J/OL].中国电机工程学报:1-17[2022-03-28].
会议论文：
[1]. T. Chen, Q Hu, Y Wang, X Quan, F Zhang, X Yan, “Residential Energy Arbitrage Considering Demand Response and Accurate Battery Model with Degradation Cost”, 2022 International Conference on Power Energy Systems and Applications, Singapore, 2022.
[2]. T. Chen, A. Mutanen, and P. Järventausta, “Customized Retail Pricing Scheme Design with a Hybrid Data-driven Method”, In 2021 IEEE Sustainable Power and Energy Conference, Nanjing, China, 2021.
[3]. T. Chen, W. Tian, J. Wu, Y. Lin, Y. Yao, and C. Gao, “P2P Energy Trading based on Blockchain and Customer Risk Preference”, 2020 12th IEEE PES Asia-Pacific Power and Energy Engineering Conference, Nanjing, China, 2020.
[4]. T. Chen, C. Huang, F. Hu, J. Zhao and W. Su, ”Self-learning Prosumer in Competitive Local Energy Market”, IEEE Innovative Smart Grid Technologies Asia, Chengdu, China, 5. 2019. (Best Paper Award)
[5]. T. Chen, C. Yuan, G. Liu, and R. Dai, ”Graph based Platform for Electricity Market Study, Education and Training”, IEEE Power and Energy Society General Meeting. Portland, OR, Aug. 2018.
[6]. T. Chen, W. Su, and Y. Chen, "An Innovative Localized Retail Electricity Market based on Energy Broker and Search Theory", 2017 North American Power Symposium (NAPS), Morgantown, WV, USA, September 17-19, 2017.
[7]. T. Chen, K. Qian, A. Mutanen, B. Schullerzx, P. Jarventausta, and W. Su, "Classification of Electricity Customer Groups Towards Individualized Price Scheme Design", 2017 North American Power Symposium (NAPS), Morgantown, WV, USA, September 17-19, 2017.
[8]. T. Chen, H. Pourbabak, Z. Liang, and W. Su, "Participation of Electric Vehicle Parking Lots into Retail Electricity Market with eVoucher Mechanism", 2017 IEEE Transportation Electrification Conference and Expo, Asia-Pacific (ITEC Asia-Pacific), Harbin, China, August 2-5, 2017.
[9]. T. Chen, H. Pourbabak, and W. Su, “A Game Theoretic Approach to Analyze the Dynamic Interactions of Multiple Residential Prosumers Considering Power Flow Constraints”, 2016 IEEE Power and Energy Society General Meeting, Boston, MA, U.S.A. July 17-21, 2016.
[10]. T. Chen, A. Mutanen, P. Järventausta and K. Hannu, ”Change Detection of Electric Customer Behavior Based on AMR Measurements,” IEEE PowerTech2015, Eindhoven, Netherland, Jul. 2015.
[11]. Y. Yao, J. Yang, S. Chen, C. Gao, and T. Chen, “Design of Distributed Power Trading Mechanism Based on P2P Contract”, in 2020 12th IEEE PES Asia-Pacific Power and Energy Engineering Conference, Nanjing, China, 2020.
[12]. F. Chang, T. Chen, and W. Su, "F. Chang, T. Chen, and W. Su*, "Charging Control of an Electric Vehicle Battery Based on Reinforcement Learning", the 10th International Renewable Energy Congress, Sousse, Tunisia, March 26-28, 2019.
[13]. Z. Liang, T. Chen, and W. Su, "Robust Distributed Energy Resources Management for Microgrids in a Retail Electricity Market", 2017 North American Power Symposium (NAPS), Morgantown, WV, USA, September 17-19, 2017.
[14]. H. Pourbabak, S. Xu, T. Chen, Z. Liang, and W. Su, "Distributed Control Algorithm for Optimal Power Allocation of EV Parking Lots", 2017 IEEE Power and Energy Society General Meeting, Chicago, IL, USA, July 16-20, 2017.
[15]. B. Zhang, W. Li, T. Chen, and W. Su, "A Simulation Platform for Energy-Efficient Dynamic Commuter Transit using Electric Vehicles", 2016 IEEE Transportation Electrification Conference and Expo Asia-Pacific, Busan, Korea, June 1-4, 2016.
[16]. B. Zhang, T. Chen, and W. Su, "Optimal Routing and Charging of Uber-like Electric Vehicle Considering Dynamic Electricity Price and Passenger Satisfaction", 2016 IEEE Transportation Electrification Conference and Expo Asia-Pacific, Busan, Korea, June 1-4, 2016.
[17]. H. Pourbabak, T. Chen, and W. Su, "Consensus-based Distributed Control for Economic Operation of Distribution Grid with Multiple Consumers and Prosumers", 2016 IEEE Power and Energy Society General Meeting, Boston, MA, U.S.A. July 17-21, 2016.
[18]. W. Guo, X. Zha, K. Qian, and T. Chen, “Can Active Learning Benefit the Smart Grid? A Perspective on Overcoming the Data Scarcity”, 2019 IEEE 2nd International Conference on Electronics and Communication Engineering (ICECE), Xian, China, 2019.
[19]. Feng, Yingchun, Yunting Yao, Xuesong Li, Yu Jiang, Ciwei Gao, and T. Chen. "Design of Green Certificate Trading Mechanism Based on Double Auction." In 2020 IEEE 4th Conference on Energy Internet and Energy System Integration (EI2), pp. 3496-3501. IEEE.
[20]. Feng, Yingchun, Tianyu Li, Ciwei Gao, T. Chen, Xuesong Li, and Yu Jiang. "Optimal Trading Strategy of Coordinating Electricity Purchase in Monthly Electricity Market and Day-ahead Market Based on CVaR." In 2020 IEEE 4th Conference on Energy Internet and Energy System Integration (EI2), pp. 1507-1511. IEEE.
[21]. Yang, Jianlin, Gujing Lin, Ran Lv, Ciwei Gao, and T. Chen. "Research on Construction and Dispatching of Virtual Power Plant Based on Reserve Energy Storage of Communication Base Station." In 2020 IEEE 4th Conference on Energy Internet and Energy System Integration (EI2), pp. 398-403. IEEE.
[22]. Tian, Wei, Jingying Wu, Zhaoli Leng, Yunfeng Cai, Kang Chen, Ciwei Gao, T. Chen, and Yang Cao. "A Survey of Value-added Services for Electricity Transaction in China." In IEEE 4th Conference on Energy Internet and Energy System Integration (EI2), pp. 2667-2672, 2020.
[23]. Wang, Y., Cui, Q., Tang, X., Li, D., & T. Chen, Waveform Vector Embedding for Incipient Fault Detection in Distribution Systems. In 2021 IEEE Sustainable Power and Energy Conference (iSPEC), 2021.
[24]. Liu, K., Li, K., & T. Chen, Interpretable Sensitivity Analysis and Electrode Porosity Classification for Li-ion Battery Smart Manufacturing. In 2021 IEEE Sustainable Power and Energy Conference (iSPEC), 2021. (Best Paper)
[25]. K. Liu, J. Li, C. Zhu, T. Chen, K. Li, Q. Zhou, H. Xu, Electrothermally-Aware Multi-objective Modular Design: A Case Study on Series-Parallel Plug-in Hybrid Electric Vehicles, IEEE CIEEC, Nanjing, 2022. (Best Paper)
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