丁肇豪 副教授

发布日期:2020年04月16日

丁肇豪,华北电力大学电气与电子工程学院副教授,电力市场研究所副所长,入选第六届中国科协青年人才托举工程、北京市优秀人才培养资助计划,长期从事人工智能和运筹学方法在电力市场、电动交通、数据中心等信息-物理-社会系统中的应用研究。主持及参与国家自然科学基金、国家重点研发计划、国家发改委、国家能源局等30余项国家级和省部级纵向和国家电网、南方电网、阿里巴巴等横向科研项目。发表高水平学术论文70余篇,其中高水平期刊论文30余篇。作为主笔人之一参与了国家能源局《电力市场基本规则》、《电力市场监管办法》等规则的草拟工作。作为主要成员参与了多个省市和区域电力市场建设方案的研究和起草工作。获IEEE IAS Outstanding Young Member Service Award、中国能源创新奖二等奖、IEEE IAS年度最佳论文奖、北美电力系统年会最佳论文奖等学术奖励。担任多项学术兼职,其中包括IEEE IAS MG & VPP分委会主席,IEEE IAS DER分委会副主席,中国电机工程学会能源系统专委会副秘书长,IEEE Transactions on Smart Grid, IEEE Transactions on Industry Applications编委等。

联系方式:

邮件:zhaohao.ding@ncepu.edu.cn

电话:+86-10-61771405

地址:北京市昌平区华北电力大学 主楼A517

教学情况:

2021-2022春季学期本科生课程《电力系统经济与管理》

2021-2022秋季学期研究生课程《电力市场理论与应用》

2021-2022秋季学期本科生课程《电力市场基础》

2020-2021春季学期本科生课程《电力系统经济与管理》

2020-2021秋季学期研科生课程《电力市场理论与应用》

2020-2021秋季学期本究生课程《电力市场基础》

2019-2020春季学期本科生课程《电力系统经济与管理》

2019-2020秋季学期研究生课程《电力市场理论与技术》

2019-2020秋季学期本科生课程《电力市场基础》

2018-2019春季学期研究生课程《电力市场理论与技术》

2018-2019秋季学期本科生课程《电力市场基础》

获奖情况:

• Best Paper Award,IEEE I&CPS Asia,2020年06月

• IEEE Outstanding Young Member Service Award,IEEE工业应用学会,2020年06月

• 2019年中国能源创新奖二等奖,中国能源研究会,2019年12月

• 2018年度能源系统领域最佳论文奖,IEEE 工业应用学会,2019年5月

• 最佳论文奖第二名, North American Power Symposium,2014年9月

• “Daniel J. Noll”最受欢迎论文奖,Texas Energy Research Challenge,2013年2月

学生培养:

硕士研究生:【2016级】Amanuel Asrat;【2017级】卢莹(北京市优秀毕业生,国家奖学金,IEEE Myron Zucker奖学金);【2018级】朱枫(英国帝国理工大学访问学生);【2019级】郭今冉(国家奖学金)、余开媛(北京市优秀毕业生);【2020级】黄媛、谈文睿(国家奖学金);【2021级】窦子啸、孙逸萌、王丹丹、张煜

本科毕业设计【2017届】赵轶凡(优秀);【2018届】马明辉、马欣明、周文杰;【2019届】郭今冉(优秀)、王奕;【2020届】戴泽印、邓皓元、马斯宇、谈文睿(优秀)、王潇宇;【2021届】窦子啸(北京市优秀毕业生)、孙逸萌(百篇优秀毕业论文,北京市优秀毕业生,校长奖学金)、吴昇阳;【2022届】陈佳瑶、李欣然、路企源、秦龄、孙冉、徐志远

著作与专利:

部分期刊论文:

[1] Zhaohao Ding, Wenrui Tan, Wenbing Lu, Wei-Jen Lee. Quality-of-Service Aware Battery Swapping Navigation and Pricing for Autonomous Mobility on Demand System. IEEE Transactions on Industrial Informatics, 2022:1-1. (In press)

[2] Jianxiao Wang, Zhaohao Ding, Guannan He, Qifang Chen. Guest Editorial for Special Issue on Advanced Technology and Application for Hydrogen-Integrated Transportation and Power Systems. IEEE Transactions on Industry Applications, 2022:1-1. (In press)

[3] Zhaohao Ding, Kaiyuan Yu, Cheng Wang, Wei-Jen Lee. Transmission Line Overload Risk Assessment Considering Dynamic Line Rating Mechanism in High Wind Penetrated Power System: A Data-Driven Approach. IEEE Transactions on Sustainable Energy, 2022, 13(2): 1112-1122.

[4] Anjia Mao, Tiantian Yu, Zhaohao Ding*, Sidun Fang, Jinran Guo, Qianqian Sheng. Optimal scheduling for seaport integrated energy system considering flexible berth allocation. Applied Energy, 2022, 308: 118386.

[5] Ying Lu, Yanchang Liang, Zhaohao Ding*, Qiuwei Wu, Tao Ding, Wei-Jen Lee. Deep Reinforcement Learning based Charging Pricing for Autonomous Mobility-on-Demand System. IEEE Transactions on Smart Grid, 2022, 13(2): 1412-1426.

[6] Zhaohao Ding, Wenrui Tan, Wei-Jen Lee, Xuyang Pan, Shiqiao Gao. Integrated Operation Model for Autonomous Mobility-on-Demand Fleet and Battery Swapping Station. IEEE Transactions on Industry Applications, 2021, 57(6): 5593-5602.

[7] Shuli Wen, Tianyang Zhao, Yi Tang, Yan Xu, Miao Zhu, Sidun Fang, Zhaohao Ding. Coordinated optimal energy management and voyage scheduling for all-electric ships based on predicted shore-side electricity price. IEEE Transactions on Industry Applications, 2020, 57(1): 139-148.

[8] Yanchang Liang, Zhaohao Ding*, Tao Ding, Wei-Jen Lee. Mobility-Aware Charging Scheduling for Shared On-Demand Electric Vehicle Fleet Using Deep Reinforcement Learning. IEEE Transactions on Smart Grid,2021, 12(2): 1380-1393.

[9] Shiwei Xia, Zhaohao Ding, Mohammad Shahidehpour, Ka Wing Chan, Siqi Bu, Gengyin Li. Transient Stability-Constrained Optimal Power Flow Calculation with Extremely Unstable Conditions using Energy Sensitivity Method. IEEE Transactions on Power Systems, 2020:1-1. (In press).

[10] Zhaohao Ding, Jinran Guo, Kexing Lai, Wei-Jen Lee. Spatial-Temporal Demand Management and Benefit Allocation for Geo-Distributed Charging Station and EV Aggregators. IEEE Transactions on Industry Applications, 2020, 56(6): 6238-6249.

[11] Wei-Jen Lee, Goran Strbac, Zechun Hu, Zhaohao Ding, Piampoom Sarikprueck, Fei Teng, Georges Kariniotakis. Special issue on advanced approaches and applications for electric vehicle charging demand management. IEEE Transactions on Industry Applications, 2020, 56(5): 5682-5683.

[12] Yanchang Liang, Chunlin Guo, Zhaohao Ding, Huichun Hua. Agent-Based Modeling in Electricity Market Using Deep Deterministic Policy Gradient Algorithm. IEEE Transactions on Power Systems,2020, 35(6): 4180-4192.

[13] Zhaohao Ding, Fei Teng, Piampoom Sarikprueck, Zechun Hu. Technical Review on Advanced Approaches for Electric Vehicle Charging Demand Management, Part II: Applications in Transportation System Coordination and Infrastructure Planning. IEEE Transactions on Industry Applications, 2020, 56(5): 5695-5703.

[14] Fei Teng, Zhaohao Ding, Zechun Hu, Piampoom Sarikprueck. Technical Review on Advanced Approaches for Electric Vehicle Charging Demand Management, Part I: Applications in Electric Power Market and Renewable Energy Integration. IEEE Transactions on Industry Applications, 2020, 56(5): 5684-5694.

[15] Wang Peng, Yujie Cao, Zhaohao Ding*. Flexible Multi-Energy Scheduling Scheme for Data Center to Facilitate Wind Power Integration. IEEE Access 2020, 8: 88876-88891.

[16] Zhaohao Ding, Ying Lu, Kexing Lai, Ming Yang, Wei-Jen Lee. Optimal coordinated operation scheduling for electric vehicle aggregator and charging stations in an integrated electricity-transportation system. International Journal of Electrical Power & Energy Systems, 2020, 121: 106040.

[17] Shiwei Xia, Zhaohao Ding, Ting Du, Dongying Zhang, Mohammad Shahidehpour, Tao Ding. Multitime Scale Coordinated Scheduling for the Combined System of Wind Power, Photovoltaic, Thermal Generator, Hydro Pumped Storage, and Batteries. IEEE Transactions on Industry Applications, 2020, 56(3): 2227-2237.

[18] Yanchang Liang, Chunlin Guo, Jingjing Yang, Zhaohao Ding. Optimal Planning of Charging Station Based on Discrete Distribution of Charging Demand. IET Generation, Transmission & Distribution, 2020, 14(6): 965-974.

[19] Zhaohao Ding*, Feng Zhu, Yajing Wang, Ying Lu, Lizi Zhang. Flexible Demand Resource Pricing Scheme: A Stochastic Benefit-Sharing Approach. IEEE Transactions on Industry Applications, 2019, 55(6): 5554-5563.

[20] Fang Cao, Yajing Wang, Fengzhu, Yujie Cao, Zhaohao Ding*. UPS Node based Workload Management for Data Centers Considering Flexible Service Requirements. IEEE Transactions on Industry Applications, 2019,55(6): 5533-5542.

[21] Sidun Fang, Yan Xu, Zhengmao Li, Zhaohao Ding, Lu Liu, Hongdong Wang. Optimal Sizing of Shipboard Carbon Capture System for Maritime Greenhouse Emission Control. IEEE Transactions on Industry Applications, 2019, 55(6): 5543-5553.

[22] Yu Cheng, Wang Wang, Zhaohao Ding*, Zhiyao He. Electric bus fast charging station resource planning considering load aggregation and renewable integration. IET Renewable Power Generation, 2019, 13(7): 1132-1141.

[23] Zhaohao Ding*, Yujie Cao, Liye Xie, Ying Lu, Peng Wang. Integrated Stochastic Energy Management for Data Center Microgrid Considering Waste Heat Recovery. IEEE Transactions on Industry Applications, 2018, 55(3): 2198-2207.

[24] Yuanzheng Li, Tianyang Zhao*, C. H. Liu, Y. Zhao, Ping Wang, H.B. Gooi, Kaicheng Li, Zhaohao Ding. An Interactive Decision-Making Model Based on Energy and Reserve for Electric Vehicles and Power Grid Using Generalized Stackelberg Game. IEEE Transactions on Industry Applications, 2018, 55(4): 3301 – 3309.

[25] Shiwei Xia, K.W. Chan, Xiao Luo, Siqi Bu, Zhaohao Ding, Bin Zhou. Optimal sizing of energy storage system and its cost-benefit analysis for power grid planning with intermittent wind generation. Renewable Energy, 2018,122:472-486.

[26] Yuanzheng Li, Tianyang Zhao, Ping Wang, Hoay Beng Gooi, Zhaohao Ding, Kaicheng Li, Wei Yan. Flexible Scheduling of Microgrid with Uncertainties Considering Expectation and Robustness. IEEE Transactions on Industry Applications, 2018,54(4):3009-3018.

[27] Zhaohao Ding, Ying Lu, Lizi Zhang, Wei-Jen Lee, Dayu Chen. A Stochastic Resource-Planning Scheme for PHEV Charging Station Considering Energy Portfolio Optimization and Price-Responsive Demand. IEEE Transactions on Industry Applications, 2018, 54 (6):5590-5598.

[28] Zhaohao Ding, Liye Xie, Ying Lu, Peng Wang, Shiwei Xia. Emission-Aware Stochastic Resource Planning Scheme for Data Center Microgrid Considering Batch Workload Scheduling and Risk Management. IEEE Transactions on Industry Applications. 2018, 54(6): 5599 – 5608

[29] Zhaohao Ding, Piampoom Sarikprueck, Wei-Jen Lee. Medium-Term Operation for an Industrial Customer Considering Demand-Side Management and Risk Management. IEEE Transactions on Industry Applications, 2016, 52(2):1127-1135.

[30] Zhaohao Ding, Wei-Jen Lee. A stochastic microgrid operation scheme to balance between system reliability and greenhouse gas emission. IEEE Transactions on Industry Applications, 2016, 52(2):1157-1166.

[31] Zhaohao Ding, Wei-Jen Lee, Juanjuan Wang. Stochastic Resource Planning Strategy to Improve the Efficiency of Microgrid Operation. IEEE Transactions on Industry Applications, 2015, 51(3):1978-1986.

[32] Zhuodi Wang, Kejun Li, Jingguo Ren, Jianguo Zhao, Yongliang Liang, Wei-Jen Lee, Zhaohao Ding, Ying Sun. A Coordination Control Strategy of Voltage-Source-Converter-Based MTDC for Offshore Wind Farms. IEEE Transactions on Industry Applications, 2015, 51(4):1-1.

[33] Jie Shi, Zhaohao Ding, Wei-Jen Lee, Yongping Yang, Yongqian Liu, Mingming Zhang. Hybrid Forecasting Model for Very-Short Term Wind Power Forecasting Based on Grey Relational Analysis and Wind Speed Distribution Features. IEEE Transactions on Smart Grid,2014,5(1): 521 – 526

[34] 丁肇豪, 曹雨洁, 张素芳*, 王鹏, 刘吉臻, 程明, 毛宏举. 能源互联网背景下数据中心与电力系统协同优化(一):数据中心能耗模型. 中国电机工程学报:1-18[2022-04-02].DOI:10.13334/j.0258-8013.pcsee.210813.

[35] 曹雨洁, 丁肇豪, 王鹏, 张素芳, 刘吉臻, 刘文娟, 程明. 能源互联网背景下数据中心与电力系统协同优化(二):机遇与挑战.中国电机工程学报:1-16[2022-04-02].DOI:10.13334/j.0258-8013.pcsee.210814.

[36] 方斯顿, 赵常宏, 丁肇豪, 张沈习, 廖瑞金. 面向碳中和的港口综合能源系统(一):典型系统结构与关键问题. 中国电机工程学报:1-22[2022-04-02].DOI:10.13334/j.0258-8013.pcsee.212120.

[37] 方斯顿, 赵常宏, 丁肇豪, 张沈习, 廖瑞金. 面向碳中和的港口综合能源系统(二):能源-交通融合中的柔性资源与关键技术. 中国电机工程学报:1-20[2022-04-02].DOI:10.13334/j.0258-8013.pcsee.212121.

[38] 丁肇豪, 余开媛, 王程. 考虑动态输送容量机制的电力传输线过载风险评估. 电力系统自动化, 2021, 45(09): 146-152.

[39] 黄弦超, 封钰, 丁肇豪*. 多微网多时间尺度交易机制设计和交易策略优化. 电力系统自动化, 2020, 44(24): 77-88.

[40] 廖侃, 丁肇豪*, 舒隽, 陈杰, 赵进. 欧美电力市场操纵行为监管原则分析及其对中国的启示[J]. 电力系统自动化, ,2020, 44(14): 1-8.

[41] 范斌, 姚瑜, 赵志芳, 李雲建, 张粒子, 丁肇豪. 美英电力市场信息披露机制及其对中国的启示. 价格理论与实践, 2018(01): 78-81.


部分会议论文:

[1] Wenyu Liu, Hongju Mao, Yujie Cao, Wenrui Tan, Zhaohao Ding, Peng Wang. Long-term Energy Consumption Forecasting for Data Center Industry in China. 2021 IEEE 5th Conference on Energy Internet and Energy System Integration (EI2). IEEE, 2021: 4392-4397.

[2] Kaiyuan Yu, Zhao Ding. Cross-Product Manipulation Model Considering Financial Transmission Rights and Virtual Bidding in Electricity Market. 2021 IEEE/IAS Industrial and Commercial Power System Asia (I&CPS Asia). IEEE, 2021: 1-6.

[3] Xianchao Huang, Min Tian, Wenrui Tan, Zhao Ding*. Integrated Charging Facility and Fleet Planning for Shared Mobility-on-Demand System. 2021 IEEE/IAS Industrial and Commercial Power System Asia (I&CPS Asia). IEEE, 2021: 277-283.

[4] Jun Shu, Shanyu Chen, Zhao Ding*. Locational Price Driven Electric Bus Fleet Operation and Charging Demand Management. 2021 IEEE/IAS Industrial and Commercial Power System Asia (I&CPS Asia). IEEE, 2021: 409-413.

[5] Zhaohao Ding, Kaiyuan Yu, Jinran Guo, Cheng Wang, Fei Tang. Operational Security Assessment for Transmission System Adopting Dynamic Line Rating Mechanism. 2021 IEEE/IAS Industrial and Commercial Power System Asia (I&CPS Asia). IEEE, 2021: 176-181.

[6] Jinran Guo, Zhaohao Ding*, Kaiyuan Yu, Fei Tang. Optimal Electric Bus Fleet Charging Scheduling Considering Passenger Flow. 2021 IEEE/IAS Industrial and Commercial Power System Asia (I&CPS Asia). IEEE, 2021: 420-424.

[7] Jinran Guo, Zhaohao Ding*. EV Fleet Charging Management Method Considering the Uncertainty of Passenger Travel Choice. 2021 IEEE/IAS Industrial and Commercial Power System Asia (I&CPS Asia). IEEE, 2021: 313-317.

[8] Wenrui Tan, Zhaohao Ding. Integrated Operation Model for Shared Mobility-on-Demand System and Battery Swapping Station. 2020 IEEE/IAS Industrial and Commercial Power System Asia (I&CPS Asia). IEEE, 2020: 194-199.

[9] Xueliang Li, Donglei Sun, Wensheng Li, Si Yang, Jinran Guo, Zhaohao Ding, Data-Driven Mobility on Demand Fleets Charging Demand Modeling. 2020 IEEE/IAS Industrial and Commercial Power System Asia (I&CPS Asia). IEEE, 2020: 76-81.

[10] Shuli Wen, Tianyang Zhao, Yi Tang, Yan Xu, Sidun Fang, Miao Zhu, Zhaohao Ding. Joint Energy Management and Voyage Scheduling for All-Electric Ships Using Dynamic Real-Time Electricity Price of Onshore Power. 2020 IEEE/IAS 56th Industrial and Commercial Power Systems Technical Conference (I&CPS). IEEE, 2020: 1-8.

[11] Zhaohao Ding, Jinran Guo, Kexing Lai, Wei-Jen Lee. Spatial-Temporal Demand Management and Benefit Allocation for Geo-Distributed Charging Station and EV Aggregators. 2020 IEEE/IAS 56th Industrial and Commercial Power Systems Technical Conference (I&CPS), 29 June-28 July. 2020, Las Vegas, NV, USA, June. 2020.

[12] Yu Cheng, Jie Wang, Feng Zhu, Zhaohao Ding. Emission-Aware Microgrid Cluster Energy Management Scheme: A Distributed Trading Approach. 2019 IEEE Industry Applications Society Annual Meeting (IAS), 29 Sept.-3 Oct. 2019, Baltimore, MD, USA, USA.

[13] Feng Zhu, Ying Lu, Zhaohao Ding*. Batch Workloads Management for Data Centers Considering Nodes Efficiency. 2018 2nd IEEE Conference on Energy Internet and Energy System Integration (EI2), 20-22 Oct. 2018, Beijing, China, Oct. 2018.

[14] Peng Wang, Yujie Cao, Zhaohao Ding*. Resources Planning Strategies for Data Center Microgrid Considering Water Footprints. 2018 2nd IEEE Conference on Energy Internet and Energy System Integration (EI2), 20-22 Oct. 2018, Beijing, China, Oct. 2018.

[15] Yuping Wang, Yunqing Zhang, Ming Zhu, Fangping Gao, Ying Lu, Zhaohao Ding*. Day-ahead market model under uncertainty environment: A probabilistic constrained programming approach. 2018 2nd IEEE Conference on Energy Internet and Energy System Integration (EI2), 20-22 Oct. 2018, Beijing, China, Oct. 2018.

[16] Ying Lu, Shaoqun Song, Yongming Wang, Feng Chen, Zhaohao Ding*. Traffic-Aware Energy Management for EV Charging Aggregator Considering Spatial and Temporal Load Distribution. 2018 2nd IEEE Conference on Energy Internet and Energy System Integration (EI2), 20-22 Oct. 2018, Beijing, China, Oct. 2018.

[17] Yuanzheng Li, Tianyang Zhao*, Chang Liu, Kaicheng Li, Ping Wang, Zhaohao Ding. An interactive decision making model based on energy and reserve for electric vehicles and power grid using generalized Stackelberg game. 2018 IEEE/IAS 54th Industrial and Commercial Power Systems Technical Conference (I&CPS), 7-10 May 2018, Niagara Falls, ON, Canada, May 2018.

[18] Zhaohao Ding, Liye Xie, Ying Lu, Peng Wang, Shiwei Xia. Emission-aware stochastic resource planning scheme for data center microgrid considering batch workload scheduling and risk management. 2018 IEEE/IAS 54th Industrial and Commercial Power Systems Technical Conference (I&CPS), 7-10 May 2018, Niagara Falls, ON, Canada, May 2018.

[19] Zhaohao Ding, Ying Lu, Lizi Zhang, Wei-Jen Lee, Dayu Chen. A stochastic resource planning scheme for PHEV charging station considering energy portfolio optimization and price-responsive demand. 2018 IEEE/IAS 54th Industrial and Commercial Power Systems Technical Conference (I&CPS), 7-10 May 2018, Niagara Falls, ON, Canada, May 2018.

[20] Zhaohao Ding, Lizi Zhang, Wei-Jen Lee. Medium-term operation strategy for a grid-connected microgrid via minimax regret optimization. 2017 IEEE/IAS 53rd Industrial and Commercial Power Systems Technical Conference (I&CPS), 6-11 May 2017, Niagara Falls, ON, Canada, May 2017.

[21] Meng Yang, Lizi Zhang, Zhaohao Ding, Wei-Jen Lee. Optimal operation strategy of an industrial plant under deregulated electricity market. 2017 IEEE Industry Applications Society Annual Meeting, 1-5 Oct. 2017, Cincinnati, OH, USA, Oct. 2017.

[22] Peng Wang, Liye Xie, Ying Lu, Zhaohao Ding. Day-ahead emission-aware resource planning for data center considering energy storage and batch workloads. 1st IEEE Conference on Energy Internet and Energy System Integration, Beijing, China, 2017

[23] Zhaohao Ding, Piampoom Sarikprueck, Wei-Jen Lee. Medium-term operation for an industrial customer considering demand side management and risk management. 2015 IEEE/IAS 51st Industrial & Commercial Power Systems Technical Conference (I&CPS), 5-8 May 2015, Calgary, AB, Canada, May 2015.

[24] Zhaohao Ding, Wei-Jen Lee. A stochastic microgrid operation scheme to balance between system reliability and greenhouse gas emission. 2015 IEEE/IAS 51st Industrial & Commercial Power Systems Technical Conference (I&CPS), 5-8 May 2015, Calgary, AB, Canada, May 2015.

[25] Meng Liu, Zhaohao Ding, Franklin L. Quilumba, Wei-Jen Lee, David A. Wetz. Using a Microgrid test bed to evaluate the strategies for seamless renewable energy integration. 2014 IEEE/IAS 50th Industrial & Commercial Power Systems Technical Conference,20-23,May,2014, Fort Worth, TX, USA, May 2014.

[26] Zhaohao Ding, Piampoom Sarikprueck, Lyndon Lee, Wei-Jen Lee, Jie Shi, Heng Lu. Financial opportunities for LSE under scarcity price environment. 2014 North American Power Symposium (NAPS), 7-9, Sept. 2014. Pullman, WA, USA, Sept. 2014.

[27] Zhaohao Ding, Meng Liu, Wei-Jen Lee, David Wetz. An autonomous operation microgrid for rural electrification. 2013 IEEE Industry Applications Society Annual Meeting, 6-11, Lake Buena Vista, FL, United States, Oct. 2013.

[28] Yongliang Liang, Ke-Jun Li, Lin Niu, Jianguo Zhao, Wei-Jen Lee, Zhaohao Ding, Jingguo Ren, Hongxia Gao. An integrated three-level transformer condition assessment model based on optimal weights and uncertainty theory. 2013 IEEE Industry Applications Society Annual Meeting, 6-11, Lake Buena Vista, FL, United States, Oct. 2013.

[29] Zhaohao Ding, Wei-Jen Lee, David Wetz, Chin-Chu Tsai. Evaluating the use of a MicroGrid as a power solution for Africa's rural areas. 2012 IEEE Power and Energy Society General Meeting, 22 - 26 July 2012, San Diego, CA, United States, July, 2012.