个人信息：
姓名：赵浩然，出生年月：1983年04月，职称：教授，Email: hzhao@sdu.edu.cn。
系所与团队：
电力系统研究所
学术身份：
赵浩然，现为国家特聘教授（2017年入选），博士生导师，齐鲁青年学者（2016年入选），国家科技重大专项首席科学家（2025.06起），山东大学电气工程学院副院长（2022.01起），沈阳理工大学校长助理（挂职，中组部选派服务东北，2025.03起）。2001-2014年分别于山东大学、柏林工业大学、丹麦科技大学获得学士、硕士和博士学位。获2014年国家优秀留学生奖学金。曾先后供职于国网山东电力公司、德国Younicos AG、德国DIgSILENT公司以及丹麦科技大学电力能源中心。2017年10月全职加盟山东大学电气工程学院。2019-2020兼任山东大学龙山校区（创新港）建设办公室副主任。
学术兼职方面，目前为山东省能源研究会副理事长、IEEE高级会员、中国电机工程学会高级会员、教育部高等教育教学评估专家。CIGRE工作组C6.C1.33（综合能源系统）工作组成员、CIGRE C4.56 （大规模电力电子接入的大电网电磁暂态仿真模型）工作组成员、IEC SC 8A工作组专家、电机工程学会配电网控制运行专委会委员、电机工程学会能源互联网专委会委员、电工技术学会人工智能与电气应用专委会委员、仿真学会综合能源数字孪生专委会委员、可再生能源学会综合能源专委会委员。入选全球前2%顶尖科学家年度影响力排行榜。
期刊兼职方面，目前担任IET Journal of Engineering期刊副主编、 IEEE Trans. Sustainable Energy、IEEE Power Engineering Letters、IET Renewable Power Generation、Journal of Modern Power Systems and Clean Energy期刊编委、电力保护与控制青年编委，受邀担任IEEE Trans. Energy Conversion、IEEE Journal of Emerging and Selected Topics in Power Electronics 期刊特刊编委，International Journal of Electrical Power & Energy Systems 期刊特刊主编。
长期从事新能源电力系统建模仿真、风电并网稳定性分析、综合能源低碳优化调度的研究工作，取得了一系列的原创性成果。获Applied Energy 2018年度最佳论文奖。多次在国际会议、研讨会上做特邀报告。主持和参与了国家重点研发计划课题、欧盟与北欧能源项目多项、电力系统软件产品开发和欧盟发明专利多项。获2025年中国仿真学会创新技术一等奖（大规模风电场气-弹-机-电多尺度混合建模与实时仿真关键技术及应用）、日内瓦发明展会金奖(基于电力大数据的新型风光发电功率预测系统)；获2022年中国仪器仪表学会技术发明三等奖(综合能源系统优化运行关键技术及应用)、日内瓦发明展会银奖2项(风电机组数字孪生、风电场数字孪生)；获2021年中国电力科学技术进步三等奖、广东电力科技进步一等奖；获山东大学2023年校级教学成果奖一等奖(面向国家“双碳”战略需求的电气工程创新人才培养体系探索与实践)；获山东省2023年度省重点教改项目资助（基于专业-课程贯通式知识图谱的新型电力系统复合人才培养体系建设）。
主要工作经历：
2005-2007 国家电网济南供电公司工程师
2009年间 德国Younicos AG 兼职工程师
2010-2011 德国DIgSILENT GmbH 项目工程师
2017-至今 山东大学电气工程学院 教授（2019-2020，兼任山东大学龙山校区建设办公室副主任）
2022-至今 山东大学电气工程学院 副院长
2025-至今 沈阳理工大学 校长助理（挂职，中组部选派服务东北）
研究方向：
新能源电力系统建模仿真、风电并网稳定性分析、综合能源低碳优化调度
学术著作：
[1] 赵浩然；王鹏，风力发电建模与并网稳定性分析，机械工业出版社，2024.11
[2] 赵浩然；李冰；许建中；秦世耀；江艺宝；王鹏，风电场精细化建模仿真技术，机械工业出版社，2025
[3] 赵浩然；刘春阳；江艺宝；王瑞琪，综合能源系统低碳智能调控技术，科学出版社，2025
[4] 赵浩然；王鹏；迟永宁，新能源电力系统建模与控制—基于DIgSILENT PowerFactory算例，中国电力出版社，2025
[5] 赵浩然；何东欣；贠志皓；李红伟；宫金林，基于知识图谱的电气工程人才培养探索，中国电力出版社，2025
[6] Y. Zhou, Y. Jiang, H. Zhao, "A Fitting-Based Modeling Method of TCLs for Power System Demand Response," The 10th International Conference on Power and Renewable Energy (ICPRE 2025), (in press).
[7] Y. Jiang, J. Wang, H. Zhao and V. Terzija, "Dynamic Interval State Estimation for Integrated Electricity and Heating Systems," in IEEE Transactions on Power Systems, doi: 10.1109/TPWRS.2025.3600251.
[8] B. Li, H. Zhao, Y. Jiang and C. Zhao, "Enhanced Co-Simulation of Wind Energy Conversion Systems: A Mechanically Equivalent Interfacing Method," in IEEE Transactions on Sustainable Energy, doi: 10.1109/TSTE.2025.3599154.
[9] J. Lv, T. Liu, P. Wang, et al., "Impedance Modeling of Permanent Magnet Synchronous Generator with Virtual Synchronous Generator Controlled Converters Based on Piecewise Affine Theory," The 14th International Conference on Renewable Power Generation (RPG 2025), (in press).
[10] Q. Xu, D. Ma, H. Zhao and Q. Sun, "An Online Anomaly Monitoring Method Based on Multiscale Spatiotemporal Graph Learning for Wind Turbine," in IEEE Transactions on Industrial Informatics, doi: 10.1109/TII.2025.3586066.
[11] 梁文兴, 荣繁华, 陈常念, 杨金文, 葛艺, 赵浩然, 等, "新型太阳能驱动的发电及制氢的综合能源系统设计与优化," 中国电机工程学报, pp. 1-12, 2025. [Online]. Available: https://doi.org/10.13334/j.0258-8013.pcsee.250618
[12] J. Luo, H. Zhao, P. Wang, et al., "Enhanced Low-Voltage Ride-Through Capability of DFIG by Explicit Model Predict Control Based Decoupled Virtual Impedance," IET Renewable Power Generation, (in press).
[13] J. Luo, P. Wang, H. Zhao, et al., "Online Identification of Stability Region for Large-Scale Wind Farms -- Part I Clustering Based Piecewise Affine Impedance Modeling," in International Journal of Electrical Power & Energy Systems, vol. 170, pp. 110790, 2025.
[14] J. Luo, P. Wang, H. Zhao, et al., "Online identification of stability region for large-scale wind farms, Part II: Construction of stability region boundary," in International Journal of Electrical Power & Energy Systems, vol. 169, pp. 110791, 2025.
[15] J. Wang, H. Zhao, P. Wang and Y. Gui, "Characterization of Impedance and Stability for Doubly-Fed Induction Generator Based on Voltage-Modulated Direct Power Control," in IEEE Transactions on Power Electronics, vol. 40, no. 10, pp. 15529-15544, Oct. 2025.
[16] J. Wang, H. Zhao and P. Wang, “Stability analysis of grid-connected inverter under full operating conditions based on small-signal stability region,” in Sustainable Energy, Grids and Networks, vol. 40, pp. 101515, 2024.
[17] Z. Lou, H. Zhao, B. Li, Y. Jiang, L. Meng and Z. Yu, "Fatigue-Reduction Active Power Allocation in Wind Farms Using Convex Reward Reinforcement Learning," 2025 9th International Conference on Green Energy and Applications (ICGEA), Singapore, Singapore, 2025, pp. 1-7.
[18] Q. Zheng et al., "Comprehensive Indicator Evaluation Method for Integrated Energy System," 2024 IEEE 8th Conference on Energy Internet and Energy System Integration (EI2), Shenyang, China, 2024, pp. 1560-1565.
[19] Z. Yu, Y. Jiang and H. Zhao, "An Active Wake Control Strategy for Tandem Wind Turbines Based on Multi-Attractor Particle Swarm Optimization Algorithm," 2024 IEEE 8th Conference on Energy Internet and Energy System Integration (EI2), Shenyang, China, 2024, pp. 874-880.
[20] P. Wang, T. Liu, H. Zhao, Y. Ma and C. Yuan, "Online Construction of Small-Signal Stability Region for Wind Farms With Reduced-Order Impedance Model and Two-Layer Optimization," in IEEE Transactions on Energy Conversion, doi: 10.1109/TEC.2025.3566511.
[21] J. Lv, P. Wang, C. Yuan and S. Wu, "Small-Signal Impedance Modeling and Nodal Admittance Matrix Stability Analysis for Virtual Synchronous Generator Controlled Grid-Forming Converters," 2025 2nd International Symposium on New Energy Technologies and Power Systems (NETPS), Hangzhou, China, 2025, pp. 132-140.
[22] 李冰, 赵浩然, 江艺宝, 等, "风电场全过程耦合精细化建模及其高效并行仿真算法," 电力系统自动化, pp. 1-13, 2025. [Online]. Available: https://link.cnki.net/urlid/32.1180.TP.20250625.1018.002
[23] 李冰, 赵浩然, 江艺宝, 等, "基于异构计算的大规模风电场精细化高效仿真技术," 电力系统自动化, pp. 1-14, 2025. [Online]. Available: https://link.cnki.net/urlid/32.1180.TP.20250610.2044.008
[24] 刘银桥, 赵浩然, 李筱濛, 等, "基于时-空二维幂级数嵌入的供热网络半解析建模仿真研究," 电工电能新技术, vol. 44, no. 07, pp. 81-89, 2025.
[25] J. Lv, P. Wang and H. Zhao, "Transient Stability Enhancement in AC-DC Networks Using Virtual Synchronous Machines," 2025 10th Asia Conference on Power and Electrical Engineering (ACPEE), Beijing, China, 2025, pp. 1721-1728.
[26] J. He et al., "Quantification of Wind Farm Stabilization Areas with the Grey Wolf Optimizer and Support Vector Machine," 2025 10th Asia Conference on Power and Electrical Engineering (ACPEE), Beijing, China, 2025, pp. 1168-1174.
[27] B. Li, H. Zhao, Y. Zhou, Y. Liu and Y. Du, "An LSTM wind power prediction model based on PCA dimensionality reduction and wavelet decomposition," 2025 5th International Conference on Advances in Electrical, Electronics and Computing Technology (EECT), Guangzhou, China, 2025, pp. 1-7.
[28] M. Wang, H. Zhao, C. Liu, D. Ma, Y. Jiang, and F. Yang, "Refined Multi-Time Scale Optimal Scheduling of Dynamic Integrated Energy System Based on Superposition of Energy Flow Response," in Applied Energy, vol. 380, pp. 125071, 2025.
[29] M. Wang, H. Zhao, C. Liu, D. Ma, F. Yang and R. Wang, "Dynamic Optimal Energy Dispatch Method for Integrated Energy System based on Superposition of Energy Flow Response," in IEEE Transactions on Power Systems.
[30] C. Ding, H. Zhao, P. Wang, J. Lv, J. Liu, J. Qin, and J. Yang, "Research on Prediction of Mechanical Vibration Trends of Hydroelectric Units Based on Improved Deep Belief Network," 2024 6th International Conference on Electrical Engineering and Control Technologies (CEECT), Shenzhen, China, 2024, pp. 93-98.
[31] J. Wang, P. Wang, H. Zhao and F. Yang, "Comprehensive Impedance Analysis of DFIG-Based Wind Farms Considering Dynamic Couplings," in IEEE Transactions on Power Electronics, vol. 40, no. 1, pp. 2259-2272, Jan. 2025.
[32] H. Li, Z. Li, H. Zhao, and K. Liu, "An Optimization Scheduling Method for Integrated Energy Microgrid Based on Heavy-Ball Acceleration Distributed Optimization," 2024 IEEE International Conference on Energy Internet (ICEI), Zhuhai, China, 2024, pp. 460-465.
[33] J. Yu, H. Zhao, Y. Jiang, B. Li, L. Meng, and F. Yang, "Efficient Electromagnetic Transient Simulation for DFIG-Based Wind Farms Using Fine-Grained Network Partitioning," in International Journal of Electrical Power and Energy Systems, vol. 162, pp. 110297, 2024.
[34] X. Hu, J. Ma, H. Zhao and D. Ma, "A Weak Leak Location Method Based on Signal Attenuation Mechanism for Energy Transportation System," in Energy, vol. 2024, pp. 132786.
[35] 詹兆康, 胡旭光, 赵浩然, 等, "基于多变量时空融合网络的风机数据缺失值插补研究," 自动化学报, vol. 50, no. 06, pp. 1171-1184, 2024. DOI:10.16383/j.aas.c230534
[36] Y. Qu, J. He, W. Miao, H. Zhao, Y. Jiang, Y. Cheng, and G. Zhou, "Analysis and Assessment of Frequency Regulation Characteristics of Joint Wind-Storage System Based on Predicted Wind Speed and Load," 2024 IEEE 2nd International Conference on Control, Electronics and Computer Technology (ICCECT), Jilin, China, 2024, pp. 266-272.
[37] C. Zhao, W. Miao, H. Zhao, J. He, Y. Cheng, G. Zhou, and Y. Jiang, "Real-Time Electromagnetic and Electromechanical Hybrid Simulation Based on RTLAB-PowerFactory," 2024 IEEE 2nd International Conference on Control, Electronics and Computer Technology (ICCECT), Jilin, China, 2024, pp. 261-265.
[38] 赵浩然, 孟铃涵, 江艺宝, 等, "面向新型电力系统的实时仿真平台综述与展望," 高电压技术, pp. 1-16, 2024. [Online]. Available: https://doi.org/10.13336/j.1003-6520.hve.20231802
[39] 江艺宝, 于佳乐, 赵浩然, 等, "新型电力系统电磁暂态并行仿真关键技术及展望," 高电压技术, vol. 50, no. 07, pp. 3145-3160, 2024. DOI:10.13336/j.1003-6520.hve.20231798
[40] H. Tian, H. Zhao, S. Xin, H. Li, R. Wang and S. Liu, "A Mechanism-Based Data-Driven Interval Energy Flow Calculation Method for Integrated Energy Systems via Affine Arithmetic-Based Optimization," in IEEE Transactions on Sustainable Energy, vol. 15, no. 3, pp. 1562-1575, July 2024.
[41] Y. Du, H. Zhao, X. Huang, et al., "Integrated Energy System Dynamic Simulation Toolbox Based on Refined Modeling Method," 2023 IEEE 7th Conference on Energy Internet and Energy System Integration (EI2), Hangzhou, China, 2023, pp. 994-999.
[42] Y. Liu, H. Zhao, H. Li, et al., "A Multi-Step Real-Time Simulation Method for Integrated Energy System Based on Multi-Platform Combination," 2023 IEEE 7th Conference on Energy Internet and Energy System Integration (EI2), IEEE, 2023, pp. 988-993.
[43] Y. Liu, J. Guo, P. Wang, et al., "Research and Development of BPA-DIgSILENT Power Grid Model Conversion Software," 2023 8th International Conference on Power and Renewable Energy (ICPRE), IEEE, 2023, pp. 684-688.
[44] 赵长旺, 赵浩然, 江艺宝, "基于CPU-FPGA的风电机组实时仿真器的开发（英文）," in 第三十五届中国仿真大会论文集, 2023. DOI:10.26914/c.cnkihy.2023.077842
[45] Y. Yu, L. Wang, P. Wang, H. Zhao, et al., "Parameter Identification of Frequency Control Model for Wind Farm Field Based on Forgetting Factor Least Squares," 2023 13th International Conference on Power and Energy Systems (ICPES), IEEE, 2023, pp. 300-306.
[46] Y. Liu, J. Guo, P. Wang, H. Zhao, et al., "Research and Development of BPA-DIgSILENT Power Grid Model Conversion Software," 2023 8th International Conference on Power and Renewable Energy (ICPRE), IEEE, 2023, pp. 684-688.
[47] X. Qi, J. Chen, H. Zhao, et al., "Post-Disaster Distribution System Restoration Considering UAV-Based Communication Recovery Based on Multi-Agent Reinforcement Learning," IECON 2023-49th Annual Conference of the IEEE Industrial Electronics Society, IEEE, 2023, pp. 1-6.
[48] P. Wang, Y. Ma, H. Zhao, "Online Assessment of Multi-Parameter Stability Region and Stability Margin of Wind Power Plants," in International Journal of Electrical Power & Energy Systems, vol. 155, pp. 109413, 2024.
[49] B. Li, H. Zhao, Y. Jiang, et al., "Real-Time Simulation for Detailed Wind Turbine Model Based on Heterogeneous Computing," in International Journal of Electrical Power & Energy Systems, vol. 155, pp. 109486, 2024.
[50] 王梦雪, 赵浩然, 刘春阳, 马后震, "基于叠加原理的综合能源系统动态潮流追踪及碳熵分析," 电力系统自动化, pp. 1-18, [2023-11-26].http://kns.cnki.net/kcms/detail/32.1180.TP.20230328.0903.002.html
[51] M. Wang, H. Zhao, C. Liu, et al., "Analytical Dynamic Energy-Carbon Flow Model and Application in Cost Allocation for Integrated Energy Systems," in IEEE Transactions on Smart Grid, 2023.
[52] 马悦鑫, 王鹏, 赵浩然, 贺敬, 等, "基于分段仿射阻抗模型的电压源变流器小扰动稳定域在线构造," 中国电机工程学报, 2023.
[53] X. Huang, H. Tian, H. Zhao, et al., "Digital twins of multiple energy networks based on real-time simulation using holomorphic embedding method, Part I: Mechanism-driven modeling," in International Journal of Electrical Power & Energy Systems, vol. 154, pp. 109419, 2023.
[54] H. Ma, C. Liu*, H. Zhao, et al., "A novel analytical unified energy flow calculation method for integrated energy systems based on holomorphic embedding," in Applied Energy, vol. 344, pp. 121163, 2023.
[55] H. Tian, H. Zhao*, H. Li, et al., "Digital twins of multiple energy networks based on real-time simulation using holomorphic embedding method, Part II: Data-driven simulation," in International Journal of Electrical Power & Energy Systems, vol. 153, pp. 109325, 2023.
[56] Y. Liu, J. He, P. Wang, H. Zhao, "Particle Swarm Optimization for PSS Parameters and Application to DIgSILENT PowerFactory," 2023 6th International Conference on Energy, Electrical and Power Engineering (CEEPE), IEEE, 2023, pp. 766-770.
[57] W. Hu, A. Anvari-Moghaddam, L. Xiong, H. Zhao, et al., "Planning and operation of hybrid renewable energy systems, Volume II," in Frontiers in Energy Research, vol. 11, pp. 1212394, 2023.
[58] Y. Liu, J. He, P. Wang, H. Zhao, "Particle Swarm Optimization for PSS Parameters and Application to DIgSILENT PowerFactory," 2023 6th International Conference on Energy, Electrical and Power Engineering (CEEPE), IEEE, 2023, pp. 766-770.
[59] H. Tian, H. Zhao*, H. Li, et al., "Interval-probabilistic Electricity-heat-gas Flow Calculation by Dual-level Surrogate Structure," in IEEE Transactions on Smart Grid, 2023.
[60] H. Liu, C. Liu, H. Zhao, et al., "Non-intrusive Load Monitoring Method for Multi-Energy Coupling Appliances Considering Spatio-Temporal Coupling," in IEEE Transactions on Smart Grid, 2023.
[61] X. Qian, H. Zhao, H. Li, et al., "IES Operation Toolbox: An Energy Flow Calculation and Optimization Toolbox for Integrated Energy System," 2022 First International Conference on Cyber-Energy Systems and Intelligent Energy (ICCSIE), IEEE, 2023, pp. 1-6.
[62] H. Li, W. Lv, H. Zhao, et al., "A village integrated energy system operating in electricity market and hydrogen market," 2022 First International Conference on Cyber-Energy Systems and Intelligent Energy (ICCSIE), IEEE, 2023, pp. 1-6.
[63] S. Xin, H. Zhao, H. Li, et al., "Multiple Energy Flow Modeling of Integrated Energy System Based on Heterogeneous Learner Integration Strategy," 2022 First International Conference on Cyber-Energy Systems and Intelligent Energy (ICCSIE), IEEE, 2023, pp. 1-6.
[64] H. Ma, C. Liu, H. Zhao, et al., "Comparison of the Methods for Continuous-Time Power Flow Analysis in Power Systems," 2022 First International Conference on Cyber-Energy Systems and Intelligent Energy (ICCSIE), IEEE, 2023, pp. 1-5.
[65] J. Wang, H. Zhao, Y. Jiang, et al., "Interval Energy Flow Analysis for Integrated Heat and Electricity System Based on Affine Arithmetic," 2022 First International Conference on Cyber-Energy Systems and Intelligent Energy (ICCSIE), IEEE, 2023, pp. 1-5.
[66] Z. Cui, J. Chen, H. Zhao, "A Carbon Emission Reduction Method for Distribution Network with Data Centers," 2022 First International Conference on Cyber-Energy Systems and Intelligent Energy (ICCSIE), IEEE, 2023, pp. 1-4.
[67] Y. Zhang, J. Chen, H. Zhao, et al., "Coordinated voltage control of active distribution networks with photovoltaic and power to hydrogen," in IET Energy Systems Integration, 2023.
[68] 刘航, 刘春阳, 赵浩然, 等, "基于深度学习的公共楼宇电-气负荷非侵入式分解," 电网技术, vol. 47, no. 03, pp. 1188-1197, 2023. DOI:10.13335/j.1000-3673.pst.2022.1222
[69] 王梦雪, 赵浩然, 刘春阳, 等, "基于碳熵指标的电-热互联综合能源系统碳轨迹追踪方法," 电力系统自动化, vol. 47, no. 09, pp. 13-22, 2023.
[70] Z. Du, J. Chen, H. Zhao, et al., "Routing optimization method of cyber-energy system considering cross-space cascading fault handling process," in International Journal of Electrical Power & Energy Systems, vol. 144, pp. 108574, 2023.
[71] 王俊杰, 刘春阳, 陈常念, 赵浩然, 等, "基于熵指标的热能传输动态特性建模与仿真分析," 中国电机工程学报, vol. 43, no. 13, pp. 5066-5078, 2023. DOI:10.13334/j.0258-8013.pcsee.220452
[72] B. Li, H. Zhao, K. Zhang, "A heterogeneous accelerated simulation framework for wind field dynamic model," in IET Renewable Power Generation, vol. 17, no. 1, pp. 137-149, 2023.
[73] F. Bian, S. You, H. Zhao, et al., "Energy, exergy, economy analysis, and multi‐objective optimization of a novel integrated energy system by combining artificial neural network and whale optimization algorithm," in International Journal of Energy Research, vol. 46, no. 15, pp. 24179-24196, 2022.
[74] 卞飞宇, 陈常念, 赵浩然, 等, "太阳能驱动的氢-冷-热-电综合能源系统性能分析," 供用电, vol. 39, no. 01, pp. 17-23, 2022. DOI:10.19421/j.cnki.1006-6357.2022.01.003
[75] Y. Ma, T. Zheng, J. He, F. Miao, P. Wang and H. Zhao, "Plant Control Parameter Identification of Renewable Energy Station Based on Improved Least Square Method," 2022 IEEE 6th Conference on Energy Internet and Energy System Integration (EI2), Chengdu, China, 2022, pp. 631-636.
[76] Z. Cui, J. Chen, C. Liu, H. Zhao, "Time-domain continuous power flow calculation of electricity--gas integrated energy system considering the dynamic process of gas network," in Energy Reports, vol. 8, pp. 597-605, 2022.
[77] 王金龙, 赵浩然, 王鹏, 等, "基于阻抗法的并网逆变器小信号稳定功率极限分析与提高," 电力系统保护与控制, vol. 50, no. 18, pp. 18-28, 2022. DOI:10.19783/j.cnki.pspc.211570
[78] X. Sun, J. Chen, H. Zhao, W. Zhang and Y. Zhang, "Sequential Disaster Recovery Strategy for Resilient Distribution Network Based on Cyber--Physical Collaborative Optimization," in IEEE Transactions on Smart Grid, vol. 14, no. 2, pp. 1173-1187, March 2023.
[79] C. Chen, J. Wang, H. Zhao, et al., "Entropy Flow Analysis of Thermal Transmission Process in Integrated Energy System Part I: Theoretical Approach Study," in Processes, vol. 10, no. 9, pp. 1717, 2022.
[80] C. Chen, J. Wang, H. Zhao, et al., "Entropy Flow Analysis of Thermal Transmission Process in Integrated Energy System Part II: Comparative Case Study," in Processes, vol. 10, no. 9, pp. 1719, 2022.
[81] C. Chen, H. Zhao, C. Liu, et al., "Transient Heat Transfer Characteristics in a Flat Plate Heat Sink with Mini-Channels for Cooling High Heat Flux IGBT," in Micromachines, vol. 13, no. 9, pp. 1417, 2022.
[82] 程建东, 赵浩然, 韩明哲, "市场机制下推动风电参与电力市场的实践总结与启示," 电网技术, vol. 46, no. 07, pp. 2619-2631, 2022. DOI:10.13335/j.1000-3673.pst.2021.2224
[83] F. Li, J. Zhu, L. Yu, S. Bu, H. Zhao, et al., "An Imbalance-Status-Enabled Autonomous Global Power-Sharing Scheme for Solid-State Transformer Interconnected Hybrid AC/DC Microgrids," in IEEE Transactions on Smart Grid, vol. 14, no. 3, pp. 1750-1762, 2022.
[84] J. He, L. Meng, H. Zhao and B. Li, "Development of GPU-Based Efficient Simulation Module of Wind Farm," 2022 7th International Conference on Power and Renewable Energy (ICPRE), Shanghai, China, 2022, pp. 849-855.
[85] M. Wang, H. Zhao, H. Tian, et al., "Distributed Collaborative Optimization of a Multi-Region Integrated Energy System Based on Edge Computing Unit," Frontiers in Energy Research, vol. 10, pp. 846006, 2022.
[86] W. Hu, A. Anvari-Moghaddam, H. Zhao, et al., "Planning and Operation of Hybrid Renewable Energy Systems," in Frontiers in Energy Research, vol. 10, pp. 945794, 2022.
[87] 马钊, 张恒旭, 赵浩然, 等, "双碳目标下配用电系统的新使命和新挑战," 中国电机工程学报, vol. 42, no. 19, pp. 6931-6945, 2022. DOI:10.13334/j.0258-8013.pcsee.213091
[88] 刘俊伟, 刘春阳, 赵浩然, 等, "基于知识引导深度神经网络的电-热综合能源系统状态估计," 电网技术, vol. 46, no. 11, pp. 4288-4300, 2022. DOI:10.13335/j.1000-3673.pst.2022.0225
[89] H. Tian, H. Zhao, C. Liu, et al., "Iterative linearization approach for optimal scheduling of multi-regional integrated energy system," in Frontiers in Energy Research, vol. 10, pp. 208, 2022.
[90] H. Tian, H. Zhao, C. Liu, et al., "A dual-driven linear modeling approach for multiple energy flow calculation in electricity--heat system," in Applied Energy, vol. 314, pp. 118872, 2022.
[91] Y. Ma, H. Zhao, P. Wang, J. Luo, W. Zheng and J. Wang, "Parameter Identification and Stability Analysis of DFIG," 2022 International Conference on Power Energy Systems and Applications (ICoPESA), Singapore, Singapore, 2022, pp. 390-395.
[92] H. Liu, C. Liu, L. Tian, H. Zhao and J. Liu, "Non-intrusive Load Disaggregation Based on Deep Learning and Multi-feature Fusion," 2021 3rd International Conference on Smart Power & Internet Energy Systems (SPIES), Shanghai, China, 2021, pp. 210-215.
[93] M. Han, H. Zhao, J. Cheng, L. Niu and W. Zheng, "Real Time Equivalent Modeling Method for Wind Farms Based on Wind Speed Forecast," The 10th Renewable Power Generation Conference (RPG 2021), Online Conference, 2021, pp. 1193-1202.
[94] J. Wang, H. Zhao, S. Gao, J. Luo and Q. Ma, "Analysis of Power Transmission Limit of Grid-Connected Inverters Based on the Impedance Method," The 10th Renewable Power Generation Conference (RPG 2021), Online Conference, 2021, pp. 510-514.
[95] L. Wang, H. Zhao and B. Li, "The design and implementation of graphic user interface for real-time wind farm simulation platform," The 10th Renewable Power Generation Conference (RPG 2021), Online Conference, 2021, pp. 445-450.
[96] S. Gao, H. Zhao, P. Wang, Y. Gui, V. Terzija and F. Blaabjerg, "Comparative Study of Symmetrical Controlled Grid-Connected Inverters," in IEEE Transactions on Power Electronics, vol. 37, no. 4, pp. 3954-3968, April 2022.
[97] X. Huang, H. Zhao, J. Wang, S. Xin, H. Tian and M. Wang, "Fine Modeling in Thermal System of Integrated Energy System," 2021 IEEE 5th Conference on Energy Internet and Energy System Integration (EI2), Taiyuan, China, 2021, pp. 1738-1743.
[98] X. Qian, H. Zhao, X. Sun, H. Tian, S. Xin and M. Wang, "Optimization Toolbox For Multi-Regional Integrated Energy System," 2021 IEEE 5th Conference on Energy Internet and Energy System Integration (EI2), Taiyuan, China, 2021, pp. 1744-1749.
[99] J. Wang, H. Zhao, C. Chen and S. Gao, "Modeling of Electric - thermal Multi - energy System and Coupling Method under Different Time Scales," 2021 IEEE 5th Conference on Energy Internet and Energy System Integration (EI2), Taiyuan, China, 2021, pp. 4099-4104.
[100] J. Liu, C. Liu, H. Zhao, H. Liu and S. Xin, "State Estimation of Integrated Energy System Based on Deep Neural Network," 2021 6th International Conference on Power and Renewable Energy (ICPRE), Shanghai, China, 2021, pp. 803-807.
[101] S. Xin, H. Zhao, H. Tian, M. Wang, J. Liu and X. Huang, "Real-time Simulation and Control of Refined Dynamic Model of Integrated Energy System," 2021 6th International Conference on Power and Renewable Energy (ICPRE), Shanghai, China, 2021, pp. 819-823.
[102] J. Wang, H. Zhao, S. Gao and B. Li, "A Review on Impedance Modeling of Grid-Connected Renewable Energy Generation System," 2021 IEEE/IAS Industrial and Commercial Power System Asia (I&CPS Asia), Chengdu, China, 2021, pp. 1290-1295.
[103] 罗嘉, 赵浩然, 高术宁, 等, "基于显式模型预测控制和改进虚拟阻抗的双馈风机低电压穿越策略," 电网技术, vol. 45, no. 05, pp. 1716-1723, 2021. DOI:10.13335/j.1000-3673.pst.2020.2085
[104] J. Liu, H. Zhao, C. Liu, Y. Qin and Z. Ma, "State Estimation of Combined Heat and Power Systems Considering Thermal Dynamics and Different Time-Scale Measurements," 2021 6th Asia Conference on Power and Electrical Engineering (ACPEE), Chongqing, China, 2021, pp. 34-40.
[105] H. Zhao, Z. Lin, Q. Wu, et al., "Model predictive control based coordinated control of multi-terminal HVDC for enhanced frequency oscillation damping," in International Journal of Electrical Power & Energy Systems, vol. 123, pp. 106328, 2022.
[106] C. Kim, Y. Gui, H. Zhao, et al., "Coordinated LVRT control for a permanent magnet synchronous generator wind turbine with energy storage system," in Applied Sciences, vol. 10, no. 9, pp. 3085, 2020.
[107] Z. Wang, H. Zhao, B. Li and S. Gao, "Implementation of Vector Oriented Control of DFIG based on FPGA," 2020 3rd International Conference on Power and Energy Applications (ICPEA), Busan, Korea (South), 2020, pp. 136-140.
[108] S. Gao, H. Zhao, Y. Gui, D. Zhou, V. Terzija and F. Blaabjerg, "A Novel Direct Power Control for DFIG With Parallel Compensator Under Unbalanced Grid Condition," in IEEE Transactions on Industrial Electronics, vol. 68, no. 10, pp. 9607-9618, Oct. 2021.
[109] S. Gao, H. Zhao, Y. Gui, J. Luo and F. Blaabjerg, "Impedance Analysis of Voltage Source Converter Using Direct Power Control," in IEEE Transactions on Energy Conversion, vol. 36, no. 2, pp. 831-840, June 2021.
[110] 陈健, 林咨良, 赵浩然, 等, "考虑信息耦合的电--气综合能源系统韧性优化方法," 中国电机工程学报, vol. 40, no. 21, pp. 6854-6864, 2020. DOI:10.13334/j.0258-8013.pcsee.200440
[111] S. Gao, H. Zhao, Y. Gui, D. Zhou and F. Blaabjerg, "An Improved Direct Power Control for Doubly Fed Induction Generator," in IEEE Transactions on Power Electronics, vol. 36, no. 4, pp. 4672-4685, April 2021.
[112] 王梦雪, 赵浩然, 田航, 等, "典型综合能源系统仿真与规划平台综述," 电网技术, vol. 44, no. 12, pp. 4702-4712, 2020. DOI:10.13335/j.1000-3673.pst.2020.0078a
[113] J. Diao, H. Zhao, B. Li and L. Niu, "Refined Modeling and Real-Time Simulation of DFIG Based Wind Farm," 2020 IEEE/IAS Industrial and Commercial Power System Asia (I&CPS Asia), Weihai, China, 2020, pp. 1416-120.
[114] C. Tian, H. Zhao, J. Diao and B. Li, "Electromagnetic and Electromechanical Hybrid Simulation Based on Mosaik Framework," 2020 IEEE/IAS Industrial and Commercial Power System Asia (I&CPS Asia), Weihai, China, 2020, pp. 887-891.
[115] J. Luo, H. Zhao, S. Gao, et al., "A low voltage ride through strategy of DFIG based on explicit model predictive control," in International Journal of Electrical Power & Energy Systems, vol. 119, pp. 105783, 2020.
[116] B. Li, H. Zhao, S. Gao, et al., "Digital real-time co-simulation platform of refined wind energy conversion system," in International Journal of Electrical Power & Energy Systems, vol. 117, pp. 105676, 2020.
[117] B. Li, H. Zhao, J. Diao, et al., "Design of real-time co-simulation platform for wind energy conversion system," in Energy Reports, vol. 6, pp. 403-409, 2020.
[118] S. Gao, H. Zhao and Y. Gui, "Dual Grid Voltage Modulated Direct Power Control of Grid-Connected Voltage Source Converter Under Unbalanced Network Condition," 2019 IEEE Innovative Smart Grid Technologies - Asia (ISGT Asia), Chengdu, China, 2019, pp. 2167-2172.
[119] X. Lu, H. Zhao, J. Luo, Q. Ma and L. Niu, "A Comprehensive Review on MPC: Applications on Wind Turbines and FPGA Implementations," 2019 IEEE PES Asia-Pacific Power and Energy Engineering Conference (APPEEC), Macao, China, 2019, pp. 1-5.
[120] X. Hou, H. Zhao, S. Gao and L. Niu, "Small-Signal Stability Analysis of Wind Farm Integrated into Large-Scale Power Grid," 2019 IEEE PES Asia-Pacific Power and Energy Engineering Conference (APPEEC), Macao, China, 2019, pp. 1-5.
[121] M. Han, H. Zhao, Z. Lv and L. Niu, "Distributed Optimal Active Power Control of a Wind Farm based on Fast ADMM," 2019 IEEE PES Asia-Pacific Power and Energy Engineering Conference (APPEEC), Macao, China, 2019, pp. 1-5.
[122] S. Gao, H. Zhao, Y. Gui, Z. Zhang and Q. Wu, "A Voltage Modulated Direct Power Control of the Doubly Fed Induction Generator," 2019 IEEE Power & Energy Society General Meeting (PESGM), Atlanta, GA, USA, 2019, pp. 1-5.
[123] J. Luo, H. Zhao, X. Lu, S. Gao, Q. Ma and V. Terzija, "A Review of Low Voltage Ride Through in DFIG under Unbalanced Grid Faults," 2019 IEEE PES GTD Grand International Conference and Exposition Asia (GTD Asia), Bangkok, Thailand, 2019, pp. 718-723.
[124] P. Wang, F. Gao, Y. Jing, Q. Hao, K. Li and H. Zhao, "An Integrated Gate Driver with Active Delay Control Method for Series Connected SiC MOSFETs," 2018 IEEE 19th Workshop on Control and Modeling for Power Electronics (COMPEL), Padua, Italy, 2018, pp. 1-6.
[125] Y. Guo, H. Gao, Q. Wu, H. Zhao, et al., "Coordinated voltage control scheme for VSC‐HVDC connected wind power plants," in IET Renewable Power Generation, vol. 12, no. 2, pp. 198-206, 2018.
[126] C. Wang, Q. Zhou, M. Han, Z. Lv, X. Hou, H. Zhao, et al., "Review of Recent Development of Dynamic Wind Farm Equivalent Models Based on Big Data Mining," in IOP Conference Series: Earth and Environmental Science, vol. 133, no. 1, pp. 012016, 2018. (IOP Publishing)
[127] C. Wang, Q. Zhou, S. Gao, J. Luo, J. Diao, H. Zhao, et al., "A review of recent studies on the mechanisms and analysis methods of sub-synchronous oscillation in wind farms," in IOP Conference Series: Earth and Environmental Science, vol. 133, no. 1, pp. 012014, 2018. (IOP Publishing)
[128] Y. Guo, H. Gao, Q. Wu, H. Zhao, et al., "Enhanced voltage control of VSC-HVDC-connected offshore wind farms based on model predictive control," in IEEE Transactions on Sustainable Energy, vol. 9, no. 1, pp. 474-487, 2017.
[129] S. Huang, Q. Wu, H. Zhao and C. Li, "Distributed Optimization-Based Dynamic Tariff for Congestion Management in Distribution Networks," in IEEE Transactions on Smart Grid, vol. 10, no. 1, pp. 184-192, Jan. 2019.
[130] H. Zhao, Q. Wu, J. Wang, Z. Liu, M. Shahidehpour and Y. Xue, "Combined Active and Reactive Power Control of Wind Farms Based on Model Predictive Control," in IEEE Transactions on Energy Conversion, vol. 32, no. 3, pp. 1177-1187, Sept. 2017.
[131] H. Zhao, Q. Wu, S. Huang, M. Shahidehpour, Q. Guo and H. Sun, "Fatigue Load Sensitivity-Based Optimal Active Power Dispatch For Wind Farms," in IEEE Transactions on Sustainable Energy, vol. 8, no. 3, pp. 1247-1259, July 2017.
[132] Z. Liu, Q. Wu, S. Huang and H. Zhao, "Transactive energy: A review of state of the art and implementation," 2017 IEEE Manchester PowerTech, Manchester, UK, 2017, pp. 1-6.
[133] H. Zhao, Q. Wu, S. Huang, H. Zhang, Y. Liu and Y. Xue, "Hierarchical Control of Thermostatically Controlled Loads for Primary Frequency Support," in IEEE Transactions on Smart Grid, vol. 9, no. 4, pp. 2986-2998, July 2018.
[134] S. Huang, Q. Wu, L. Cheng, Z. Liu and H. Zhao, "Uncertainty Management of Dynamic Tariff Method for Congestion Management in Distribution Networks," in IEEE Transactions on Power Systems, vol. 31, no. 6, pp. 4340-4347, Nov. 2016.
[135] A. Korompili, Q. Wu, H. Zhao, "Review of VSC HVDC connection for offshore wind power integration," in Renewable and Sustainable Energy Reviews, vol. 59, pp. 1405-1414, 2016.
[136] S. Huang, Q. Wu, H. Zhao, et al., "Geometry of power flows and convex-relaxed power flows in distribution networks with high penetration of renewables," in Energy Procedia, vol. 100, pp. 1-7, 2016.
[137] H. Zhao, Q. Wu, Q. Guo, H. Sun, S. Huang and Y. Xue, "Coordinated Voltage Control of a Wind Farm Based on Model Predictive Control," in IEEE Transactions on Sustainable Energy, vol. 7, no. 4, pp. 1440-1451, Oct. 2016.
[138] H. Zhao, Q. Wu, Q. Guo, et al., "Optimal active power control of a wind farm equipped with energy storage system based on distributed model predictive control," in IET Generation, Transmission & Distribution, vol. 10, no. 3, pp. 669-677, 2016.
[139] H. Zhao, Q. Wu, S. Huang and Z. Liu, "Study of demand as frequency controlled reserve in Nordic power system," 2016 IEEE PES Asia-Pacific Power and Energy Engineering Conference (APPEEC), Xi'an, 2016, pp. 1180-1184.
[140] Y. Hao, H. Zhao and Q. Wu, "Coordinated control of multi-terminal DC grid for wind power integration," 2016 IEEE PES Asia-Pacific Power and Energy Engineering Conference (APPEEC), Xi'an, 2016, pp. 702-706.
[141] Q. Wu, J. I. B. Solanas, H. Zhao and Ł. H. Kocewiak, "Wind power plant voltage control optimization with embedded application of wind turbines and STATCOM," 2016 Asian Conference on Energy, Power and Transportation Electrification (ACEPT), Singapore, 2016, pp. 1-5.
[142] S. Huang, Q. Wu, J. Wang and H. Zhao, "A Sufficient Condition on Convex Relaxation of AC Optimal Power Flow in Distribution Networks," in IEEE Transactions on Power Systems, vol. 32, no. 2, pp. 1359-1368, March 2017.
[143] S. Huang, Q. Wu, A. H. Nielsen, H. Zhao and Z. Liu, "Long term incentives for residential customers using dynamic tariff," 2015 IEEE PES Asia-Pacific Power and Energy Engineering Conference (APPEEC), Brisbane, QLD, Australia, 2015, pp. 1-5.
[144] H. Zhao, Q. Wu, S. Huang, Q. Guo, H. Sun and Y. Xue, "Optimal siting and sizing of Energy Storage System for power systems with large-scale wind power integration," 2015 IEEE Eindhoven PowerTech, Eindhoven, Netherlands, 2015, pp. 1-6.
[145] S. Huang, Q. Wu, Z. Liu and H. Zhao, "Sensitivity analysis of dynamic tariff method for congestion management in distribution networks," 2015 IEEE Power & Energy Society General Meeting, Denver, CO, 2015, pp. 1-6.
[146] H. Zhao, Q. Wu, Q. Guo, H. Sun and Y. Xue, "Distributed Model Predictive Control of a Wind Farm for Optimal Active Power ControlPart I: Clustering-Based Wind Turbine Model Linearization," in IEEE Transactions on Sustainable Energy, vol. 6, no. 3, pp. 831-839, July 2015.
[147] H. Zhao, Q. Wu, Q. Guo, H. Sun and Y. Xue, "Distributed Model Predictive Control of a Wind Farm for Optimal Active Power ControlPart II: Implementation With Clustering-Based Piece-Wise Affine Wind Turbine Model," in IEEE Transactions on Sustainable Energy, vol. 6, no. 3, pp. 840-849, July 2015.
[148] H. Zhao, Q. Wu, S. Hu, et al., "Review of energy storage system for wind power integration support," in Applied energy, vol. 137, pp. 545-553, 2015.
[149] H. Zhao, Q. Wu, I. Margaris, et al., "Implementation and validation of IEC generic type 1A wind turbine generator model," in International Transactions on Electrical Energy Systems, vol. 25, no. 9, pp. 1804-1813, 2015.
[150] H. Zhao, Q. Wu, C. Wang, L. Cheng and C. N. Rasmussen, "Fuzzy logic based coordinated control of battery energy storage system and dispatchable distributed generation for microgrid," in Journal of Modern Power Systems and Clean Energy, vol. 3, no. 3, pp. 422-428, September 2015.
[151] 黄伟煌, 王芸, 赵浩然, "一种新型的永磁直驱风力发电机组控制策略在微网中的应用," 太阳能学报, vol. 36, no. 01, pp. 61-69, 2015.
[152] H. Zhao, Q. Wu, C. N. Rasmussen and M. Blanke, "L1 Adaptive Speed Control of a Small Wind Energy Conversion System for Maximum Power Point Tracking," in IEEE Transactions on Energy Conversion, vol. 29, no. 3, pp. 576-584, Sept. 2014.
[153] S. T. Cha, Q. Wu, H. Zhao, et al., "Frequency control for island operation of Bornholm power system," in Energy Procedia, vol. 61, pp. 1389-1393, 2014.
[154] H. Zhao, Q. Wu, C. N. Rasmussen, Q. Guo and H. Sun, "Distributed model predictive control for active power control of wind farm," IEEE PES Innovative Smart Grid Technologies, Europe, Istanbul, Turkey, 2014, pp. 1-6.
[155] H. Zhao, Q. Wu, "Distributed Model Predictive Control for Wind Farm Application," in International Conference on Wind energy Grid-Adaptive Technologies (WeGAT), Jeju, Korea, 2014.
[156] H. Zhao, Q. Wu, I. Margaris, et al., "Implementation of IEC Generic Model of Type 1 Wind Turbine Generator in DIgSILENT PowerFactory," in Automation of Electric Power Systems, vol. 37, no. 8, pp. 26-33, 2013.
[157] H. Zhao, Q. Wu, P. E. S➢rensen, et al., "Implementation of draft IEC generic model of Type 1 wind turbine generator in PowerFactory and Simulink," in 12th international workshop on large-scale integration of wind power into power systems as well as on transmission networks for offshore wind power plants, 2013.
[158] S. T. Cha, H. Zhao*, Q. Wu, A. Saleem and J. ➢stergaard, "Coordinated control scheme of battery energy storage system (BESS) and distributed generations (DGs) for electric distribution grid operation," IECON 2012 - 38th Annual Conference on IEEE Industrial Electronics Society, Montreal, QC, Canada, 2012, pp. 4758-4764.
[159] S. T. Cha, H. Zhao*, Q. Wu, J. ➢stergaard, T. S. Nielsen and H. Madsen, "Evaluation of energy storage system to support Danish island of Bornholm power grid," 2012 10th International Power & Energy Conference (IPEC), Ho Chi Minh City, Vietnam, 2012, pp. 242-247.
[160] H. Zhao, S. T. Cha, C. N. Rasmussen, et al., "Cooperative Operation of Battery Energy Storage System and Dispatchable Distributed Generations in Microgrid System," in International Conference on Wind energy Grid-Adaptive Technologies, 2012.
[161] S. T. Cha, Q. Wu, H. Zhao, et al., "Implementation of IEC generic type 1 model using RTDS," 2012.
主要科研项目：
[1]海外高层次人才专项基金，主持。
[2]国家科技重大专项项目：省域电力系统碳排放溯源关键技术，主持。
[3]国家重点研发计划课题：信息能源耦合节点能量一致标度及其自适应持续进化建模，主持。
[4]国家重点研发计划课题：风光变流器灵活性提升的电路拓扑和多功能控制技术，参与。
[5]国家重点研发计划课题：电网故障下风电机组电压/频率暂态主动支撑技术研究，参与。
[6]国家自然科学基金重大项目课题：综合能源系统统一建模与精细化仿真，主持。
[7]国家自然科学基金青年基金项目：基于分布式模型预测控制的风电场有功控制系统的研究，主持。
[8]国家电网总部项目：大规模风电场并网实时稳定域的量化分析及优化策略研究，主持。
[9]国家电网总部项目：新能源电站的实测建模与模型参数优化技术研究，参与。
[10]国家电网总部项目：“新能源场站+共享储能”协同控制与综合评价关键技术研究，参与。
[11]国家电网总部项目：弱系统条件下构网型电力电子设备稳定分析与协同控制方法研究，参与。
[12]国家重点实验室开放基金项目：风电场精细化模型开发及实时在线仿真技术，主持。
[13]山东省科技型中小企业创新能力提升工程项目：云边协同的数字化新能源园区电网人工智能优化运行研究项目，主持。
[14]国家电网省/市公司项目：国网临沂供电公司2024年基于气象数据感知推理的分布式光伏出力预测技术研究，主持。
[15]国家电网省/市公司项目：海上风电机组功率硬件在环仿真与实证关键技术研究，主持。
[16]国家电网省/市公司项目：国网山东电科院2025年集中式新能源等值分群和准确度提升技术研究，主持。
[17]国家电网省/市公司项目：数据-机理双驱动的新能源数字孪生技术，主持。
[18]国家电网省/市公司项目：国网临沂供电公司2024年沂蒙技能领军人才创新课题提升项目，主持。
[19]国家电网科技项目：创新自筹-大规模风电场并网宽频震荡风险评估模块开发，主持。
[20]国家电网科技项目：混合直流数字物理混合仿真接口算法研究，主持。
[21]国家电网科技项目：2022年新疆半物理闭环仿真风电机组阻抗特性测试及评估服务项目，主持。
[22]国家电网科技项目：基于运行数据和阻抗降阶模型的大规模风电场并网稳定域构造方法研究，主持。
[23]国家电网科技项目：多类型换流器并网稳定裕度评价指标研究服务，主持。
[24]国家电网科技项目：综合能源智能运营管控平台服务，主持。
[25]国家电网科技项目：基于大型风电场实时仿真等值模型的电力系统动态仿真技术研究，主持。
[26]国家电网科技项目：基于DIgSILENT的MMC模型开发与交流系统分析研究，主持。
[27]国家电网科技项目：大规模风电场并网宽频震荡风险评估模块开发，主持。
[28]南方电网科技项目：MATLAB故障穿越模型技术服务采购，主持。
[29]南方电网科技项目：支持BPA数据转化的DIgSILENTPower Factory电网模型搭建，主持。
[30]南方电网科技项目：海上风电机组参数自动化识别代码开发服务，主持。
[31]南方电网科技项目：广东实验室开放课题-海上风电阻抗特性建模机理研究，主持。
[32]南方电网科技项目：面向大规模电力电子设备接入的高效离线暂态仿真技术研究技术开发，主持。
[33]南方电网科技项目：新能源场站仿真试验辅助技术服务框架采购，主持。
[34]南方电网科技项目：适用于大规模新能源直流送出系统电磁暂态快速仿真的异构架构仿真机开发，主持。
[35]其他企业科技项目：海上风电场精细化模型仿真与系统并网稳定性分析技术合作研究，主持。
[36]其他企业科技项目：1.25MW逆变器Digsilent建模测试，主持。
[37]其他企业科技项目：逆变器的PowerFactory建模，主持。
[38]其他企业科技项目：同步电机励磁器底层模型开发与验证，主持。
[39]其他企业科技项目：同步电机交流及直流励磁器底层模型开发与验证，主持。
[40]其他企业科技项目：VDE 4110 and VDE 4120 DIgSILENT_PowerFactory建模，主持。
[41]其他企业科技项目：ETC西班牙NTs建模，主持。
[42]其他企业科技项目：中国科协“双碳”目标下分布式可再生能源前沿技术与发展趋势青年科学家沙龙活动，主持。
[43]其他企业科技项目：新型电力系统建模仿真技术开发及应用服务，主持。
[44]其他企业科技项目：综合能源系统建模仿真软件开发及管控装备研发可行性研究，主持。
[45]其他企业科技项目：新能源送出系统构网型设备优化配置方法研究，主持。
[46]其他企业科技项目：山东省科普示范工程项目，主持。
[47]其他企业科技项目：风电场多物理场模型的建模设计和集成服务，主持。
奖励情况：
[1]获2025年度中国仿真学会创新技术一等奖1项（大规模风电场气-弹-机-电多尺度混合建模与实时仿真关键技术及应用）
[2]获2025年度日内瓦发明展会金奖1项（基于电力大数据的新型风光发电功率预测系统）
[3]获2022年度日内瓦发明展会银奖2项（风电机组数字孪生、风电场数字孪生）
[4]获2022年度中国仪器仪表学会技术发明三等奖1项(综合能源系统优化运行关键技术及应用)
[5]获2021年度中国电力科学技术进步三等奖1项、广东电力科技进步一等奖1项（火电厂储能辅助调频系统并网关键技术研究与规模化应用）
[6]获“兆易创新杯”第十八届中国研究生电子设计竞赛全国总决赛一等奖、最佳路演讲、最具投资价值奖、优秀指导教师奖（风电场精细化实时仿真平台）
[7]获“兆易创新杯”第十八届中国研究生电子设计竞赛华北分区赛团队二等奖（综合能源系统精细化建模仿真工具箱）
[8]获“兆易创新杯”第十七届中国研究生电子设计竞赛奖商业计划书专项赛初赛一等奖（PSASP至PowerFactory模型转换器的设计开发）
[9]获“兆易创新杯”第十七届中国研究生电子设计竞赛奖华为企业命题一等奖（基于子空间管理的超带宽室内定位系统）
[10]获第四届高校电气电子工程创新大赛全国赛二等奖、优秀指导教师奖、优秀组织奖（基于云-边-端协同的综合能源精细化仿真及管控平台）
[11]获第二届高校电气电子工程创新大赛全国赛二等奖、优秀指导教师奖（综合能源精细化建模仿真工具箱）
[12]获2025年“建行杯”山东省大学生创新大赛山东省银奖（“风数智控”系统--面向发电效率优化的风电场数字李生AI控制平台）
[13]获2024年“建行杯”山东省大学生创新大赛山东省金奖（风行智电-大规模风电场智慧控制引领者）
[14]获第九届山东省互联网+大学生创新创业大赛山东省银奖（减碳先“风”——大规模风电场高精度实时仿真系统先行者）
[15]获2024年第十届中国研究生智慧城市技术与创意设计大赛三等奖（数字乡村-分散式风储数字化管理系统）
[16]获2024年第十届中国研究生智慧城市技术与创意设计大赛三等奖（城市综合能源系统低碳建模管控平台）
[17]获“cleer杯”第一届中国研究生双碳“创新与创意大赛三等奖”（风电场精细化数字孪生实时仿真平台）
招生类型：
课题组长期面向相关研究方向招收学术型及专业型硕士研究生、博士研究生以及博士后研究人员。详细介绍请见课题组网站：http://www.zhaohan.top。欢迎有意者通过邮件附个人简历进行联系，成绩优异者将有机会赴丹麦或德国知名科研机构进行联合培养。
课题组立足能源低碳转型的国家战略需求，研究方向涵盖风电场并网控制与稳定性分析、综合能源系统建模与运行优化、能源数字孪生等前沿领域，致力于通过理论创新与工程实践应对新型电力系统发展中的重大挑战。课题组诚挚欢迎自我驱动力强、热爱科研的学生加入，并将为成员提供完善的软硬件科研平台、系统的学术指导、参与科创竞赛的机会以及具有竞争力的研究补助。新能源发电与数字能网课题组，期待你的加入！
