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清华大学电机系

清华大学电机系本科生

清华大学电机系研究生

清华大学电机系校友会

清华大学能源互联网创新研究院

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Current Location: Home > faculties > Wang Peng

Peng Wang

Power system plannning and operation simulation, distributed optimization algorithm

Power system plannning and operation simulation, distributed optimization algorithm

Room III-205, West Main Building, Tsinghua University

wangpeng2020@mail.tsinghua.edu.cn

+86-10-62704361

  • Introduction
  • Publications & Patents

Work Experience


2023.03 - Now: Assistant Professor, Department of Electrical Engineering, Tsinghua University, China

2020.07 - 2023.03: Postdoc, Department of Electrical Engineering, Tsinghua University, China

2014.08 - 2020.07: Ph.D. Student, Department of Automation, Beijing Institute of Technology, China

2018.11 - 2019.11: Visiting Doctoral Student, ETH Zurich, Switzerland

2010.08 - 2014.07: Bachelor Student, Department of Automation, Beijing Institute of Technology, China


Biography


Peng Wang graduated with a Bachelor of Engineering in Automation from Beijing Institute of Technology (BIT) in July 2014, earning the title of Outstanding Graduate. He then completed his Ph.D. at BIT’s School of Automation in July 2020. From November 2018 to November 2019, he studied at ETH Zurich. Since July 2020, he has been a postdoctoral researcher at Tsinghua University’s Department of Electrical Engineering, and became an assistant researcher since March 2023.


His research focuses on power system planning and operation simulation, distributed optimization algorithms and their grid applications. He has published over 30 SCI/EI papers, applied for or obtained over 20 invention patents, secured 4 software copyrights, and achieved 7 technology transfers. He participated in one National Natural Science Foundation key project and over 20 research projects for State Grid, China Southern Power Grid, and other organizations. His work has been applied in provincial power companies and design institutes, winning two gold medals at the Geneva International Exhibition of Inventions, one State Grid Technology Progress First Prize, and one CSG and one SGRI Technology Progress Award each.


International Journal Papers

[1] Jiawei Zhang, Jiaxin Wang , Ning Zhang, Peng Wang, Yating Wang, Chen Fang. Droop Coefficient Placements for Grid-side Energy Storage Considering Nodal Frequency Constraints under Large Disturbances[J]. Applied Energy. Early Access, 2024.

[2] Yuchen Fang, Ershun Du, Haoyi Wang, Peng Wang, Yidan Chen, Ning Zhang. Dynamic frequency control strategy for the CSP plant in power systems with low inertia[J]. IET Renewable Power Generation, 2023, 17(12): 3063-3074.

[3] Haiyang Jiang, Ershun Du, Boyu He, Ning Zhang, Peng Wang, Fuqiang Li, Jie Ji. Analysis and Modeling of Seasonal Characteristics of Renewable Energy Generation, Renewable Energy, 2023, 219: 119414.

[4] Haiyang Jiang, Ershun Du, Ning Zhang, Zhenyu Zhuo, Peng Wang, Zhidong Wang, and Yan Zhang. Renewable electric energy system planning considering seasonal electricity imbalance risk, in IEEE Transactions on Power Systems, 2023, 38(6): 5432-5444.

[5] Peng Wang, Zhongjing Ma, Mingdi Shao et al. Data-driven Energy Management in Residential Areas Leveraging Demand Response[J], Energy and buildings, Energy and Buildings, 2022, 269: 112235.

[6] Peng Wang, Suli Zou, Jinhui Zhang and Zhongjing Ma. Robust Charging and Discharging Coordination of Electric Vehicles with State Dynamics Uncertainties[J], International Journal of Control, Automation, and Systems (IJCAS), 2022, 20(7): 2120-2128.

[7] Ning Zhang, Haiyang Jiang, Ershun Du, Zhenyu Zhuo, Peng Wang, Zhidong Wang, Yan Zhang. An Efficient Power System Planning Model Considering Year-round Hourly Operation Simulation[J]. IEEE Transactions on Power Systems, 2022, 37(6)：4925-4935.

[8] Peng Wang, Ershun Du, Ning Zhang, et al. Power system planning with high renewable energy penetration considering demand response[J]. Global Energy Interconnection, 2021, 4(1): 69-80.

[9] Jiawei Zhang, Peng Wang, Ning Zhang. Frequency Regulation From Distributed Energy Resource Using Cloud-Edge Collaborations Under Wireless Environments. IEEE Transactions on Smart Grid, 2021, 13(1): 367-380.

[10] Jiawei Zhang, Peng Wang, Ning Zhang. Distribution Network Admittance Matrix Estimation With Linear Regression. IEEE Transactions on Power Systems, 2021, 36(5): 4896-4899.

[11] Zou S, Ma Z, Wang P, et al. Stackelberg game-based decentralised supply chain coordination considering both futures and spot markets[J]. International Journal of Control, 2020, 93(12): 2804-2813.

[12] Xu Zhou, Suli Zou, Peng Wang, et al. ADMM-based coordination of electric vehicles in constrained distribution networks considering fast charging and degradation. IEEE Transactions on Intelligent Transportation Systems, 2020, 22(1): 565-578.

[13] Xu Zhou, Suli Zou, Peng Wang, et al. Voltage regulation in constrained distribution networks by coordinating electric vehicle charging based on hierarchical ADMM. IET Generation, Transmission & Distribution, 2020, 14(17): 3444-3457.

[14] Peng Wang, Suli Zou, Zhongjing Ma, Parallel Demand Side Auction Mechanism for Dynamic and Efficient Resource Allocation[J], IET Control Theory & Applications, 2019, 13(15): 2399-2406.

[15] Peng Wang, Suli Zou, Zhongjing Ma, A Partial Augmented Lagrangian Method for Decentralized Electric Vehicle Charging in Capacity-Constrained Distribution Networks, IEEE ACCESS, 2019, 7: 118229-118238.

[16] Peng Wang, Suli Zou, Xiaojuan Wang and Zhongjing Ma, A Stackelberg Game Approach for Price Response Coordination of Thermostatically Controlled Loads, Applied sciences, 2018, 8(8): 1370.


International Conference Papers


[1] Ge Y, Liu G, Wang P, et al. “Source-Network-Storage” Collaborative Planning with Dynamic Carbon Emission Factors[C]//2023 International Conference on Power System Technology (PowerCon). IEEE, 2023: 1-6.

[2] Hongyi Wei, Qihuan dong, Peng Wang, et al. Large-Scale EV Integrated Multi-energy System Optimal Dispatch and Carbon Flow Analysis[C]. 2022 12th International Conference on Power and Energy Systems (ICPES). IEEE, 2022: 543-548.

[3] Peng Wang, Ershun Du, Jingyi Zhang, et al. Improving the accommodation of renewable resources by distributed energy management in a grid-connected system considering multiple demand responses[C]. 2021 International Conference on Power System Technology. IEEE, 2021, pp: 176-181.

[4] Xiaoyan Hu, Yi Ge, Bingjie Li, Ziyang Zhang, Jiaxin Wang, Peng Wang, Ershun Du. Generation-network-storage Collaborative Planning of Jiangsu Power Grid Towards Carbon Neutrality [C]. 2021 International Conference on Power System Technology, 2021, pp. 313-319.

[5] Xu Zhou, Suli Zou, Peng Wang, et al. Optimal Energy Management in Combined Heat and Power System via A Decentralized Consensus-Based ADMM[C]. 21st IFAC World Congress, July 12, 2020 - July 17, 2020, pp: 4026-4031.  

[6] Peng Wang, Long Ran, Yunfeng Shao, et al. Charging and discharging control of plug-in electric vehicles with uncertainties via robust model predictive control method[C]. 2017 36th Chinese Control Conference (CCC). IEEE, 2017, pp. 2644-2650.