桑林卫

个人简介：

桑林卫，上岗副研究员、博士生导师，主要从事人工智能赋能的电力系统运行调度，从304永利集团官网入口取得电气工程的学士和硕士学位，从清华大学取得电气工程的博士学位，曾访问加州大学伯克利分校，曾担任阿里巴巴达摩院研究实习生。

近五年，累计发表(含在线刊出)SCI检索论文30余篇(第一/通讯作者发表IEEE Transactions汇刊论文12篇)，EI检索论文5篇。主持国家自然科学基金1项，全重实验室开放课题面上项目1项，参与国家重点研发计划3项，国家自然科学基金项目3项，中科院咨询项目1项，国家电网/南方电网公司科技项目10余项，申请发明专利30余件，参与制定IEEE标准1项，担任国际会议CEEPE程序主席。入选江苏省青年科技人才托举工程，获全国设备管理与技术创新成果特等奖，清华大学优秀博士学位论文，清华大学优秀博士毕业生，清华大学博士研究生国家奖学金，304永利集团官网入口优秀硕士毕业生、304永利集团官网入口硕士研究生国家奖学金，2025 IEEE PES Prize Paper Award和《中国电力》年度优秀论文奖等荣誉。

论著：

[J1]Linwei Sang, Yinliang Xu∗, Huan Long, Qinran Hu, and Hongbin Sun, “Electricity Price Prediction for Energy Storage System Arbitrage: A Decision-focused Approach,” IEEE Transactions on Smart Grid, 2022, 13(4): 2822-2832. (模型引导数据驱动下电价储能一体化决策模型)

[J2]Linwei Sang, Yinliang Xu∗, Huan Long, and Wenchuan Wu, “Safety-aware Semi-end to end Coordinated Decision Model for Voltage Regulation in Active Distribution Network,” IEEE Transactions on Smart Grid, 2023, 14(3): 1814-1826. (模型引导数据驱动下光伏配电网一体化决策模型)

[J3]Linwei Sang, Yinliang Xu∗, Zhongkai Yi, Lun Yang, Huan Long, and Hongbin Sun, “Conservative Sparse Neural Network Embedded Frequency Constrained Unit Commitment With Distributed Energy Resources,” IEEE Transactions on Sustainable Energy, 2023, 14(4): 2351-2363. (内嵌数据驱动频率约束的灵活性资源调度)

[J4]Linwei Sang, Yinliang Xu∗, and Hongbin Sun, “Encoding Carbon Emission Flow in Energy Management: A Compact Constraint Learning Approach,” IEEE Transactions on Sustainable Energy, 2024, 15(1): 123-135. (内嵌数据驱动碳流模型的能量管理模型)

[J5]桑林卫，许银亮∗，孙宏斌，吴文传，“融合机器学习-优化的配电网低碳运行方法”，中国电机工程学报，2024，1-11. (内嵌数据驱动灵活性资源的配电网低碳调度)

[J6]Linwei Sang, Yinliang Xu∗, and Hongbin Sun, “Ensemble Provably Robust Learn-to-optimize Approach for Security-Constrained Unit Commitment,” IEEE Transactions on Power Systems, 2023, 38(6): 5073-5087. (智能加速的机组组合快速解算方法)

[J7]Linwei Sang, Yinliang Xu∗, Wenchuan Wu, and Huan Long, “Online Voltage Regulation of Active Distribution Networks: A Deep Neural Encoding-Decoding Approach,” IEEE Transactions on Power Systems, 2024, 39(2): 4574-4586. (人工智能赋能的配电网在线调压)

[J8]Linwei Sang, Qinran Hu∗, Yinliang Xu, and Zaijun Wu, “Privacy-preserving Hybrid Cloud Framework for Real-time TCL-based Demand Response,” IEEE Transactions on Cloud Computing, 2023, 11(2): 1182-1193. (考虑用户隐私的暖通灵活性资源调度)

[J9]桑林卫，卫璇，许银亮∗，孙宏斌，“抽水蓄能助力风光稳定外送的最佳配置策略”,中国电力，2022, 55(12): 86-90+123.(考虑新能源的规划模型)

[J10] Huan Long,Linwei Sang, Zaijun Wu, and Wei Gu, “Image-Based Abnormal Data Detection and Cleaning Algorithm via Wind Power Curve,” IEEE Transactions on Sustainable Energy, 2020, 11(2): 938-946. (基于图像的风电数据异常数据检测和清洗算法)

[J11]Linwei Sang, Yinliang Xu, Hongbin Sun, Zaijun Wu, Qiuwei Wu, and Wenchuan Wu, ``Distribution Locational Marginal Emission for Carbon Alleviation in Distribution Networks: Formulation, Calculation, and Implication,'' IEEE Transactions on Automation Science and Engineering, early access. (配网边际碳排放建模分析)

[J12]Linwei Sang, Xinshu Ling, Zaijun Wu∗ , Meng Song, and Qinran Hu, “Robust Coordinated Prescriptive Power System Dispatch: Bridging Adjustable Robust OPF and Multiple Probabilistic Predictions,” IEEE Transactions on Sustainable Energy, early access, 2026, doi: 10.1109/TSTE.2026.3710413. (模型引导数据驱动下概率预测鲁棒调度一体化研究)

[J13]Linwei Sang, Xinbao Ma, Yuqi Zhang, Chenglei Liang, Xiaolong Xiao, Qinran Hu, Zaijun Wu*, “Physics Informed Reinforcement Learning for Coordinated Real-Time Frequency Control of Grid-Forming Energy Storage in Low-Inertia Microgrids”, was accepted to IEEE Transactions on Sustainable Energy, early access. (物理信息强化学习驱动的微电网频率控制)

[J14]Linwei Sang, Zaijun Wu, Yinliang Xu, Mingyang Zhang, Qinran Hu, and Hongbin Sun, “Encoding Data-driven Flexible and Safe Regions in Distribution Network Operation via Constraint Learning,” was accepted to IEEE Transactions on Industrial Informatics. (内嵌数据驱动灵活安全域的配网调度)

[J15]Linwei Sang, Jingyi Liu, Tao Qian, Haotian Zhao, Qinran Hu, Zaijun Wu, “Coordinating Electricity and Computility in Economic Dispatch by Embedding Quantile Convex Latency Surrogates,” was accepted to Applied Energy. (内嵌延迟约束的算电协同调度)

科研：

[P1]内嵌多源异构灵活性资源的新型配电网混合调度技术研究，国家青年科学基金项目（C类），2026.01-2028.12.，主持。

[P2]可定制协调控制策略的轻量化智能能量管理技术，国家重点研发计划课题，2025.01-2028.12，参与。

[P3]模型数据交互驱动的电网前瞻调度优化决策技术研究，国家重点研发计划课题，2022.10-2026.10，参与。

[P4]以漂浮式风电为主的海岛多能互补关键技术，国家重点研发计划课题，2022.09-2026.08，参与。

[P5]风光水互补系统最佳配比规划研究，中科院咨询项目，2022.03-2022.12.，参与。

[P6]基于数模融合驱动的海量分布式资源与高比例新能源配电网协同优化调度研究，国家自然科学基金面上项目，2023.01-2026.12，参与。