郭书嘉

职称：

办公地址：浙江省杭州市西湖区留和路318号浙江科技大学C1-621室，邮编310023

邮箱：shujiaguo@zust.edu.cn

个人简历

郭书嘉，博士，讲师，现任浙江科技大学自动化与电气工程学院电气系教师

研究方向

电力系统稳定与控制，综合能源系统，电力系统多尺度建模，虚拟电厂

教育经历

011.08-2015.06 东北电力大学 工学学士 2015.09-2018.03 澳大利亚新南威尔士大学 工学硕士 2019.08-2023.06 东北电力大学 工学博士

工作经历

科研方向

电力系统稳定分析与控制，新能源联网运行与控制和新能源高效利用

科研项目

1.National Key R&D Program: Stability Analysis Theory of Highly Power-Electronic Power Systems with Source-Grid-Load Integration. 2016-2020 2.National Key R&D Program: Response-Driven Intelligent Enhancement Analysis and Control Technology for Large Power Grid Stability (Key Researcher) 2020-2024 3.Project of State Grid Corporation Headquarters: Damping Modulation Strategy of Interconnected Power Grid with Large-Scale New Energy Driven by Multivariate Random Data. 2018-2020 4.Project of Northeast Electric Power Design Institute: Subsynchronous Oscillation and Safety Stability Control of Power Grid with High Proportion of New Energy Access. 2022-2023 5.Project of State Grid Corporation Headquarters: Refined Damping Assessment and Modulation Technology of New Energy Power System Based on Wide-Area Response. 2018-2023 6.Key Laboratory Project of Ministry of Education: Broadband Oscillation Stability Analysis and Control Strategy of New Power System with Source-Grid-Load-Storage Coordination (Host) 2025-2027 7.A Comparative Study of Security and Stability Control Systems for Power Grids at Home and Abroad and Their Application in the Zambian Power Grid 2026-2027

科研成果

1. Guo, Shujia; Jiang, Chao; Zhou, Shuyu; Wu, Di; Liu, Xu; Power Oscillation Source Location BasedontheCombination of Energy Function and Logistic Regression in a Fully Data-Driven Approach, Iet GenerationTransmission & Distribution, 2025, 19(1) 2. Guowei Cai; Shujia Guo; Cheng Liu; Parameter Identification of Electromechanical Oscillation ModeinPowerSystems Driven by Data: A Quasi-Real-Time Method Based on RandomizedDMD-Multilayer Artificial NeuralNetworks, Frontiers in Energy Research, 2022, 10. 3. Shujia Guo; Guowei Cai; Deyou Yang; Chao Jiang; Shuyu Zhou; Compressed-DMDfor ElectromechanicalMode Estimation from High-Dimensional Ambient Data, International Transactions on Electrical EnergySystems, 2022: 1-14. 4. Shujia Guo; Jing Cong; Chao Jiang; Xu Liu; Power Oscillation Source Location Based on the CombinationofEnergy Function and Normal Distribution in a Fully Data-Driven Approach, Energies, 2024, 17(20).

教授课程

供电工程，电力系统基础，电力系统分析，继电保护与自动装置，专业英语

学术兼职

团队信息

欢迎对电机及其系统、电力系统与综合能源等研究方向有浓厚兴趣、愿意潜心钻研的同学加入我们！