师资队伍
电力电子与电力传动研究所
姓名：高峰
出生年月： 1979年11月
职称： 教授
职务： 院长 党委副书记
Email： fgao@sdu.edu.cn
系所与团队：
电力电子与电力传动研究所
学术身份：
教授、博士生导师，国家杰出青年科学基金获得者，国家优秀青年科学基金获得者，山东省杰出青年基金获得者，齐鲁（仲英）青年学者，担任中国电源学会常务理事、人工智能专委会副主任委员、企业工作委员会副主任委员等。
主要学习和工作经历：
本科、硕士均毕业于山东大学电气工程学院，博士毕业于南洋理工大学，2010年起在山东大学从事教学和科研工作。
研究方向：
人工智能、物联网、量子算法、电池储能系统、电力电子装置及其系统
学术著作：
英文学术专著1部、学术论文300余篇，近3年部分论著如下：
1.
Zhengyi Wang,
Feng Gao, Yunqing Xu, Xiaohui Wang and Jingyang Fang, “Quantum Single-Path Transmission Optimization of Complex Networks,”
Entropy, in press.
2.
Jiahao Li, Tao Xu and
Feng Gao, “High-resolution long-term photovoltaic power forecasting based on a dual-branch framework,”
Solar Energy, 316 (2026) 114904.
3.
Tao Xu,
Feng Gao and Wenqiang Lu, “Dynamic Coordination for PWM-Based Active Thermal Control of Multiple Inverters,”
IEEE Trans.Power Electron., vol. 41, no. 8, pp. 13647-13660, Aug. 2026.
4.
Yu Jiang, Tao Xu,
Feng Gao and Kaizhe Nie, “A Decentralized Secondary Frequency Control Method for Maintaining Regulation Margin in Islanded Microgrids,”
IEEE Trans. Power Electron., vol. 41, no. 7, pp. 11820-11833, Jul. 2026.
5.
Caiyun Qin,
Feng Gao, Guoxiang Wang and Kaizhe Nie, “Data-driven Multi-parameter Tuning for Stabilizing Grid-following Inverters,”
IEEE Trans. Power Electron., vol. 44, no. 6, pp. 7871-7883, May 2026.
6.
Kaizhe Nie,
Feng Gao, Yu Jiang and Caiyun Qin, “An integrated ANN controller for regulating multiple AC/DC variables of two-stage grid-tied inverters,”
Sustainable Energy Technologies and Assessments, 88 (2026) 104947.
7.
Kaizhe Nie,
Feng Gao, Yayue Cao and Yu Jiang, “A Lightweight ANN Controller for Grid-tied Inverters with Strong Adaptability,”
IEEE Open Journal of Power Electronics, vol. 6, pp. 1803-1814, 2025.
8.
Pingchuan Li, Hao Tian and
Feng Gao, “Partial Power Processing Converter Design with 99% Energy Utilization Efficiency for Sodium-Ion Batteries,”
IEEE Trans. Ind. Electron., vol. 72, no. 11, pp. 11416-11422, Nov. 2025.
9.
Zhengyi Wang,
Feng Gao, Yunqing Xu, Xiaohui Wang and Jingyang Fang, “Forward Discrete-Time Quantum Walk for Efficiently Identifying Critical Nodes of Complex Networks,”
Advanced Quantum Technologies, 2025, e00234.
10.
Shuquan Wang,
Feng Gao and Hao Tian, “Deep sorting of reused batteries for enabling long-term consistency grouping with unknown prior conditions,”
Cell Reports Physical Science 6, 102657, July 16, 2025.
11.
Caiyun Qin,
Feng Gao and Kangjia Zhou, “Data-Driven Online Stability Monitoring of Grid-Following Inverters in Weak Grid,”
IEEE Trans. Ind. Informat., vol. 21, no. 6, pp. 4554-4564, Jun. 2025.
12.
Yusen Zhang,
Feng Gao and Kangjia Zhou, “Efficient Energy Disaggregation via Residual Learning-based Depthwise Separable Convolutions and Segmented Inference,”
IEEE Trans. Ind. Informat., vol. 21, no. 3, pp. 2224-2233, Mar. 2025.
13.
Yusen Zhang,
Feng Gao, Shuquan Wang, Kangjia Zhou and Hanzhi Wang, “A Power Extraction Approach with Load State Modification for Energy Disaggregation,”
Energy and AI, 19 (2025) 100461.
14.
Shuquan Wang,
Feng Gao, Zhan Ma, Hao Tian and Yusen Zhang, “Optimizing battery deployment: aging trajectory prediction enabling homogenous performance grouping,”
Journal of Energy Chemistry, vol. 100, pp. 565-577, Jan. 2025.
15.
Tao Xu,
Feng Gao, Pengfei Tan and Frede Blaabjerg, “Coordinated PWM-Based Active Thermal Control for Power Semiconductor Devices in Parallel Grid-Tied Inverters,”
IEEE Trans. Power Electron., vol. 39, no. 12, pp. 15655-15671, Dec. 2024.
16.
Kangjia Zhou,
Feng Gao, Zhenyu Hou and Xiangjian Meng, “Power Conversion Internet of Things: Architecture, Key Technologies and Perspects,”
IEEE Trans. Ind. Informat., vol. 20, no. 8, pp. 10587-10598, Aug. 2024.
17.
Shuquan Wang,
Feng Gao, Hao Tian, Yusen Zhang and Wenjia Pan, “Accurate state-of-charge estimation for sodium-ion batteries based on a low-complexity model with hierarchical learning,”
Journal of Energy Storage, 95(2024)112571.
18.
Tao Xu,
Feng Gao and Jingyang Fang, “Time-Varying Model and Boundary Model of Differential Mode Circulating Switching Harmonics among Multiple Inverters,”
IEEE Journal of Emerging and Selected Topics in Power Electronics, vol. 12, no. 1, pp. 1088-1098, Feb. 2024.
主要科研项目：
主持和承担国家、省部级、企业项目30余项。部分项目如下：
[1]“并网变流器物联智能基础理论与关键技术”，国家自然基金重点项目
[2]“并网变流器集约化设计与精益化调控”，国家杰出青年科学基金
[3]“含高比例电力电子装备的电力系统大扰动稳定和连锁故障演化基础理论”，智能电网联合基金集成项目课题负责人
[4]“并网变换器优化设计与控制”，国家自然科学基金优秀青年基金
招生类型：
欢迎有志于电力电子、新能源与人工智能物联网交叉方向研究的同学报考硕士及博士研究生。
