Hong Lucheng

Biography：

Researcher Hong Lucheng was born in Nantong, Jiangsu Province. He is currently a researcher, doctoral supervisor, and IEEE Senior Member. He received his bachelor‘s degree from the School of Electrical Engineering, Southeast University, and his master’s and doctoral degrees from the Department of Electrical Engineering, Tsinghua University. He serves as the Executive Director of the IEEE PES Technical Committee (China), and is a member of both the Youth Working Committee and the Power Quality Committee of the China Power Supply Society.

In recent years, he has presided over 3 National Natural Science Foundation projects, 2 National Key R&D Plan sub-projects, 2 Jiangsu Provincial Natural Science Foundation projects, and 1 Jiangsu Provincial Major Achievements Transformation Project. Cooperated with State Grid Corporation of China, China Southern Power Grid Corporation and other units on dozens of horizontal projects.

In recent years, he has won a number of provincial and ministerial science and technology awards, including:

1. the first prize of the China Electrotechnical Society Science and Technology Progress Award in 2024 (ranked 1st per unit/individual).

2. the second prize of the Jiangsu Province Science and Technology Progress Award in 2024 (ranked 1st individually).

3. the 19th Jiangsu Science and Technology Progress Award The "Challenge Cup" special competition, the national special prize/championship of the 2025 China Youth Science and Technology Innovation "Unveiling the List" Competition (the instructor ranks 1st).

4. the third prize of the 2025 Chint Cup Youth Innovation and Entrepreneurship Competition (the instructor ranks 1st)

5. National Artificial Intelligence Application Scenario Innovation Challenge - First Prize in the National Finals (the instructor ranks 1st).

In 2024, he was named the 14th My Favorite Graduate Tutor of Southeast University - the College's Outstanding Tutor.

In recent years, he has published more than 30 academic papers, including IEEE Trans.on Power System, IEEE Trans. On Sustainable Energy, IEEE Trans. On Power Delivery, IEEE Trans. On Power Electronics, IEEE Trans. On Industrial Electronics, IET Renewable Power Generation, Chinese Journal of Electrical Engineering, Power System Automation, Chinese Journal of Electrotechnical Technology and other first-class domestic and foreign publications, and has authorized dozens of related invention patents. Served as a reviewer for top domestic and foreign journals such as IEEE Trans journals, Artificial Intelligence Review (AIRE), Chinese Journal of Electrical Engineering, Chinese Journal of Electrotechnical Technology, and Power System Automation.

Publications：

He has published a series of high-quality journal papers as the first author or corresponding author in recent years. The representative publications include:

1. MADRL-Based DSO-Customer Coordinated Bi-Level Volt/VAR Optimization Method for Power Distribution Networks, IEEE Transactions on Sustainable Energy (2024).

2. Dynamic Distribution Network Reconfiguration Considering V2G-Enabled EV Aggregation Stations: A Safe Reinforcement Learning Approach, IEEE Transactions on Industry Applications (2025).

3. Admittance-Based Stability Analysis of LCL-Type Grid-Connected Inverter Considering AC-Side and AC-DC Frequency Coupling Effects, IEEE Transactions on Power Delivery (2024).

4. A Simple Double-Line-Frequency Pulsating Power Mitigation for Grid-Forming Converters under Imbalanced Grids, IEEE Transactions on Industrial Electronics (2025).

5. Dual-Channel Active Disturbance Injection Based Islanding Detection Approach for Grid-Forming Converters, IEEE Transactions on Power Electronics (2025).

6. Volt/VAR optimization for photovoltaic-storage-charging station high-permeability power distribution networks: A data-knowledge hybrid driven reinforcement learning method, Electric Power Systems Research (2025).

7. Medium- and Long-Term Operation Optimization Method for Distribution Networks Coordinated with Distributed Electric Hydrogen Coupling Systems, Automation of Electric Power Systems (2026, in Chinese).

8. Active/Reactive Power Optimization Decision Method for High PV-Penetration Distribution Networks with PV-Storage-Charging Systems Based on Constraint-Enhanced Safe Reinforcement Learning, Automation of Electric Power Systems (2025, in Chinese).

9. Active-Reactive Power Coordinated Optimization Strategy for High PV-Penetration Distribution Networks Considering SOP Operational Lifetime Consumption, Transactions of China Electrotechnical Society (2025, in Chinese).

10. A Device-Equipment-System Multi-Level Power Supply Reliability Evaluation Strategy for Power-Electronics-Dominated Distribution Networks for Typical Mission Profiles, Proceedings of the CSEE (2025, in Chinese).

He has been granted several invention patents in recent years. Representative authorized patents include:

1. A stability analysis method for photovoltaic grid-connected system based on MIMO admittance model (December 6, 2024, CN202311778572.8)

2. A third-order admittance modeling method for inverters considering frequency coupling effects (January 7, 2025, CN202311806496.7)

3. Voltage/VAR optimization method and system based on spatiotemporal-aware safe reinforcement learning (February 11, 2025, CN202410017952.8)

4. Reactive power optimization method for distribution networks considering transfer reinforcement learning for electric vehicle aggregation stations (February 7, 2025, CN202410017950.9)

5. Stability analysis method for photovoltaic-storage microgrid in islanded scenario based on system admittance characteristics (October 17, 2025, CN202510226169.7)

Research：

Researcher Hong has presided over a number of national-level scientific research projects as the project leader in recent years. These include:

1. National Natural Science Foundation of China general project “Research on online diagnosis and suppression of all-operating oscillations in power electronic AC and DC distribution stations based on artificial intelligence” (2025-2028);

2. National Natural Science Foundation of China general project “Research on multi-time scale oscillation morphology and propagation mechanism of distribution network considering the access of multiple power electronic converters” (2021-2024);

3. National Natural Science Foundation of China Youth Science Fund Project “Single-three-phase hybrid distributed power generation system" "Research on the Resonant Mode and Stable Domain Boundary” (2018-2020);

4. National Key R&D Program Key Project “Multi-objective parameter optimization and energy collaborative management and control technology under flexible operation of power-steam co-generation system” (2024 -2027);

5. Jiangsu Province Carbon Peak Carbon Neutral Technology Innovation Special Fund Scientific and Technological Achievements Transformation Project “Research and Industrialization of Key Technologies for Heterogeneous Power Device Networking/Network-Following Photovoltaic Energy Storage Converters” (2023-2026).

Teaching：

Undergraduate courses:

1. Power System Steady-State Analysis

2. Principles of Power System Automatic Devices

3. Power System Understanding Practice

Postgraduate courses:

1. Steady-State Analysis of Power Systems

2. Comprehensive Practice of Power Systems

3. Discussion on New Issues in Power-Electronics-Dominated Power Systems

Graduates：

Current doctoral students: Wu Minghe, Gao Yuan, Yang Shengzhe, Zhou Aihua, Wu Si, Jiami

Current master’s students: Wang Ziquan, Han Lin, Zhang Xingrui, Du Ai, Huang Yumeng, Zhu Zhengyuan, Liu Yuxin, Guan Tao

Graduated graduate students (year of admission): Shu Wantao (2017), Dong Chenghao (2018), Mi An (2018), Li Yankun (2018), An Shanshan (2018), Xu Jiayu (2019), Wu Minghe (2020), Yan Ziheng (2020), Gu Yuan (2020), Chen Zehua (2020), Gu Danyan (2021), Zhou Hao (2021), Yu Qiangqiang (2021), Tang Runyue (2021), Gu Jie (2022), Liu Hui (2022), Zhu Zihan (2022), Li Xuefei (2022), Zhu Yunyi (2022)

In the past five years, more than 10 students have won national scholarships. Graduates have worked in large state-owned enterprises and government administrative units such as State Grid Jiangsu Electric Power Co., Ltd., State Grid Zhejiang Electric Power Co., Ltd., State Grid Shanghai Electric Power Co., Ltd., State Grid Fujian Electric Power Co., Ltd., State Grid Anhui Electric Power Co., Ltd., China Southern Power Grid Guangdong Power Grid Co., Ltd., Nari Group Co., Ltd., Nanjing Guodian Nanzi Automation Co., Ltd., and China Aviation Industry Corporation. Currently, he recruits 2-3 master students and 1-2 doctoral students every year.