Yoongun Jung | Network Resilience | Best Research Article Award

Mr. Yoongun Jung | Network Resilience | Best Research Article Award

Korea University | South Korea

Mr. Yoongun Jung is an emerging researcher in Electrical Engineering, currently pursuing an M.S.–Ph.D. integrated program at Korea University, Seoul (2021–2027), after completing his B.S. in Electrical Engineering from the same institution in 2021. His research focuses on cutting-edge domains including AI applications in power systems, HVDC control, and energy management systems, contributing to intelligent, secure and sustainable power infrastructures. Demonstrating strong academic and research excellence, he has received several prestigious recognitions, beginning with an Excellence Award at the Kepco Creative Innovation Idea Contest in 2020 for his work on deep learning-based frequency response prediction. His impactful research has earned multiple Conference Best Paper Awards, including contributions on adaptive Volt–Var control using multiagent deep reinforcement learning (KIEE PES 2021, Jeju), cost-effective dynamic multi-microgrid formulation (KIEE Power System Research Association, 2023, Jeju), and transient stability data-driven special protection schemes using reinforcement learning (First Best Paper Award, ICRERA 2024, Japan). In addition, he has been recognized at IEEE Student Paper Awards for innovations such as solar power prediction using LGBM (2021), dynamic multi-microgrid formulation using spanning tree algorithms (2022), and federated reinforcement learning-based AGC algorithms, which won the Best Paper Award at the KIEE PES North America Chapter Meeting in 2025. Through his prolific research achievements, Mr. Jung continues to advance intelligent energy systems and contribute significantly to the future of smart power engineering.

Profiles: Scopus | Orcid | Google Scholar

Featured Publications

"Enhancing frequency stability with decentralized adaptive control using multi-agent deep reinforcement learning of multi-VSGs", S Kang, Y Jung, D You, G Jang, International Journal of Electrical Power & Energy Systems 172, 2025.

"Cost-Effective automatic generation control for Renewable-dominated grids: Multi-Agent deep reinforcement learning approach", Y Jung, S Kang, J Cha, S Song, M Yoon, G Jang, International Journal of Electrical Power & Energy Systems 173, 2025.

"Coordinate control of multi-infeed VSC-HVDC for enhancing power system reliability", K Kim, Y Jung, M Chang, J Cha, S Kang, H Ku, G Kwon, M Yoon, G, Jang International Journal of Electrical Power & Energy Systems 166, 2025.

"Physics-informed neural network-based VSC back-to-back HVDC impedance model and grid stability estimation", M Chang, Y Jung, S Kang, G Jang, Electronics 13 (13), 2024.

"Transient Stability Data Driven Special Protection Scheme Using Deep Reinforcement Learning", Y Jung, S Kang, K Kim, H Woo, S Choi, G Jang, S Song, M Yoon 2024, 13th International Conference on Renewable Energy Research, 2024.

Yulong Huang | Electric Vehicles | Best Researcher Award

Dr. Yulong Huang | Electric Vehicles | Best Researcher Award

Jinan University | China

Author Profiles

Scopus

Orcid ID

Early Academic Pursuits

Dr. Yulong Huang began his academic journey in Electrical Engineering at the South China University of Technology, Guangzhou, China, where he pursued his doctoral studies. His commitment to research excellence was evident early on, as he expanded his academic horizons by serving as a Visiting Scholar at the University of Waterloo in the 2010–2011 academic year. This international exposure enriched his research perspective and laid a strong foundation for his future contributions in the field of energy systems.

Professional Endeavors

Since 2012, Dr. Huang has been associated with the International Energy College at Jinan University, Zhuhai, China, where he serves as a Lecturer. Over the years, he has consistently contributed to the advancement of electrical engineering, particularly focusing on power systems. His role extends beyond teaching, as he actively engages in high-impact research projects funded by prestigious national and regional organizations.

Contributions and Research Focus

Dr. Huang’s primary research interests lie in power system optimization, operation, and control, with a strong emphasis on integrating electric vehicles (EVs) into modern energy networks. He has co-developed advanced methods to optimize EV charging and discharging processes, particularly through the Hierarchical-Multi-Stage Optimization (HMSO) method, which effectively addresses computational challenges in large-scale systems. His work ensures not only technical efficiency but also significant cost reductions and enhanced voltage regulation in smart grids.

Research Projects and Innovations

He has successfully participated in notable projects, including the National Major Science and Technology Project of China (Grant No. 2025ZD0804900) and the Science and Technology Project of China Southern Power Grid (Grant No. GDKJXM20230248). His collaborations with leading institutes such as the Southern Power Grid Science Research Institute, Xi’an Jiaotong University, and South China University of Technology highlight his dedication to multi-institutional research.

Impact and Influence

Dr. Huang’s research has gained recognition in the scientific community, as reflected in the citations of his impactful publications. His article on EV navigation and charging reservation has been cited 12 times, while his study on optimal control of PEV battery storage for voltage regulation has been cited 28 times in the Web of Science. Beyond publications, his three authorized invention patents further demonstrate his innovative contributions to applied research.

Academic Citations and Recognition

His work is increasingly acknowledged by peers, establishing him as a significant contributor in the domain of power systems and EV integration. The balance of theoretical insights with practical applications in his research continues to influence both academic discourse and industry practices.

Legacy and Future Contributions

Looking ahead, Dr. Huang is expected to continue shaping the future of sustainable power systems. With the growing demand for efficient EV integration and renewable energy solutions, his research is poised to make further breakthroughs in real-time optimization, energy storage control, and large-scale system applications. His commitment to collaboration, innovation, and academic excellence ensures that his legacy will inspire both current and future generations of researchers.

Conclusion

In conclusion, Dr. Yulong Huang exemplifies the qualities of a dedicated researcher, educator, and innovator. Through his academic rigor, impactful projects, and innovative problem-solving methods, he has significantly contributed to the advancement of power system optimization and EV integration. His work stands as a testament to the critical role researchers play in addressing modern energy challenges, making him a strong candidate for recognition as a Best Researcher Award recipient.

Notable Publications

"Charge-discharge hierarchical-multi-stage decoupling optimization for large-scale EVs interacting with volt/var control in distribution systems.

  • Author: Yulong Huang, Wenyang Deng, Kexue Zhang, Mingbo Liu, Min Liu, Qifeng Li, and Yongjun Zhang
  • Journal: Applied Energy
  • Year: 2025

"Electric vehicle entire-trip navigation and charging reservation method based on a high-speed communication network

  • Author: Yulong Huang, Mingbo Liu, and Yongjun Zhang.
  • Journal: International Journal of Electrical Power and Energy Systems
  • Year: 2023

"Day-Ahead Optimal Control of PEV Battery Storage Devices Taking Into Account the Voltage Regulation of the Residential Power Grid.

  • Author: Yulong Huang
  • Journal: IEEE Transactions on Power Systems
  • Year: 2019