主要成就
在IEEE Trans. Smart Grid、Applied Energy、Renewable Energy、Energy、《電力系統自動化》等國內外學術期刊發表學術論文近30篇,其中以第一作者/通信作者發表SCI/EI期刊論文20篇、ESI高被引論文1篇。授權發明專利6項。
主要研究領域:
針對配電網面向分散式電源大規模接入的瓶頸問題,聚焦建模、市場、運行、控制技術,提高新型配電網的安全、穩定和經濟運行水平,促進分散式電源就近消納,支撐多元新主體、新業態創新發展!
新型配電系統:以多元主體的新型配電網為研究對象,研究新型配電網的態勢感知、群控方法;
新型儲能系統:研究源/網/荷各側多元化多類型儲能的商業模式、運行調度、交易機制;
多市場交易:研究電-碳-綠證多市場的互動機理和市場機制;
海量資源聚合:研究靈活性資源的聚合、柔性負荷互動參與需求側回響、虛擬電廠。
部分科研項目(主持):
1)國家自然科學基金青年基金項目(52407092):面向低碳需求的用戶側共享儲能電碳耦合交易及最佳化運行研究,2025-2027
2)安徽省重點實驗室開放基金項目:多時間尺度用戶側儲能協調最佳化調度策略研究,2024-2025
3)國網安徽省電力公司科技項目:智慧城市多網融合下車網互動資源感知預測與智慧型聚合調控策略研究,2024-2025
4)國網安徽省電力公司科技項目:面向多元化氫能高效利用的綠色交易機制研究,2024-2025
5)中央高校基本科研業務費項目:青年教師科研創新啟動專項(JZ2024HGQA0081)、學術新人提升計畫項目(JZ2024HGTA0181)
代表性學術論文:
1) Ye He, Hongyun Fu, Andrew Y. Wu, et al. Enhancing resilience of distribution system under extreme weather: Two-stage energy storage system configuration strategy based on robust optimization[J]. International Journal of Electrical Power & Energy Systems, 2025,167:110624.
2) Ye He, Hongbin Wu, Ming Ding, et al. Optimized shared energy storage in a peer-to-peer energy trading market: two-stage strategic model regards bargaining and evolutionary game theory[J]. Renewable Energy, 2024, 224: 120190.
3) Ye He, Wenyuan Bai, Lulu Wang, et al. SOH estimation for lithium-ion batteries: An improved GPR optimization method based on the developed feature extraction[J]. Journal of Energy Storage, 2024,83:110678. (ESI高被引)
4) Ye He, Hongbin Wu, Rui Bi, et al. Coordinated planning of distributed generation and soft open points in active distribution network based on complete information dynamic game[J], International Journal of Electrical Power and Energy Systems, 2022, 138: 107953.
5) Ye He, Hongbin Wu, Ming Ding, et al. Reduction Method for Multi-Period Time Series Scenarios of Wind Power[J], Electric Power Systems Research, 2023, 214: 108813.
6)何葉,楊曉東,吳紅斌, 等. 面向新型配電系統靈活性提升的智慧型軟開關-儲能協調規劃[J]. 電力系統自動化, 2023,47(18):142-150.
7)Lei Zhang, Ye He*, Hongbin Wu,et al. An Optimal Scheduling Framework for Integrated Energy Systems Using Deep Reinforcement Learning and Deep Learning Prediction Models[J]. IEEE Transactions on Smart Grid, 2025, to be published.DOI: 10.1109/TSG.2025.3599511.
8)Lei Zhang, Ye He*, Nikos D. Hatziargyriou, et al. An Optimization Scheduling Strategy for Hydrogen-based Integrated Energy Systems Using Multi-Agent Deep Reinforcement Learning[J]. Energy Conversion and Management, 2025,326: 119483.
9)Hongbin Wu, Xinjie Lan, Ye He*, et al. Orderly charging of electric vehicles: A two-stage spatial-temporal scheduling method based on user-personalized navigation[J]. Applied Energy, 2025, 378: 124800.
10)Zhuyuan Sun, Ye He*, Hongbin Wu, et al. Bi-level planning of electric vehicle charging stations considering charging demand: A Nash bargaining game approach. Energy, 2025, 332: 137137.
11)Hongbin Wu, Zhe Liu, Ye He*,et al. Two-layer optimal scheduling method for regional integrated energy system considering flexibility characteristics of CHP system[J], Energy, 2024, 308: 132970.
12)ShangPeng Zhong, Ye He*, Hongbin Wu, et al. Collaborative decision-making for integrated energy systems based on A-ADMM: A multi-subject low-carbon optimization and dynamic hydrogen pricing mechanism. International Journal of Hydrogen Energy, 2025, 170: 151252.
13)Yan Yao, Ye He*, Hongbin Wu, et al. Multi-timescale Hierarchical Dispatch Strategy of Hybrid Energy Storage for Multiple Auxiliary Service Markets[J]. Journal of Energy Storage, 2025,105:114677.
14)Hansheng Tang, Ye He*, Xiaoming Wang, et al. Two-stage multi-mode voltage control for distribution networks: A deep reinforcement learning approach based on multiple intelligences[J]. IEEE Transactions on Industry Applications, 2024,60(4): 5681-5691
15)Hongbin Wu, Honghui Liu, Ye He*, et al. Market bidding for multiple photovoltaic-storage systems: A two-stage bidding strategy based on a non-cooperative game[J]. Solar Energy, 2024, 271:112438
獲獎記錄
2024年 中國電工技術學會科學技術獎一等獎
2025年 全國大學生電子設計競賽全國二等獎(第一指導教師)