604 citations
Counting papers with at most 25 authors, so collaboration author lists do not stand in for the people here.
- Yang Li20 profiles78 · h 57
- Guoqing Li2 profiles15 · h 31
- Lei Kou2 profiles10 · h 23
- Yuanzheng Li2 profiles10 · h 26
- Y. Li9 · h 69
- Zhaoyang Qu3 profiles9 · h 14
- Zhen Yang9 · h 10
- Chen Chen3 profiles8 · h 45
- Dongbo Zhao2 profiles8 · h 28
- Jiazheng Li2 profiles6 · h 6
- Lei Wang3 profiles6 · h 9
- Meng Zhang3 profiles6 · h 7
- Huazhong University of Science and TechnologyCN11 papers
- State Grid Corporation of China (China)CN10 papers
- Argonne National LaboratoryUS9 papers
- North China Electric Power UniversityCN9 papers
- Changchun Institute of TechnologyCN6 papers
- Illinois Institute of TechnologyUS6 papers
- Electric Power UniversityVN5 papers
- Jilin Electric Power Research Institute (China)CN5 papers
- Nanjing University of Information Science and TechnologyCN5 papers
- Qilu University of TechnologyCN5 papers
- Shandong Academy of SciencesCN5 papers
- Xi'an Jiaotong UniversityCN5 papers
115 papers
Donor-acceptor recombination in diamond
Konstantin Iakoubovskii, Andrey Katrusha, Weihua Peng +1
We re-examine several optical systems that have previously been attributed to donor-acceptor (D-A) recombination in diamond, including the broad 2.8 eV and 2.3 eV bands, and the sh…
ZTFed-MAS2S: A Zero-Trust Federated Learning Framework with Verifiable Privacy and Trust-Aware Aggregation for Wind Power Data Imputation
Yang Li, Hanjie Wang, Yuanzheng Li +2
Wind power data often suffers from missing values due to sensor faults and unstable transmission at edge sites. While federated learning enables privacy-preserving collaboration wi…
MMP-2K: A Benchmark Multi-Labeled Macro Photography Image Quality Assessment Database
Jiashuo Chang, Zhengyi Li, Jianxun Lou +2
Macro photography (MP) is a specialized field of photography that captures objects at an extremely close range, revealing tiny details. Although an accurate macro photography image…
AI-Enhanced Resilience in Power Systems: Adversarial Deep Learning for Robust Short-Term Voltage Stability Assessment under Cyber-Attacks
Yang Li, Shitu Zhang, Yuanzheng Li
In the era of Industry 4.0, ensuring the resilience of cyber-physical systems against sophisticated cyber threats is increasingly critical. This study proposes a pioneering AI-base…
SCKF-LSTM Based Trajectory Tracking for Electricity-Gas Integrated Energy System
Liang Chen, Yang Li, Jun Cai +2
This paper introduces a novel approach for tracking the dynamic trajectories of integrated natural gas and power systems, leveraging a Kalman filter-based structure. To predict the…
Physical Informed-Inspired Deep Reinforcement Learning Based Bi-Level Programming for Microgrid Scheduling
Yang Li, Jiankai Gao, Yuanzheng Li +4
To coordinate the interests of operator and users in a microgrid under complex and changeable operating conditions, this paper proposes a microgrid scheduling model considering the…
Critical link identification of power system vulnerability based on modified graph attention network
Changgang Wang, Xianwei Wang, Yu Cao +3
With the expansion of the power grid and the increase of the proportion of new energy sources, the uncertainty and random factors of the power grid increase, endangering the safe o…
Hierarchical Optimal Dispatch of Active Distribution Networks Considering Flexibility Auxiliary Service of Multi-community Integrated Energy Systems
Chunling Wang, Chunming Liu, Xiulin Zhou +2
Active distribution networks (ADNs) are the main platforms for carrying large-scale distributed renewable energy and flexible resources, and multi-community integrated energy syste…
Extraction of Typical Operating Scenarios of New Power System Based on Deep Time Series Aggregation
Zhaoyang Qu, Zhenming Zhang, Nan Qu +5
Extracting typical operational scenarios is essential for making flexible decisions in the dispatch of a new power system. This study proposed a novel deep time series aggregation…
Optimal Dispatch Strategy for a Multi-microgrid Cooperative Alliance Using a Two-Stage Pricing Mechanism
Yonghui Nie, Zhi Li, Jie Zhang +3
To coordinate resources among multi-level stakeholders and enhance the integration of electric vehicles (EVs) into multi-microgrids, this study proposes an optimal dispatch strateg…
Enhancing Resilience of Power Systems against Typhoon Threats: A Hybrid Data-Model Driven Approach
Yang Li
This chapter addresses the increasing vulnerability of coastal regions to typhoons and the consequent power outages, emphasizing the critical role of power transmission systems in…
Influences of Divalent Ions in Natural Seawater/River Water on Nanofluidic Osmotic Energy Generation
Fenhong Song, Xuan An, Long Ma +2
Besides the dominant NaCl, natural seawater/river water contains trace multivalent ions, which can provide effective screening to surface charges. Here, in both negatively and posi…
Localization of Dummy Data Injection Attacks in Power Systems Considering Incomplete Topological Information: A Spatio-Temporal Graph Wavelet Convolutional Neural Network Approach
Zhaoyang Qu, Yunchang Dong, Yang Li +8
The emergence of novel the dummy data injection attack (DDIA) poses a severe threat to the secure and stable operation of power systems. These attacks are particularly perilous due…
Enhancing Cyber-Resilience in Integrated Energy System Scheduling with Demand Response Using Deep Reinforcement Learning
Yang Li, Wenjie Ma, Yuanzheng Li +3
Optimally scheduling multi-energy flow is an effective method to utilize renewable energy sources (RES) and improve the stability and economy of integrated energy systems (IES). Ho…
A novel method of restoration path optimization for the AC-DC bulk power grid after a major blackout
Chao Yang, Gaoshen Liang, Tianle Cheng +2
The restoration control of the modern alternating current-direct current (AC-DC) hybrid power grid after a major blackout is difficult and complex. Taking into account the interact…
Deep learning based on Transformer architecture for power system short-term voltage stability assessment with class imbalance
Yang Li, Jiting Cao, Yan Xu +2
Most existing data-driven power system short-term voltage stability assessment (STVSA) approaches presume class-balanced input data. However, in practical applications, the occurre…
A Demand-Supply Cooperative Responding Strategy in Power System with High Renewable Energy Penetration
Yuanzheng Li, Xinxin Long, Yang Li +3
Industrial demand response (IDR) plays an important role in promoting the utilization of renewable energy (RE) in power systems. However, it will lead to power adjustments on the s…
PMU measurements based short-term voltage stability assessment of power systems via deep transfer learning
Yang Li, Shitu Zhang, Yuanzheng Li +2
Deep learning has emerged as an effective solution for addressing the challenges of short-term voltage stability assessment (STVSA) in power systems. However, existing deep learnin…
Model predictive control strategy in waked wind farms for optimal fatigue loads
Cheng Zhong, Yicheng Ding, Husai Wang +3
With the rapid growth of wind power penetration, wind farms (WFs) are required to implement frequency regulation that active power control to track a given power reference. Due to…
Image encryption for Offshore wind power based on 2D-LCLM and Zhou Yi Eight Trigrams
Lei Kou, Jinbo Wu, Fangfang Zhang +6
Offshore wind power is an important part of the new power system, due to the complex and changing situation at ocean, its normal operation and maintenance cannot be done without in…
Collaborative Optimization of Multi-microgrids System with Shared Energy Storage Based on Multi-agent Stochastic Game and Reinforcement Learning
Yijian Wang, Yang Cui, Yang Li +1
Achieving the economical and stable operation of Multi-microgrids (MMG) systems is vital. However, there are still some challenging problems to be solved. Firstly, from the perspec…
Output Voltage Response Improvement and Ripple Reduction Control for Input-parallel Output-parallel High-Power DC Supply
Jianhui Meng, Xiaolong Wu, Tairan Ye +4
A three-phase isolated AC-DC-DC power supply is widely used in the industrial field due to its attractive features such as high-power density, modularity for easy expansion and ele…
Multi-Microgrid Collaborative Optimization Scheduling Using an Improved Multi-Agent Soft Actor-Critic Algorithm
Jiankai Gao, Yang Li, Bin Wang +1
The implementation of a multi-microgrid (MMG) system with multiple renewable energy sources enables the facilitation of electricity trading. To tackle the energy management problem…
Data-Driven Distributionally Robust Scheduling of Community Integrated Energy Systems with Uncertain Renewable Generations Considering Integrated Demand Response
Yang Li, Meng Han, Mohammad Shahidehpour +2
A community integrated energy system (CIES) is an important carrier of the energy internet and smart city in geographical and functional terms. Its emergence provides a new solutio…