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
28 papers · 1 filter
Federated Multi-Agent Deep Reinforcement Learning Approach via Physics-Informed Reward for Multi-Microgrid Energy Management
Yuanzheng Li, Shangyang He, Yang Li +2
The utilization of large-scale distributed renewable energy promotes the development of the multi-microgrid (MMG), which raises the need of developing an effective energy managemen…
Optimal scheduling of island integrated energy systems considering multi-uncertainties and hydrothermal simultaneous transmission: A deep reinforcement learning approach
Yang Li, Fanjin Bu, Yuanzheng Li +1
Multi-uncertainties from power sources and loads have brought significant challenges to the stable demand supply of various resources at islands. To address these challenges, a com…
A Random Forest and Current Fault Texture Feature-Based Method for Current Sensor Fault Diagnosis in Three-Phase PWM VSR
Lei Kou, Xiao-dong Gong, Yi Zheng +4
Three-phase PWM voltage-source rectifier (VSR) systems have been widely used in various energy conversion systems, where current sensors are the key component for state monitoring…
Wind Power Forecasting Considering Data Privacy Protection: A Federated Deep Reinforcement Learning Approach
Yang Li, Ruinong Wang, Yuanzheng Li +2
In a modern power system with an increasing proportion of renewable energy, wind power prediction is crucial to the arrangement of power grid dispatching plans due to the volatilit…
Data-driven design of fault diagnosis for three-phase PWM rectifier using random forests technique with transient synthetic features
Lei Kou, Chuang Liu, Guo-wei Cai +2
A three-phase pulse-width modulation (PWM) rectifier can usually maintain operation when open-circuit faults occur in insulated-gate bipolar transistors (IGBTs), which will lead th…
A survey on the development status and application prospects of knowledge graph in smart grids
Jian Wang, Xi Wang, Chaoqun Ma +1
With the advent of the electric power big data era, semantic interoperability and interconnection of power data have received extensive attention. Knowledge graph technology is a n…
Fault diagnosis for three-phase PWM rectifier based on deep feedforward network with transient synthetic features
Kou Lei, Liu Chuang, Cai Guo-Wei +3
Three-phase PWM rectifiers are adopted extensively in industry because of their excellent properties and potential advantages. However, while the IGBT has an open-circuit fault, th…
Review on Monitoring, Operation and Maintenance of Smart Offshore Wind Farms
Lei Kou, Yang Li, Fangfang Zhang +4
In recent years, with the development of wind energy, the number and scale of wind farms are developing rapidly. Since offshore wind farm has the advantages of stable wind speed, c…
Fault diagnosis for open-circuit faults in NPC inverter based on knowledge-driven and data-driven approaches
Lei Kou, Chuang Liu, Guo-wei Cai +3
In this study, the open-circuit faults diagnosis and location issue of the neutral-point-clamped (NPC) inverters are analysed. A novel fault diagnosis approach based on knowledge d…
Fault Diagnosis for Power Electronics Converters based on Deep Feedforward Network and Wavelet Compression
Lei Kou, Chuang Liu, Guowei Cai +1
A fault diagnosis method for power electronics converters based on deep feedforward network and wavelet compression is proposed in this paper. The transient historical data after w…
Optimal dispatch of low-carbon integrated energy system considering nuclear heating and carbon trading
Yang Li, Fanjin Bu, Jiankai Gao +1
The development of miniaturized nuclear power (NP) units and the improvement of the carbon trading market provide a new way to realize the low-carbon operation of integrated energy…
Detection of False Data Injection Attacks in Smart Grid: A Secure Federated Deep Learning Approach
Yang Li, Xinhao Wei, Yuanzheng Li +2
As an important cyber-physical system (CPS), smart grid is highly vulnerable to cyber attacks. Amongst various types of attacks, false data injection attack (FDIA) proves to be one…
Resilience assessment and improvement for electric power transmission systems against typhoon disasters: A data-model hybrid driven approach
Rui Yang, Yang Li
In response to the damage to electric power transmission systems caused by typhoon disasters in coastal areas, a planning-targeted resilience assessment framework that considers th…
Automatic Classification of Bug Reports Based on Multiple Text Information and Reports' Intention
Fanqi Meng, Xuesong Wang, Jingdong Wang +1
With the rapid growth of software scale and complexity, a large number of bug reports are submitted to the bug tracking system. In order to speed up defect repair, these reports ne…
Rating the Crisis of Online Public Opinion Using a Multi-Level Index System
Fanqi Meng, Xixi Xiao, Jingdong Wang
Online public opinion usually spreads rapidly and widely, thus a small incident probably evolves into a large social crisis in a very short time, and results in a heavy loss in cre…
Auto-Encoder-Extreme Learning Machine Model for Boiler NOx Emission Concentration Prediction
Zhenhao Tang, Shikui Wang, Xiangying Chai +3
An automatic encoder (AE) extreme learning machine (ELM)-AE-ELM model is proposed to predict the NOx emission concentration based on the combination of mutual information algorithm…
Data Encryption based on 9D Complex Chaotic System with Quaternion for Smart Grid
Fangfang Zhang, Zhe Huang, Lei Kou +3
With the development of smart grid, the operation and control of power system is realized through power communication network, especially the power production and enterprise manage…
Demand Response Method Considering Multiple Types of Flexible Loads in Industrial Parks
Jia Cui, Mingze Gao, Xiaoming Zhou +4
With the rapid development of the energy internet, the proportion of flexible loads in smart grid is getting much higher than before. It is highly important to model flexible loads…
A BCS-GDE Multi-objective Optimization Algorithm for Combined Cooling, Heating and Power Model with Decision Strategies
Jiaze Sun, Jiahui Deng, Yang Li +1
District energy systems can not only reduce energy consumption but also set energy supply dispatching schemes according to demand. In addition to economic cost, energy consumption…
Probabilistic Charging Power Forecast of EVCS: Reinforcement Learning Assisted Deep Learning Approach
Yuanzheng Li, Shangyang He, Yang Li +3
The electric vehicle (EV) and electric vehicle charging station (EVCS) have been widely deployed with the development of large-scale transportation electrifications. However, since…
Multi-source data processing and fusion method for power distribution internet of things based on edge intelligence
Quande Yuan, Yuzhen Pi, Lei Kou +3
With the rapid advancement of the Energy Internet strategy, the number of sensors within the Power Distribution Internet of Things (PD-IoT) has increased dramatically. In this pape…
Research on Flexibility Margin of Electric-Hydrogen Coupling Energy Block Based on Model Predictive Control
Zijiao Han, Shun Yuan, Yannan Dong +3
Hydrogen energy plays an important role in the transformation of low-carbon energy, and electric hydrogen coupling will become a typical energy scenario. Aiming at the operation fl…
A Robust Approach for the Decomposition of High-Energy-Consuming Industrial Loads with Deep Learning
Jia Cui, Yonghui Jin, Renzhe Yu +4
The knowledge of the users' electricity consumption pattern is an important coordinating mechanism between the utility company and the electricity consumers in terms of key decisio…
Probabilistic load flow calculation of AC/DC hybrid system based on cumulant method
Yinfeng Sun, Dapeng Xia, Zichun Gao +5
The operating conditions of the power system have become more complex and changeable. This paper proposes a probabilistic load flow based on the cumulant method (PLF-CM) for the vo…