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
23 papers · 1 filter
A review of data-driven short-term voltage stability assessment of power systems: Concept, principle, and challenges
Jiting Cao, Meng Zhang, Yang Li
With the rapid growth of power market reform and power demand, the power transmission capacity of a power grid is approaching its limit, and the secure and stable operation of powe…
Hierarchical Stochastic Scheduling of Multi-Community Integrated Energy Systems in Uncertain Environments via Stackelberg Game
Yang Li, Bin Wang, Zhen Yang +2
An operating entity utilizing community-integrated energy systems with a large number of small-scale distributed energy sources can easily trade with existing distribution markets.…
Dynamic Exploitation Gaussian Bare-Bones Bat Algorithm for Optimal Reactive Power Dispatch to Improve the Safety and Stability of Power System
Zhaoyang Qu, Yunchang Dong, Sylvère Mugemanyi +6
In this paper, a novel Gaussian bare-bones bat algorithm (GBBBA) and its modified version named as dynamic exploitation Gaussian bare-bones bat algorithm (DeGBBBA) are proposed for…
A Deep-Learning Intelligent System Incorporating Data Augmentation for Short-Term Voltage Stability Assessment of Power Systems
Yang Li, Meng Zhang, Chen Chen
Facing the difficulty of expensive and trivial data collection and annotation, how to make a deep learning-based short-term voltage stability assessment (STVSA) model work well on…
Stochastic optimal scheduling of demand response-enabled microgrids with renewable generations: An analytical-heuristic approach
Yang Li, Kang Li, Zhen Yang +3
In the context of transition towards cleaner and sustainable energy production, microgrids have become an effective way for tackling environmental pollution and energy crisis issue…
A critical review of data-driven transient stability assessment of power systems: principles, prospects and challenges
Shitu Zhang, Zhixun Zhu, Yang Li
Transient stability assessment (TSA) has always been a fundamental means for ensuring the secure and stable operation of power systems. Due to the integration of new elements such…
Bitcoin Transaction Strategy Construction Based on Deep Reinforcement Learning
Fengrui Liu, Yang Li, Baitong Li +2
The emerging cryptocurrency market has lately received great attention for asset allocation due to its decentralization uniqueness. However, its volatility and brand new trading mo…
Non-intrusive load decomposition based on CNN-LSTM hybrid deep learning model
Xinxin Zhou, Jingru Feng, Yang Li
With the rapid development of science and technology, the problem of energy load monitoring and decomposition of electrical equipment has been receiving widespread attention from a…
Optimal Scheduling of Integrated Demand Response-Enabled Community Integrated Energy Systems in Uncertain Environments
Yang Li, Bin Wang, Zhen Yang +2
The community integrated energy system (CIES) is an essential energy internet carrier that has recently been the focus of much attention. A scheduling model based on chance-constra…
A BCS-GDE Algorithm for Multi-objective Optimization of Combined Cooling, Heating and Power Model
Jiaze Sun, Jiahui Deng, Yang Li +2
District energy systems can not only reduce energy consumption but also set energy supply dispatching schemes according to demand. In this paper, the combined cooling heating and p…
Optimal Scheduling of Isolated Microgrids Using Automated Reinforcement Learning-based Multi-period Forecasting
Yang Li, Ruinong Wang, Zhen Yang
In order to reduce the negative impact of the uncertainty of load and renewable energies outputs on microgrid operation, an optimal scheduling model is proposed for isolated microg…
Frequency support Scheme based on parametrized power curve for de-loaded Wind Turbine under various wind speed
Cheng Zhong, Yueming Lv, Huayi Li +2
With increased wind power penetration in modern power systems, wind plants are required to provide frequency support similar to conventional plants. However, for the existing frequ…
Quantum anharmonic enhancement of superconductivity in ScH at high pressures: a first-principles study
Pugeng Hou, Francesco Belli, Raffaello Bianco +1
Making use of first-principles calculations, we analyze the effect of quantum ionic fluctuations and lattice anharmonicity on the crystal structure and superconductivity of P63/mmc…
Coordinating Flexible Demand Response and Renewable Uncertainties for Scheduling of Community Integrated Energy Systems with an Electric Vehicle Charging Station: A Bi-level Approach
Yang Li, Meng Han, Zhen Yang +1
A community integrated energy system (CIES) with an electric vehicle charging station (EVCS) provides a new way for tackling growing concerns of energy efficiency and environmental…
Privacy-preserving Spatiotemporal Scenario Generation of Renewable Energies: A Federated Deep Generative Learning Approach
Yang Li, Jiazheng Li, Yi Wang
Scenario generation is a fundamental and crucial tool for decision-making in power systems with high-penetration renewables. Based on big historical data, a novel federated deep ge…
Dynamic State Estimation for Integrated Natural Gas and Electric Power Systems
Liang Chen, Xinxin Hui, Songlin Gu +2
A dynamic state estimation method of integrated natural gas and electric power systems (IGESs) in proposed. Firstly, the coupling model of gas pipeline networks and power systems b…
Virtual synchronous generator of PV generation without energy storage for frequency support in autonomous microgrid
Cheng Zhong, Huayi Li, Yang Zhou +3
In autonomous microgrids frequency regulation (FR) is a critical issue, especially with a high level of penetration of the photovoltaic (PV) generation. In this study, a novel virt…
Optimal Scheduling of Integrated Demand Response-Enabled Integrated Energy Systems with Uncertain Renewable Generations: A Stackelberg Game Approach
Yang Li, Chunling Wang, Guoqing Li +1
In order to balance the interests of integrated energy operator (IEO) and users, a novel Stackelberg game-based optimization framework is proposed for the optimal scheduling of int…
Coordinated Cyber-Attack Detection Model of Cyber-Physical Power System Based on the Operating State Data Link
Lei Wang, Pengcheng Xu, Zhaoyang Qu +4
Existing coordinated cyber-attack detection methods have low detection accuracy and efficiency and poor generalization ability due to difficulties dealing with unbalanced attack da…
Robust Kalman filter-based dynamic state estimation of natural gas pipeline networks
Liang Chen, Peng Jin, Jing Yang +2
To obtain the accurate transient states of the big scale natural gas pipeline networks under the bad data and non-zero mean noises conditions, a robust Kalman filter-based dynamic…
Deep Learning for Short-Term Voltage Stability Assessment of Power Systems
Meng Zhang, Jiazheng Li, Yang Li +1
To fully learn the latent temporal dependencies from post-disturbance system dynamic trajectories, deep learning is utilized for short-term voltage stability (STVS) assessment of p…
Modeling Method for the Coupling Relations of Microgrid Cyber-Physical Systems Driven by Hybrid Spatiotemporal Events
Xiaoyong Bo, Xiaoyu Chen, Huashun Li +4
The essence of the microgrid cyber-physical system (CPS) lies in the cyclical conversion of information flow and energy flow. Most of the existing coupling models are modeled with…
Strong Anharmonic and Quantum Effects in Pm-3n AlH3 Under High Pressure: A First-Principles Study
Pugeng Hou, Francesco Belli, Raffaello Bianco +1
Motivated by the absence of experimental superconductivity in the metallic Pm-3n phase of AlH3 despite the predictions, we reanalyze its vibrational and superconducting properties…