- Smart Grid Security and Resilience
- Particle Accelerators and Free-Electron Lasers
- Complex Network Analysis Techniques
- Satellite Communication Systems
- Particle accelerators and beam dynamics
- Software Testing and Debugging Techniques
- Neural Networks Stability and Synchronization
- IoT and Edge/Fog Computing
- Wireless Communication Networks Research
- Power Systems and Renewable Energy
- Power System Reliability and Maintenance
- Advanced MIMO Systems Optimization
- Superconducting Materials and Applications
- Software Reliability and Analysis Research
- Smart Grid and Power Systems
- Age of Information Optimization
- Control and Stability of Dynamical Systems
- Integrated Energy Systems Optimization
- Advanced Control and Stabilization in Aerospace Systems
- Power System Optimization and Stability
- Imbalanced Data Classification Techniques
- Reliability and Maintenance Optimization
- Fire Detection and Safety Systems
- Electricity Theft Detection Techniques
- Software Engineering Research
Shenyang Aerospace University
2016-2025
Chongqing University
2021-2023
Northeastern University
2017-2022
Institute of High Energy Physics
2007
Peking University
2007
Malfunction of critical components in the power system can lead to large scale cascading failures and blackouts. Identifying taking protection on them prevent above problem effectively. In this article, investigating from sight network dynamics, a node identification method complex systems is proposed find nodes that have great influence controllability observability system. First, based electrical betweenness, directed model proposed, which solves assessment results are not accurate because...
In this article, we consider complex networks without connection information. The absence of global structure induces a great obstacle in the structural controllability analysis these networks. Thus, topology predicting method based on probability matrix is proposed to provide for article. Furthermore, modified principles network topologies are established acquire more accurate relationship. Eventually, drive node set determined by topologies. accuracy verified numerical simulations context...
Human concerns energy security and worries environmental deterioration, which makes full use of renewable energy, become a global consensus. Such solar, wind as the representative large-scale grid connected power generation with has an irresistible trend development new system, deep influence on academe engineering give great attention. The purpose paper is review domestic foreign photovoltaic research present situation, aim to explore factors affecting interaction between solar refine...
This article investigates the synchronization control issue of complex power networks with switching parameters. In order to better describe modern systems characteristics distributivity and uncertainty, we establish a mathematical model switched parameters, where dynamics intermittent sustainable energy sources flexible loads are taken into account. Motivated by practical needs for safety limitations prescribed performance node states during synchronizaiton process, further propose an...
How to calculate the probability density function (PDF) of reliability indices (RIs) in importance sampling (IS) based sequential simulation is an intractable problem not yet solved. To fill this gap, article proposes a creative PDF estimation method by combining IS continuous time Markov chain (CTMC) with kernel (KDE) technique. Firstly, cross entropy CTMC (CE-CTMC) introduced, and then analytic parameter updating rules IS-PDF are given. Secondly, using path samples generated from RI...
Traditionally, power grid vulnerability assessment methods are separated to the study of nodes and edges vulnerability, resulting in evaluation results not accurate. A framework for is still required grid. Thus, this paper proposes a universal method by establishing complex network model with uniform weight edges. The concept virtual edge introduced into distinct weighted system, selection function constructed based on electrical physical parameters. In addition, order reflect...
Airborne ground penetrating radar (GPR) can be used for detecting underground targets in dangerous area or covered by heavy vegetation. Since the back projection (BP) imaging method easily compensate electromagnetic wave's refraction effect, it a practical airborne GPR system. Nevertheless, conventional BP usually suffers from high computational load. In order to reduce complexity, an efficient algorithm based on non-uniform fast Fourier transform (NUFFT) technique is proposed this paper....
With the rapid advancement of autonomous driving technology, efficient and accurate object detection capabilities have become crucial factors in ensuring safety reliability systems. However, low-visibility environments such as hazy conditions, performance traditional algorithms often degrades significantly, failing to meet demands driving. To address this challenge, paper proposes two innovative deep learning models: YOLO-Vehicle YOLO-Vehicle-Pro. is an model tailored specifically for...
Low Earth Orbit (LEO) satellite constellations have seen significant growth and functional enhancement in recent years, which integrates various capabilities like communication, navigation, remote sensing. However, the heterogeneity of data collected by different satellites problems efficient inter-satellite collaborative computation pose obstacles to realizing potential these constellations. Existing approaches struggle with heterogeneity, varing image resolutions, need for on-orbit model...
Imbalanced data is one of the inevitable problems in electric power industrial fault diagnosis, which will affect performance classification models. Therefore, a semi-supervised variational bi-directional sampling (SVBDS) method proposed to balance dataset with data-level and feature-level combined. First, novel framework suitable for various imbalance degrees between multi classes built, corresponds real structure. This can separate normal rest sets. Second, two-step synthesis minority...
This paper studies the construction and optimal scheduling issues of energy internet power flow, considering electrical, natural gas heating integratedly. Firstly, a new data based modeling method hub is proposed, which much simpler than mechanism methods. Then working pattern proposed in this paper, on that, hybrid optimization problems studied. Finally, by constructing an integrated contains three kinds other distributed devices like CHP unit, compressors renewable generators etc.,...
In integrated cyber-physical power systems (CPPS), the malfunctions of cyber system deeply affect dispatcher's remedial action scheme, and thus have a significant impact on reliability physical system. The random failures electrical devices in outages measurement remote control are both considered for CPPS evaluation this paper. Firstly, component outage models physical, access, backbone application layers presented. Then, linearized DC state estimation (SE) model is introduced SE errors...
As one of the main research tasks in software testing, automated test case generation based on path coverage (ATCG-PC) aims to achieve maximum with a minimized set cases. In ATCG-PC, correlation among dimensions cases is widely utilized academia minimize search efforts search-based algorithm. Nevertheless, information related target selection not utilized, which leads blind decision-making by algorithm during selection. Therefore, this paper proposes an enhanced scatter strategy using...
Ensuring the control of power systems is crucial for their safe operation. This paper analyses robust controllability complex from structural sighta point view. Stressing dominant role generators in systems, we propose three kinds controllable networks by generator nodes. Additionally, satisfied conditions and relevant proof zero forcing set nodes extra are given. Besides, tThe proofs largest removable edges that have no -effect on strong also proposed. Finally, robustness IEEE 39 bus system...