A5100408193- Smart Grid and Power Systems
- Power Systems and Technologies
- Energy Load and Power Forecasting
- Complex Network Analysis Techniques
- Microgrid Control and Optimization
- Silicon Carbide Semiconductor Technologies
- Power Systems and Renewable Energy
- Power System Reliability and Maintenance
- Video Coding and Compression Technologies
- Mobile Ad Hoc Networks
- Optimal Power Flow Distribution
- Opinion Dynamics and Social Influence
- Image and Video Quality Assessment
- Technology and Security Systems
- Power Systems Fault Detection
- Smart Grid Energy Management
- Advanced Data Compression Techniques
- Cooperative Communication and Network Coding
- Opportunistic and Delay-Tolerant Networks
- Image Enhancement Techniques
- Integrated Energy Systems Optimization
- Thin-Film Transistor Technologies
- Embedded Systems and FPGA Design
- Electric Power System Optimization
- Advanced Image Processing Techniques
Wuhan University
2016-2025
China Academy of Information and Communications Technology
2024
Dalian University of Technology
2024
Ningxia University
2022-2024
Tianneng Power (China)
2024
Xi'an Jiaotong University
2013-2024
State Key Laboratory of Information Engineering in Surveying Mapping and Remote Sensing
2021-2023
Chongqing University
2023
Sichuan Agricultural University
2023
Tiangong University
2023
In this paper, an online power system transient stability assessment (TSA) problem is mapped as a two-class classification and novel data mining algorithm the core vector machine (CVM) proposed to solve based on phasor measurement units (PMUs) big data. First of all, offline training, application framework proposed, which contained four sub-steps, namely features selection, application, evaluation. First, 24 are selected present status. Then in training procedure, PMU generated by time...
The multienergy interaction characteristic of regional integrated energy systems can greatly improve the efficiency utilization. This paper proposes an prediction strategy for information in from perspective horizontal and vertical interaction. Firstly, coupling correlation system is analyzed, mode are proposed. Then, based on long short‐term memory depth neural network time series prediction, parallel multitask learning model established to achieve among user‐driven behavioral data between...
A novel intelligent hybrid model is proposed in this paper for accurate prediction and modeling of solar power plants using the wavelet transform package (WTP) generative adversarial networks (GANs). In model, deployed decomposing energy signal into sub-harmonics followed by statistical feature selection analyses. The GAN as a deep learning approach each sub-frequency predicting future short-time window. Due to high complexity irradiance data when training, an evolutionary algorithm based on...
High-precision day-ahead short-term photovoltaic (PV) output forecasting is essential in PV integration to the smart distribution networks and multi-energy system, provides foundation for security, stability, economic operation of systems. This paper proposes a hybrid model based on principal component analysis, grey wolf optimization generalized regression neural network (PCA-GWO-GRNN) forecasting, considering features multiple influencing factors strong uncertainty. first uses PCA reduce...
The uncertainty of distributed energy generation and the risk system components failure are important means to ameliorate economy reliability Active Distribution Network (ADN). In this paper, a two-stage optimal scheduling method for ADN considering is proposed. Considering renewable resources, load electricity price, component failure, dispatching process with storage investigated. Firstly, first stage model established minimize cost operation under normal conditions, then second reduction...
With the increasing scale of power system, penetration renewable energy, and uncertainty factors, traditional reliability evaluation methods based on Monte Carlo simulation have greatly reduced computational efficiency in complex systems cannot meet requirements real-time rapid evaluation. This article proposes a hybrid data-driven strategy to achieve assessment grid two levels: offline training online Firstly, this derives explicit analytical expressions for indicators component parameters,...
Faced with the tight coupling of multi energy sources, interaction between different supply systems makes it difficult for integrated (IES) to identify weak nodes. Based on analysis data generated by actual operation IES, this paper proposes a node identification method based random matrix theory (RMT). First, establish unified power flow model IES. Secondly. introduce RMT and characteristics nodes, without considering detailed physical system, using historical real-time construct matrix....
Aiming at the accuracy of modeling in existing integrated energy system planning methods, a comprehensive p lanning method that takes into account actual operating efficiency is proposed. First, output model various equipment units based on basic structure established. Then, traditional hub model, correction for work to construct an improved dynamic With goal minimizing cost system, operation characteristics Finally, proposed this paper verified through simulation. The results show that:...
With the increasing demand for electrical reliability, power grid companies often need to operate urban underground cable systems at flexible ratings during planned or emergency events, but risk of failure caused by such loading operations has not yet been quantified. Based on this, this paper proposes a reliability assessment method cables based dual sequence Monte Carlo simulation, which can consider cumulative impact faults and insulation aging events. Firstly, integration thermal design...
Ancillary services are critical to maintaining the safe and stable operation of power systems that contain a high penetration level renewable energy resources. As high-quality regulation resource, regional integrated system (RIES) with storage (ESS) can effectively adjust non-negligible frequency offset caused by integration into system, help solve problem stability. In this paper, optimization model aiming at as participant in market based on pay-for-performance is established. Meanwhile...
Humans are blessed with the intelligence to create links, develop semantic metaphors and models for reasoning; construct rules decision making; form bounded loops interaction, socialization knowledge sharing. But machines inadequate these extraordinary abilities rather, numerous algorithms mathematical can be used connect physical resources cyberspaces control objects and, cognitive learning optimal making. Connected users devices in closed virtual proximity give direction towards plethora...
Abstract Summary: The size and concentration of free‐volume holes two kinds montmorillonite (MMT)/styrene‐butadiene rubber (SBR) nanocomposites were investigated by positron annihilation lifetime spectroscopy (PALS). Strong interfacial interaction caused an apparent reduction the fraction probably depressing formation in region. Interfacial MMT/SBR was weaker than that SBR filled with carbon black. Dependence normalized o‐Ps intensity four composites on filler volume fraction. image