- Advanced Battery Technologies Research
- Electric Vehicles and Infrastructure
- Transportation and Mobility Innovations
- Wireless Power Transfer Systems
- Power Systems and Renewable Energy
- Energy Harvesting in Wireless Networks
- Radioactivity and Radon Measurements
- Advanced DC-DC Converters
- Geochemistry and Geologic Mapping
- Complex Systems and Time Series Analysis
- Soil Geostatistics and Mapping
- Power Systems and Technologies
- Neural dynamics and brain function
- Vehicle emissions and performance
- Functional Brain Connectivity Studies
- Stock Market Forecasting Methods
- HVDC Systems and Fault Protection
- Smart Grid Security and Resilience
- Wireless Signal Modulation Classification
- Atmospheric and Environmental Gas Dynamics
- High-Voltage Power Transmission Systems
- Oil and Gas Production Techniques
- Air Quality and Health Impacts
- Optimal Power Flow Distribution
- Advanced Machining and Optimization Techniques
Xi'an University of Technology
2022-2025
Xi'an Jiaotong University
2016-2024
Tianjin Research Institute of Electric Science (China)
2023
State Grid Corporation of China (China)
2023
University College London
2023
China University of Petroleum, Beijing
2022
Zhejiang Normal University
2020-2021
University of Maryland, College Park
2019-2021
Xingzhi College Zhejiang Normal University
2020
Qinghai University for Nationalities
2017
Abstract Salinity effects on microbial communities in saline soils is still unclear, and little known about subsurface soil especially or hypersaline ecosystems. Here we presented the survey of prokaryotic community along a salinity gradient (17.3–148.3 dS/m) surface (0–10 cm) (15–30 Qarhan Salt Lake, China. Moreover, compared them with three paired nonsaline normal soils. Using high-throughput sequencing technology several statistical methods, observed no significant difference between For...
It is well known that loads of inductive power transfer systems are often energy storage devices. The major benefit an LCC–LCC compensation topology without the additional elements and control methods, load-independent constant current (CC) voltage (CV) outputs, required by load, can be achieved at different resonant frequencies. However, misalignment between two coils transmitting receiving sides inevitable lead to variation frequency in CC or CV output. Therefore, a unique design approach...
For the double-sided inductor–capacitor–capacitor (DS-LCC) compensation topology, parametric deviation of elements results in mismatch between resonant frequency and operating frequency. Furthermore, this leads to loss load-independent constant output characteristics. Therefore, an innovative design approach based on reduction capacitance ratio is proposed attain current under deviation. With presented method, simply by reducing capacitor ratio, characteristics can be preserved, fluctuations...
Working with audio data has been a machine learning issue that received relatively little attention. With the fast emerging of and deep algorithms, benchmarks for most recent groundbreaking research are frequently determined by how well it performs on text image data. Additionally, models use graphics where made biggest strides. Speech audio, equally significant types, ignored in this. Audio many uses daily life, ranging from converting spoken words to text, live translation, employing music...
This paper proposes an approach to optimize the parameters of DC voltage droop control. The objective is minimizing sum ITAE(integral time-weighted absolute value error) voltage, active power and reactive VSC(voltage sourced converter). simplex algorithm adopted solve this problem. initial values control are known, as well other parameters. At last, a three-terminal MTDC(multi-terminal direct current tramsimission) set in PSCAD test effective optimization algorithm.
A data fusion method for the estimation of residential radon level distribution in any Pennsylvania county is proposed. The based on a multisample density ratio model with variable tilts and applied to combined from reference interest its neighboring counties. Beaver four immediate neighbors are taken as case point. concentration estimated each six periods, then analysis repeated combining all periods obtain estimates threshold probabilities corresponding confidence intervals.
Abstract Fitting parametric models or the use of empirical cumulative distribution function are problematic when it comes to estimation tail probabilities from small samples. A possible remedy is fuse combine samples with additional data external sources and base inference on so called density ratio model variable tilt functions, which widens support estimated interest. This approach illustrated using residential radon concentration collected western Pennsylvania.
Abstract Efficient development of tight reservoirs often relies on complex-hydraulic-fracture-network. Due to the time repeated iteration for simulation, (semi)-analytical model or fully-numerical requires a trade-off especially accuracy production analysis. Hence, comprehensive accelerating matching needs be established. In this paper, neighboring-long-short-term-memory (n-LSTM) model, integrated with complex fracture semi-analytical flow can make performance analysis high efficiency. The...
<title>Abstract</title> To implement stable output current and zero-voltage switching(ZVS) with the minimum reactive over a range of load coupling coefficient for double-sided LCC(DS-LCC) compensated inductive power transfer(IPT) system, hybrid phase shift control switched controllable capacitor(SCC) strategy is proposed in this paper. In strategy, can be regulated through modulation, lowered by SCC. Most importantly, simplification enhancement function between angle SCC associated...
Abstract With the increasing penetration rate of electric vehicles, their charging is random and intermittent in space time, which put forward higher requirements for safe, stable operation power quality grid. The information flow energy exist at same time vehicle pile network linkage, degree integration three also getting higher. Based on hierarchical architecture cyber-physical system, fusion model V2G established, helpful to study relevant strategies minimize impact discharging main
For double-sided LCC compensation topology, it is not easy to maintain the output current and voltage constant over variation of coupling coefficient load. Consequently, in this article, a unique design approach presented. With presented method, whether during procedure or procedure, resonant frequency maintains cannot be affected by load condition. In addition, transmission gain kept different misalignment phase shift modulation. Zero switching with minimum reactive can implemented...
The goal of maintaining system operation stability, improving reliability and reducing loss in DC distribution can be achieved through optimal power flow (OPF). Firstly, a multi-objective OPF model targeting on total fault rate is established with consideration constrains including converter capacity, safety the charge-discharge energy storage devices. optimization converted into single objective using lexicographically stratified method, then it's solved effectively by second-order cone...
To solve the problem of waviness on end surface transmission housing, LabVIEW platform was adopted with help acceleration sensors and PCI (peripheral component interconnect) acquisition card. The vibration frequency range distribution housing in excitation response determined using finite element modal analysis harmonic analysis. Then layout stiffener optimized combining actual processing diagnostic test. In this way, characteristics could be improved machining process, offset to natural...
Environmental researchers, as well epidemiologists, often encounter the problem of determining probability exceeding a high threshold variable interest based on observations that are much smaller than threshold. Moreover, data available for task may only be moderate size. This generic is addressed by repeatedly fusing real numerous times with synthetic computer-generated samples. The approximated certain subsequences created an iterative algorithm gives precise estimates. method illustrated...
The rapid development of social economy leads to the improvement people's quality life, and transportation network industrial technology promotes growth domestic automobile industry. Users are no longer limited considering vehicle power, driving safety fuel when buying cars, but also pay more attention maneuverability shift comfort. At present, is not comprehensive characteristics test evaluation development, subjective method cannot determine specific factors affecting quality, greatly...
Abstract The number of electric vehicles (EVs) is increasing daily, and the charging demand for large-scale EVs has a greater impact on distribution network, so it urgent to study cooperative interaction optimization strategy “EV-charging station-distribution grid.” In this paper, we take load in regional network as research object. We establish multi-intelligence reinforcement learning-based between grid obtain optimal decision minimize peak-to-valley difference user-side economy grid-side...
Abstract As a new type of flexible load, the charging behavior electric vehicles is random and intermittent in space time, which puts forward higher requirements for safe, stable grid operation power quality. When large-scale vehicle load connected to grid, its disordered will also bring adverse effects system. From perspective behavior, gradual increase devices such as piles have formed Internet Electric Vehicles, distribution network, equipment Things. At same more loads are contains lot...
In order to alleviate the "power shortage panic" phenomenon caused by lack of flexibility in use fixed charging stations, introduction mobile vehicles can effectively problem electric and improve user experience. First, we divide road network specific areas, then forecast resident traffic volume (OD) data, so as determine initial location distribution vehicles. From global optimization time vehicle at each position, ensure that energy critical sensor is fully charged. At same time, a path...
With the popularity of electric vehicles, impact vehicle charging on power grid is also growing. The planning stations not only affects user experience, but stable operation grid. By analyzing and users, as well correlation between their construction costs operating costs, problem modeled a solution under multi-objective multi constraint conditions, ADMM algorithm used to solve problem. A commercial district taken an example for analysis testing, results prove effectiveness proposed algorithm.