A5102008571- Smart Grid Energy Management
- Microgrid Control and Optimization
- Optimal Power Flow Distribution
- Integrated Energy Systems Optimization
- Electric Power System Optimization
- Energy Load and Power Forecasting
- Smart Grid Security and Resilience
- Hybrid Renewable Energy Systems
- Green IT and Sustainability
- Infrastructure Resilience and Vulnerability Analysis
- Ferroelectric and Negative Capacitance Devices
- Islanding Detection in Power Systems
- Power Systems Fault Detection
- Advanced Memory and Neural Computing
- Power Quality and Harmonics
- Power System Reliability and Maintenance
- Power System Optimization and Stability
- Network Security and Intrusion Detection
- Semiconductor materials and devices
- Energy Efficiency and Management
- Polymer-Based Agricultural Enhancements
- Internet Traffic Analysis and Secure E-voting
- Thermochemical Biomass Conversion Processes
- Biodiesel Production and Applications
- Power Line Communications and Noise
University of Electronic Science and Technology of China
2022-2024
Shandong University of Technology
2016-2021
Institute of Microelectronics
2019
Peking University
2019
For the brain-inspired neuromorphic computing, various emerging memory devices, including FeFET, have been applied to develop artificial synapses, while neurons are still mostly CMOS-implemented and suffer from high-hardware-cost issue, especially when expanding advanced functions. In this work, a novel leaky-FeFET (L-FeFET) based on partially crystallized Hf <sub xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">0.5</sub> Zr O...
This letter presents a meta-learning based voltage control strategy for renewable energy integrated active distribution network. The multiple interference self-supervised method is first applied to extract features from unlabeled data. Then, an efficient channel attention convolutional neural network adopted select targeted information that most related topology change the and induce knowledge transfer update strategy. allows proposed learn novel when only limited data are available new...
As the access rate of wind energy in a power system has significantly increased, stabilizing become challenging. Among these challenges, low-frequency oscillation is one most harmful problems, effectively resolved by adding damping controller according to relevant properties oscillation. However, often fails adapt constantly changing owing lack targeted dynamic change strategy. Thus, address this issue, an adaptive stabilization strategy that uses static var compensator with additional...
Major power outages emergencies (MPOEs) are increasingly occurring with greater frequency and wreaking havoc, necessitating the effective decision-making for electricity rationing to mitigate economic losses incurred maintain social stability. To address this issue, paper proposes an efficient fair model under MPOEs, including two methods quantify efficiency fairness of rationing. Firstly, inoperability inputoutput is employed by assessing business interruption costs caused MPOEs. Secondly,...
To realize the economic optimization dispatch of PSMG (Photovoltaic Storage Micro-grid), considering stochastic influence multiple uncertainties, this study formulates a day-ahead optimal dispatching strategy with minimum comprehensive operating cost as objective function. Firstly, source-load uncertainty is dealt by scenario generation using Monte Carlo method and k-means clustering algorithm. Then peak shaving ability system enhanced introduction flexible loads, scheduling flexibility...
The objective of this study was to maximize the biofuel content water hyacinth obtained from microwave pyrolysis of. Box-Behnkenof response surface methodology applied for experimental design. Under optimal condition: 1110W power, 3.5m reaction time, 2% amount absorbent, maximum 20.17%.
In order to cope with the increasingly serious energy shortage, system towards "zero carbon" is undoubtedly basis for alleviating shortages. This study innovative proposes a two-layer planning model integrating sizing and operation optimization, zero carbon emission revenue as target, relying on Particle Swarm Optimization (PSO) Distributional Robust (DRO). The method solve problem of power station systems under uncertainty scenery output, ensure grid connection renewable premise satisfying...