- Microgrid Control and Optimization
- Smart Grid Energy Management
- Advanced Battery Technologies Research
- Advanced DC-DC Converters
- Optimal Power Flow Distribution
- Advancements in Battery Materials
- Photovoltaic System Optimization Techniques
- Advanced Memory and Neural Computing
- Neuroscience and Neural Engineering
- Wind Turbine Control Systems
- Hydraulic Fracturing and Reservoir Analysis
- Advanced Graph Neural Networks
- Multilevel Inverters and Converters
- Ferroelectric and Negative Capacitance Devices
- High-Temperature Coating Behaviors
- Enhanced Oil Recovery Techniques
- Electric Vehicles and Infrastructure
- Machine Fault Diagnosis Techniques
- Non-Destructive Testing Techniques
- Machine Learning and ELM
- Iron oxide chemistry and applications
- Electrical Fault Detection and Protection
- Building Energy and Comfort Optimization
- HVDC Systems and Fault Protection
- Innovative Energy Harvesting Technologies
State Key Laboratory of Oil and Gas Reservoir Geology and Exploitation
2024
Fudan University
2024
Hong Kong Polytechnic University
2017-2022
Huawei Technologies (China)
2022
Abstract Hard carbon (HC) has been widely regarded as the most promising anode material for sodium‐ion batteries (SIBs) due to its decent capacity and low cost. However, poor initial Coulombic efficiency (ICE) of HC seriously hinders practical application in SIBs. Herein, pyridinic N‐doped hard polyhedra with easily accessible carbonyl groups situ coupled nanotubes are rationally synthesized via a facile pretreated zeolitic imidazolate framework (ZIFs)‐carbonization strategy. The...
State-of-Charge (SOC) estimation of lithium-ion batteries have a great significance for ensuring the safety and reliability battery management systems in electrical vehicle. Deep learning method can hierarchically extract complex feature information from input data by building deep neural networks (DNNs) with multi-layer nonlinear transformations. With development graphic processing unit, training speed network is faster than before, it has been proved to be an effective data-driven estimate...
The wind-photovoltaic (PV) hybrid renewable energy system (HRES), which consists of permanent-magnet synchronous generators (PMSG) and PV arrays, is becoming a cost-effective electric source for powering islanded areas. However, high penetration renewables makes the power vulnerable to transient voltage faults, undermines stability future inverter-dominated grid. To address this issue, coordinative low-voltage-ride-through (LVRT) control scheme proposed operation wind-PV HRES in article....
In this article, a novel machine learning based data-driven pricing method is proposed for sharing rooftop photovoltaic (PV) generation and energy storage in an electrically interconnected residential building cluster (RBC). the studied problem, process modeled by leader-follower Stackelberg game where owner of PV system responsible self-generated operating ES devices. Meanwhile, local electricity consumers RBC choose their consumption with given internal prices. To track stochastic panel...
Existing foundation models, such as CLIP, aim to learn a unified embedding space for multimodal data, enabling wide range of downstream web-based applications like search, recommendation, and content classification. However, these models often overlook the inherent graph structures in datasets, where entities their relationships are crucial. Multimodal graphs (MMGs) represent each node is associated with features from different modalities, while edges capture between entities. On other hand,...
Abstract Magnetite is a redox active Fe oxide common in most soil and sedimentary environments. In this study, we investigated magnetite transformations under extreme alkaline conditions (0.1–2 mol l –1 NaOH) similar to those found high-level radioactive waste storage tanks at the Hanford site State of Washington, USA. X-ray diffraction (XRD) transmission electron microscopy (TEM) results showed that was transformed into maghemite goethite, XRD peak intensities for goethite increased with...
Memristor is a novel passive electronic element with resistance-switching dynamics. Due to the threshold property and variable conductivity of memristive element, its composite circuits are promising for implementation logic operations. In this paper, flexible circuit based on threshold-type memristor mature complementary metal-oxide-semiconductor (CMOS) technology designed realization Boolean Specifically, proposed method able perform NAND, AND, OR, NOR gate operations through two phases,...
Biology-inspired neural computing is a potential candidate for the implementation of next-generation intelligent systems. Memristor passive electrical element with resistance-switching dynamics. Owing to its natural advantages non-volatility, nanoscale geometries, and variable conductance, memristor can effectively simulate synaptic connecting strength between neurones in multilayer networks. This study presents kind synapse-based network hardware architecture suitable training methodology....
The increasing penetration of photovoltaic (PV) energy in power grids will impose system instability issues, especially the occurrence faults. However, very limited research has been conducted on low-voltage ride-through (LVRT) control PV systems distribution networks (LVDNs) with predominantly resistive line impedances. To fulfil this remaining gap, effects active current injection (ACI) grid voltage support LVDN is mathematically analysed study. Subsequently, a novel LVRT scheme for...
A novel concurrent control scheme of optimal re/active power regulation in a wind farm is proposed this letter, which the objective to minimize detrimental shortfall active during low-voltage-fault events. Distinguished from existing works, incorporates an efficient optimization module into turbine controllers. Specifically, it features merit that practical feasibility tracking resultant references can be ensured via considering multiple constraints presence complex wake interactions. Case...
Memristor is a nanoscale electronic element with variable resistance that depends on the amount and direction of charge passing through it. As promising candidate, this memristive opens up new approach for implementation Boolean logic operations. In study, flexible unit circuit (LUC) based practical memristor model proposed, which able to perform AND, OR, NOT, NOR, NAND gate operations by different switch settings. Unlike existing memristor-based implementation, initialisation not necessary...
The single-phase microinverter (SMI) is becoming one of the most cost-efficient interfaces for bridging photovoltaics (PV) and power systems. However, in maximum point tracking operation, SMI injects an intermittent active to grid, which leads voltage variations at common coupling (PCC). This certainly dampens quality grids. Besides, mismatch between dc ac terminals SMIs will render a double-line-frequency pulsating terminal, inevitably increases ratings circuit components SMIs. To address...
For the conventional configuration of single-phase electric springs, electrolytic capacitor (E-cap) is required for buffering double-line-frequency dc-link power. This demands large capacitance and constant average voltage achieving sufficiently low-voltage ripples E-cap, which renders low efficiency poor reliability ES. To address these issues, a cascaded control scheme proposed in this article. The enables fluctuations so that film (F-cap), smaller higher reliability, can be applied. In...
During the operation of commingled production wells, inter-layer interference is a key factor affecting recovery rate and flooding extraction efficiency. This study proposes well deliverability equation that characterized by multi-parameter coupled coefficient, which applied to quantify wells in multi-layer reservoir. used principal component analysis (PCA) combined effects correlation parameters for interference. The results show starting pressure gradient crude oil viscosity contrast have...
Electric springs (ES) have been reported as a distributed means to address the voltage instability issues at point of common coupling (PCC) in low-voltage distribution networks (LVDN). In research works on control methods ES, it is generally assumed that grid are predominately inductive. This assumption fundamentally flawed line impedances significantly resistive LVDN, which leads deteriorated regulation effects. To this, novel <inline-formula xmlns:mml="http://www.w3.org/1998/Math/MathML"...
With the ever-growing number of elevators coupled with aging workforce, diminishing new installations and limited use maintenance technology, it is increasingly challenging for owners responsible parties to maintain safe reliable operation lift systems. To address this issue, a non-intrusive artificial intelligence (AI) based diagnosis system, aiming at providing fault detection potential prediction multi-brand lifts without intervening existing circuitry installations, proposed in paper....
This paper proposes an advanced coordinated control scheme for low voltage ride through (LVRT) of the smart solar inverter. In MATLAB Simulink, a two-stage three-phase grid-connected converter with practical PV model is developed in several scenarios, including zero (ZVRT), which regarded as most extreme case. The simulation result indicates faster transient response and better power quality, compared previous strategies. Active fluctuation reduced reactive produced specific gradient based...
The complicated series-parallel wiring and aged insulation of photovoltaic (PV) power plants leave the system prone to PV grounding faults. resultant common ground circulating current will increase operation stress switching devices jeopardize stability. To address these problems, a comprehensive decentralized control strategy is proposed in this paper suppress currents. influence fault on stability firstly analyzed. Based equivalent form currents, designed current. Furthermore, ensure...
Intermittent renewable generations can induce voltage instability issues in terms of (i) AC bus variations and (ii) flickers microgrids, which deteriorate the power quality critical loads. To address this, electric springs with capacitive energy storages be applied to regulate voltages at points common coupling (PCCs). In this paper, a novel control method is proposed enhance regulation performances ES microgrids. The controller designed achieve concurrent compensations flickers....
Recently, single-phase power-decoupled current-source inverters (PD-CSIs) have been proposed to eliminate the use of electrolytic capacitor (E-cap) having a short lifespan. This type inverter also features high-efficiency and compact circuit design via multiplexing components. However, it is found in this article that component sharing inevitably renders coupled switching states for incorporating charging discharging phases decoupling buffers, e.g., film ceramic capacitors. The resultant...
Since the solar energy system is an effective alternative to conventional fossil fuel-based generation, research and development of its intelligent control in distributed smart grid inevitable trend power system. Although many grid-support functionalities was proposed literature, integration different still lack consideration previous research. To address it, this paper proposes advanced photovoltaic (PV) micro-inverter scheme that simultaneously contains Volt-Var control, low voltage ride...
The boost-type single-phase inverter with active power buffer can effectively reduce the use of electrolytic capacitor and extend lifetime circuits. In order to (i) mismatch between AC DC terminals (ii) regulate current, simultaneously, voltage buffering current are directly controlled, which results in inaccurate control complicated design compensators. this paper, a decoupling method, controls terminals, is proposed for inverter. With compensators become easy dynamic responses be improved....
Electric vehicles have been developing rapidly in recent years, the State-of-Charge (SOC) of lithium-ion batteries can related to safety and reliability electric vehicles. With development field machine learning, data-driven methods often use learning platforms obtain relationship between battery measurement signals SOC from them achieve accurate estimation SOC. To further explore potential estimation, an improved model using Nesterov Accelerated Gradient (NAG) algorithm based Bidirectional...