A5063742874- Microgrid Control and Optimization
- Photovoltaic System Optimization Techniques
- solar cell performance optimization
- Islanding Detection in Power Systems
- HVDC Systems and Fault Protection
- Solar Radiation and Photovoltaics
- Power Systems and Renewable Energy
- Solar Thermal and Photovoltaic Systems
- Multilevel Inverters and Converters
- Advanced Battery Technologies Research
- Advanced battery technologies research
- Advanced DC-DC Converters
- High-Voltage Power Transmission Systems
- Metaheuristic Optimization Algorithms Research
- Optimal Power Flow Distribution
- Advancements in Battery Materials
- Electrocatalysts for Energy Conversion
- Supercapacitor Materials and Fabrication
- Electric Vehicles and Infrastructure
- Advanced Multi-Objective Optimization Algorithms
- Energy Load and Power Forecasting
- Evolutionary Algorithms and Applications
- Electric Power System Optimization
- Smart Grid Energy Management
- Frequency Control in Power Systems
Imperial College London
2021-2024
Chongqing University
2015-2023
King's College London
2023
University of Leeds
2017
Based on the boost full bridge isolated converter (BFBIC) topology and considering sudden changes in external environment, a global maximum power point tracking (GMPPT) control strategy based an improved gray wolf optimizer (IGWO) algorithm is proposed this paper. In strategy, nonlinear tangent trigonometric function as convergence factor integrated into (GWO) algorithm. addition, active-clamp circuit phase-shift are used to implement soft switch technology for BFBIC photovoltage (PV)...
The rational construction of efficient and low-cost electrocatalysts for the hydrogen evolution reaction (HER) is critical to seawater electrolysis. Herein, trimetallic heterostructured core-shell nanoboxes based on Prussian blue analogues (Ni-Co@Fe-Co PBA) were synthesized using an iterative coprecipitation strategy. same procedure was used preparation PBA core shell, with synthesis shell involving chemical etching during introduction ferrous ions. Due its unique structure composition,...
Electricity price is an important indicator of the market operation. Accurate prediction electricity will facilitate maximization economic benefits and reduction risks to power market. At same time, because excellent performance deep learning models, using long-short term memory neural network (LSTM) other models predict time series has gradually become a research hotspot. In this paper, optimized heterogeneous structure LSTM model proposed solve problems single hyperparameter selection...
Abstract Extreme fast charging of Ampere-hour (Ah)-scale electrochemical energy storage devices targeting times less than 10 minutes are desired to increase widespread adoption. However, this metric is difficult achieve in conventional Li-ion batteries due their inherent reaction mechanism and safety hazards at high current densities. In work, we report 1 Ah soft-package potassium-ion hybrid supercapacitors (PIHCs), which combine the merits high-energy density battery-type negative...
To overcome the real-time problem of maximum power point tracking (MPPT) for partially shaded photovoltaic (PV) systems, a novel nature-inspired MPPT controller with fast convergence and high accuracy is proposed in this paper. The achieved by combining salp swarm algorithm (SSA) grey wolf optimizer (GWO) (namely, SSA-GWO). leader structure GWO introduced into basic SSA to enhance global search capability. Numerical simulation on 13 benchmark functions was done evaluate SSA-GWO algorithm....
Abstract Lattice‐strained Bi 2 S 3 with 3D hierarchical structures are prepared through a top‐down route by topotactic transformation. High‐resolution transmission electron microscopy and X‐ray diffraction (XRD) confirm the lattice spacing is expanded prolonged sulfuration. Performance studies demonstrate that largest expansion (Bi ‐9.7%, where 9.7% represents expansion) exhibits greater electrocatalytic hydrogen evolution reaction (HER) activity compared to ‐3.2%. Density functional theory...
Due to the non-linear characteristics I–V of photovoltaic (PV) curve, tracking maximum power point (MPP) under partial shading (PS) conditions can sometimes be a challenging task. This paper presents modified artificial fish swarm algorithm (AFSA) for MPP (MPPT) in PV modules PS. In this algorithm, AFSA optimized by particle optimization (PSO) with extended memory (PSOEM-FSA) is improved hybridizing it adaptive visual and step, resulting comprehensive improvement on (abbreviated as CIAFSA)....
Phase compensated proportional resonant (PR) controllers with phase leading angles embedded into controllers, are used to improve the system stability, when grid-connected inverter is connected a weak grid large impedance. However, an inappropriate angle will cause obvious anti-peak in magnitude response of PR controller. Thus, should be selected carefully. The conventional compensation (CPC) method for selecting can maximize margin, but at expense peaks sensitivity transfer function....
Data-driven modeling is one of the research hotspots photovoltaic (PV) power prediction. However, for some newly built PV plants, there are not enough historical data to train an accurate model. Therefore, constructing a forecasting model plants lacking urgent problem be solved. In this paper, we propose method transfer knowledge obtained from solar irradiance output Firstly, based on data, hyperparameters long short-term memory neural network (LSTM) optimized and weights in neurons...
The emerging of single‐atom catalysts (SACs) offers a great opportunity for the development advanced energy storage and conversion devices due to their excellent activity durability, but actual mass production high‐loading SACs is still challenging. Herein, facile green boron acid (H 3 BO )‐assisted pyrolysis strategy put forward synthesize by only using chitosan, cobalt salt H as precursor, effect deeply investigated. results show that molten oxide derived from ideal high‐temperature...
As a part of the global decarbonization agenda, electrification transport sector involving large-scale integration electric vehicles (EV) constitutes one key initiatives. However, potential EV cannot be exploited without appropriate incentive and coordination. Deep reinforcement learning (DRL) well-suited model-free data-driven framework to coordinate EV's charging decisions. Its real-world application facing multiple uncertainties is still challenging, due limited interaction efficiency...
Countries around the world are actively promoting low-carbon transformation of energy system, and renewable represented by solar photovoltaic (PV) power generation will occupy a greater proportion system. The PV is characterized randomness volatility, so an storage system (ESS) needed for smooth control fluctuating to improve quality electric stability First all, through comparative analysis various technologies, this paper finds that battery-supercapacitor hybrid (HESS) has both...
This article presents a novel configuration for unified power flow controller (UPFC) comprising modular multilevel cascaded converter (MMCC) with full-bridge inverter. The MMCC has one end of each phase-leg shunt-connected to the transmission line. other connects in parallel primary terminals series line transformer, and ac output dc–ac submodules are flying capacitor converters. UPFC is compared another type MMCC-UPFC which uses double-star configuration, half-bridge chopper type; this...
Long-distance power transmission makes a large-scale centralized photovoltaic (PV) plant (CPPP) integrated into weak grid with low short circuit ratio. Under this condition, small fluctuations in PV are likely to cause significant system-wide voltage. To overcome problem, novel CPPP Volt-Var control (VVC) strategy is proposed. Unlike the conventional VVC achieved manner, realization of proposed mainly based on decentralized communication. The framework for has two tiers. In upper-tier...
Herein, a facile and efficient synthesis of microstructured Co3 O4 for both supercapacitor water-splitting applications is reported. Metal cations (Fe3+ , Cu2+ ) serve as structure-directing agents regulating the structure Co compounds, which are subsequently annealed to yield . Detailed characterizations density functional theory (DFT) calculations reveal that in situ Cl-doping introduces oxygen defects provides abundant electroactive sites, narrows bandgap, enhances electron excitation...
The power-voltage (P-V) characteristic curves of a PV array are nonlinear and have multiple peaks under partially shaded conditions (PSCs). This paper proposes novel maximum power point tracking (MPPT) method for system with reduced steady-state oscillation based on two-stage particle swarm optimization (PSO) algorithm. grouping the shuffled frog leaping algorithm (SFLA) is incorporated in basic PSO (PSO-SFLA), ensuring fast accurate searching global extremum. An adaptive speed factor also...
In the case of partially shading PV array would appear multi-peak characteristics P-U curve, and it is difficult to track maximum power point with conventional method. Therefore, this paper proposes an improved variable step PO (perturb observe) Global scanning method (VSPO&GS) achieve tracking. This algorithm guaranteed not fall into local optimum, make oscillation less. scheme divided two steps: 1) The size used 2) Then global obtain optimum. Finally, proposed compared a fixed validated...
Purpose – The purpose of this paper is to solve the problem that standard particle swarm optimization (PSO) algorithm has a low success rate when applied multi-dimensional and multi-extreme value functions, authors would introduce extended memory factor PSO algorithm. Furthermore, aims improve convergence precision basic artificial fish (FSA), novel FSA optimized by with (PSOEM-FSA) proposed. Design/methodology/approach In PSOEM-FSA, for introduced store each particle’ historical information...