- Advanced DC-DC Converters
- Multilevel Inverters and Converters
- Advanced Battery Technologies Research
- Microgrid Control and Optimization
- Photovoltaic System Optimization Techniques
- Silicon Carbide Semiconductor Technologies
- Wireless Power Transfer Systems
- Sensorless Control of Electric Motors
- Advancements in Battery Materials
- Electric Motor Design and Analysis
- Islanding Detection in Power Systems
- Real-time simulation and control systems
- Supercapacitor Materials and Fabrication
- solar cell performance optimization
- Induction Heating and Inverter Technology
- Electric Vehicles and Infrastructure
- Power Quality and Harmonics
- Smart Grid Energy Management
- Advanced battery technologies research
- HVDC Systems and Fault Protection
- GaN-based semiconductor devices and materials
- Power Transformer Diagnostics and Insulation
- Hybrid Renewable Energy Systems
- Energy Harvesting in Wireless Networks
- Solar Radiation and Photovoltaics
University of Nottingham Ningbo China
2021-2025
Kiel University
2025
Universiti Tenaga Nasional
2014-2024
Institute of Power Engineering
2018
Universiti Malaysia Pahang Al-Sultan Abdullah
2013
Tokyo Institute of Technology
2008-2010
This paper describes the design and performance of a 6-kW, full-bridge, bidirectional isolated dc-dc converter using 20-kHz transformer for 53.2-V, 2-kWh lithium-ion (Li-ion) battery energy storage system. The dc voltage at high-voltage side is controlled from 305 to 355 V, as low-voltage (LVS) varies 50 59 V. maximal efficiency measured be 96.0% during charging, 96.9% discharging. Moreover, this analyzes effect unavoidable dc-bias currents on magnetic-flux saturation transformer. Finally,...
Recently, electric vehicle (EV) technology has received massive attention worldwide due to its improved performance efficiency and significant contributions addressing carbon emission problems. In line with that, EVs could play a vital role in achieving sustainable development goals (SDGs). However, face some challenges such as battery health degradation, management complexities, power electronics integration, appropriate charging strategies. Therefore, further investigation is essential...
Particle swarm optimization (PSO) is envisioned as potential solution to overcome maximum power point tracking (MPPT) problems. Nevertheless, conventional PSO suffers from large transient oscillation, slow convergence and tedious parameter tuning when global MPP (GMPP) under partial shading conditions (PSC), leading poor efficiency significant loss. Therefore, a modified hybridized with adaptive local search (MPSO-HALS) designed robust, real-time MPPT algorithm. A initialization scheme that...
Energy storage systems have been widely applied in power distribution sectors as well renewable energy sources to ensure uninterruptible supply. This paper proposes a modified model predictive control (MMPC) method based on the Lyapunov function improve performance of bidirectional ac-dc converter, which is used an system for transfer between three-phase ac voltage supply and devices. The proposed technique utilizes discrete behavior considering unavoidable quantization errors controller...
This paper describes the design, construction, and testing of a 750-V 100-kW 20-kHz bidirectional isolated dual-active-bridge dc-dc converter using four 1.2-kV 400-A SiC-MOSFET/SBD dual modules. The maximum conversion efficiency from dc-input to dc-output terminals is accurately measured be as high 98.7% at 42-kW operation. overall power loss rated-power (100 kW) operation, excluding gate-drive control circuit losses, divided into conduction switching losses produced by SiC modules, iron...
Hourly global solar irradiance (GSR) data are required for sizing, planning, and modeling of photovoltaic farms. However, operating controlling such farms exposed to varying environmental conditions, as fast passing clouds, necessitates GSR be available very short time intervals. Classical backpropagation neural networks do not perform satisfactorily when predicting parameters within This paper proposes a hybrid based on particle swarm optimization. The algorithm is used an optimization the...
Electric vehicles (EVs) have received widespread attention in the automotive industry as most promising solution for lowering CO2 emissions and mitigating worldwide environmental concerns. However, effectiveness of EVs can be affected due to battery health degradation performance deterioration with lifespan. Therefore, an advanced smart management technology is essential accurate state estimation, charge balancing, thermal management, fault diagnosis enhancing safety reliability well...
Electric double-layer capacitors (EDLCs) have attributes that feature high power density, quick charge/discharge time, long life cycle, and environmental friendliness. These accord for increased appeal in employing the EDLCs as energy-storage devices renewable energy systems, industrial applications, hybrid electric vehicles compared to other mature static devices. This paper describes construction of a 320-V, 12-F EDLC bank connected bidirectional isolated dc-dc converter. Two types...
A bidirectional isolated dc-dc converter manages the power flow between an energy storage device and a dc bus with functions of galvanic isolation voltage matching. Research development these converters focus on improving efficiency density. This paper presents compares various configurations converters. It also illustrates performance 6-kW, full-bridge, operating at 4 kHz, which is suitable for output leveling photovoltaic generation systems connected to homes office buildings. The maximum...
The main objective of this study is to develop a quantum-behaved lightening search algorithm (QLSA) improve the indirect field-oriented fuzzy-proportional-integral (PI) controller technique control three-phase induction motor (TIM) drive. generated adaptive PI current parameters and fuzzy membership functions are carried design drive speed minimize fitness function formulated by QLSA. An optimal QLSA-based (QLSA-IFOC) used reduce mean absolute error rotor performance TIM with varying...
Partial shading conditions (PSCs) significantly impact the performance of photovoltaic (PV) systems, causing complex I-V and P-V characteristics with multiple peaks that challenge maximum power point tracking (MPPT) algorithms. This paper presents a computational efficient, flexible robust numerical model capable to emulate PV string peaks. The will be integrated into DC-DC buck converter PI-controlled closed-loop system. is based on single diode equivalent circuit output good accuracy,...
The operation and efficiency of isolated DC-DC converters, critical components in solid-state transformers, are significantly impacted by leakage inductance high-frequency transformers (HFTs). Different converters have varying demands regarding inductance, ranging from precise control to minimal inductance. For instance, the performance bidirectional (BIDCs) resonant is dependent on for delivery power. This study proposed a method altering winding configuration. technique involved...
This paper presents a model predictive control algorithm of three-phase bidirectional AC-DC converter that can be used for V2G and G2V applications. utilizes the discrete behaviour to determine appropriate switching states minimize cost function. The proposed scheme allows power transfer with instantaneous mode changing capability fast dynamic response. also results simulated MATLAB/Simulink further validated 1.5 kW experimental set-up confirm feasibility scheme. Both simulation prove is...
Model predictive control (MPC) is a powerful and emerging algorithm in the field of power converters energy conversion systems. This paper proposes model to flow between high-voltage low-voltage DC buses bidirectional isolated full-bridge DC–DC converter. The utilises discrete nature predicts future system, which are compared with references calculate cost function. switching state that minimises function selected for firing converter next sampling time period. proposed MPC simulated...
This paper presents theoretical and experimental discussions on low-voltage-ride-through operation of a modular multilevel single-delta bridge-cell (SDBC) inverter intended for utility-scale photovoltaic (PV) systems. Modern grid codes require grid-tied inverters to provide dynamic support during grid-fault events by injecting reactive current. discusses decoupled positive- negative-sequence reactive-current control, focusing asymmetric voltage sags with imbalanced magnitude phase...
Large-scale integration of renewable generation interfaced to the network through power electronic converters has led drastic changes in system dynamics. In islanded microgrids or weak grids, different control concepts for synchronization have been proposed provide virtual inertia and improve their resilience against transient events, ensuring safe operation without heavy redundant design. The complexity these power-related algorithms interaction with inner loops causes problems frequency...
The development of efficient energy management for nanogrid (NG) systems, while reducing both the carbon dioxide (CO <sub xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">2</sub> ) emissions and power generation cost, is achievable through effective utilization available sources. This paper proposes a multi-objective optimal strategy grid-connected NG which incorporates PV arrays battery storage devices (BSDs), to reduce operating costs CO emission...
In this paper, a review of existing wireless power transfer solutions used in electric vehicle battery charger are provided. The different levels discussed based on the recommended practice by SAE J-113. concept for each solution is reviewed and evaluated considering performance charger, electronic limitations circuit topologies. Furthermore, credits disadvantages technologies, compensation electronics requirement compared detail. Finally, proposed topology resonant inductive charging presented.
This paper investigates an improved active-front-end (AFE) rectifier using model predictive control. The control (MPC) algorithm utilizes the discrete behavior of power converter to determine appropriate switching states by defining a cost function. performance AFE has been verified with 3.0 kW experimental setup which shows that efficiency MPC controlled AFE-rectifier is 96.82% and operated acceptable THD (4.0%) input current very low DC voltage ripple. An comparison performed between...