A5005524691- Photovoltaic System Optimization Techniques
- Solar Thermal and Photovoltaic Systems
- solar cell performance optimization
- Solar Radiation and Photovoltaics
- Economic and Technological Systems Analysis
- Smart Grid Security and Resilience
- Magnetic Field Sensors Techniques
- Advanced Measurement and Detection Methods
- Energy Efficient Wireless Sensor Networks
- Power Systems and Renewable Energy
- Extremum Seeking Control Systems
- Power Line Inspection Robots
- Magnetic Bearings and Levitation Dynamics
- Software-Defined Networks and 5G
- Network Time Synchronization Technologies
- Electric Motor Design and Analysis
- Digital Transformation in Industry
- IoT and Edge/Fog Computing
- Advanced Algorithms and Applications
- Islanding Detection in Power Systems
Shenzhen Stock Exchange
2023-2024
Tianjin University
2016-2019
State Grid Corporation of China (China)
2017
Under partial shading conditions (PSCs), multiple local maximum power points (MPPs) may be exhibited on the P-U curve of photovoltaic systems. Direct control (DIRC) methods cannot extract global MPP (GMPP); soft computing techniques can achieve it but are time consuming. This paper proposes a novel hybrid point tracking (MPPT) algorithm (INC-FA) combining incremental conductance (INC) and firefly (FA) to better adaptability in various environments. INC is widely used because its low-cost...
Under partial shading conditions, the power–voltage (P-U) curve may exhibit multiple local maxima. This makes it challenging to track global maximum power point (GMPP). Additionally, in such conventional tracking (MPPT) methods cannot be used extract GMPP. paper describes a modified firefly algorithm (MFA) that can rapidly and accurately GMPP under conditions. The introduces concepts of densities during each iteration, devises two elimination mechanisms adaptively adjust population. proposed...
The sliding mode extremum seeking control (SMESC) could track the maximum power point (MPP) of wind energy conversion system (WECS) without speed or turbine parameters. Inappropriate SMESC parameters would cause steady-state oscillation and increase tracking time. This paper proposed an improved invasive weed optimization (IIWO) to optimize algorithm developed a new stochastic reproductive strategy enhance its robustness simplify coding. Meanwhile, IIWO optimized double coordinately replace...