Publications by authors named "Tak Wai Shen"
Article Synopsis
- Photovoltaic (PV) panels are a key area of research in green energy, particularly for estimating their parameters for health monitoring and fault diagnosis.
- A new method using an artificial neural network (ANN) and particle swarm optimization (PSO) has been developed to estimate these parameters more accurately by analyzing dynamic current and voltage responses.
- Simulations demonstrate that this new approach can improve estimation accuracy by up to 3.5% and increases the speed of convergence compared to traditional methods.
Photovoltaic (PV) panels have been widely used as one of the solutions for green energy sources. Performance monitoring, fault diagnosis, and Control of Operation at Maximum Power Point (MPP) of PV panels became one of the popular research topics in the past. Model parameters could reflect the health conditions of a PV panel, and model parameter estimation can be applied to PV panel fault diagnosis.
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