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Enhanced MPPT method based on ANN-assisted sequential Monte–Carlo and quickest change detection

Content Provider	IET Digital Library
Author	Chen, Leian Wang, Xiaodong
Abstract	The performance of a photovoltaic system is subject to varying environmental conditions, and it becomes more challenging to track the maximum power point (MPP) and maintain the optimal performance when partial shading occurs. In this study, an enhanced MPP tracking (MPPT) method is proposed utilising the state estimation by the sequential Monte–Carlo (SMC) filtering, which is assisted by the prediction of MPP via an artificial neural network (ANN). A state-space model for the sequential estimation of MPP is proposed in the framework of incremental conductance MPPT approach, and the ANN model based on the observed voltage and current or irradiance data predicts the global MPP to refine the estimation by SMC. Moreover, a quick irradiance change detection method is applied, such that the SMC-based MPPT method resorts to the assistance from ANN only when partial shading is detected. Simulation results show that the proposed enhanced MPPT method achieves high efficiency and is robust to rapid irradiance change.
Starting Page	635
Ending Page	644
Page Count	10
Volume Number	2
e-ISSN	25152947
Issue Number	Issue 4, Dec (2019)
Alternate Webpage(s)	https://digital-library.theiet.org/content/journals/iet-stg/2/4
Alternate Webpage(s)	https://digital-library.theiet.org/content/journals/10.1049/iet-stg.2019.0012
Journal	IET Smart Grid
Publisher	The Institution of Engineering and Technology
Publisher Date	2019-08-07
Access Restriction	Open
Rights License	Creative Commons Attribution -Non Commercial License (http://creativecommons.org/licenses/by-nc/3.0/)
Subject Keyword	ANN Model Artificial Neural Network Enhanced MPP Tracking Method Enhanced MPPT Method Environmental Condition Global MPP Incremental Conductance MPPT Approach Irradiance Data Maximum Power Point Maximum Power Point Trackers Monte Carlo Method Neural Computing Technique Neural Nets Observed Voltage Optimal Performance Optimisation Technique Partial Shading Perturbation Technique Photovoltaic Power System Photovoltaic System Quick Irradiance Change Detection Method Quickest Change Detection Rapid Irradiance Change Sequential Estimation Sequential Monte–Carlo Filtering SMC-based MPPT Method Resorts Solar Power Stations State Estimation State-Space Model
Content Type	Text
Resource Type	Article

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