A new combined extreme learning machine variable steepest gradient ascent MPPT for PV system based on optimized PI-FOI cascade controller under uniform and partial shading conditions

2020 ◽  
Vol 42 ◽  
pp. 100859
Author(s):  
Manoja Kumar Behera ◽  
Lalit Chandra Saikia
Keyword(s):  
Extreme Learning Machine ◽  
Pv System ◽  
Partial Shading ◽  
Gradient Ascent ◽  
Learning Machine

A MPPT Control Algorithm Based on Extreme Learning Machine in PV System

2013 ◽  
Vol 791-793 ◽  
pp. 1214-1219
Author(s):  
Jie Wang ◽  
Kai Zhang
Keyword(s):  
Light Intensity ◽  
Extreme Learning Machine ◽  
Photovoltaic Cells ◽  
Maximum Power ◽  
Photovoltaic System ◽  
Intensity Change ◽  
Pv System ◽  
Maximum Power Point ◽  
Learning Machine ◽  
Power Point

At present, there are many commonly used maximum power point tracking (MPPT) control methods for solar photovoltaic system which have different degrees of output fluctuations. In order to solve the problem and improve the response speed further, a novel MPPT algorithm based on the extreme learning machine was put forward in this paper. Using the extreme learning machine which has small error, fast speed and simple structure train a mathematical model with the environmental temperature and light intensity as input and the maximum power point as output, the model can be used as the controller of the photovoltaic cells. The simulation results show that the error of the model meets the requirements, when the ambient temperature and light intensity change, it can respond quickly so as to photovoltaic cells work at the maximum power point and operate stably.

Sistema Híbrido Baseado Em Extreme Learning Machine E Harmony Search

2016 ◽  
Author(s):  
Edgar Wellington Marques de Almeida ◽  
Mêuser Jorge da Silva Valença
Keyword(s):  
Extreme Learning Machine ◽  
Harmony Search ◽  
Learning Machine
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