Proceedings ArticleDOI
A Solar-powered Battery Charger with Neural Network Maximum Power Point Tracking Implemented on a Low-Cost PIC-microcontroller
P. Petchjatuporn,W. Ngamkham,N. Khaehintung,P. Sirisuk,W. Kiranon +4 more
- Vol. 1, pp 507-510
Reads0
Chats0
TLDR
In this article, the authors presented the development of a maximum power point tracking algorithm using an artificial neural network for a solar power system by applying a three layers neural network and some simple activation functions.Abstract:
This paper presents the development of a maximum power point tracking algorithm using an artificial neural network for a solar power system By applying a three layers neural network and some simple activation functions, the maximum power point of a solar array can be efficiently tracked The tracking algorithm integrated with a solar-powered battery charging system has been successfully implemented on a low-cost PIC16F876 RISC-microcontroller without external sensor unit requirement The experimental results with a commercial solar array show that the proposed algorithm outperforms the conventional controller in terms of tracking speed and mitigation of fluctuation output power in steady state operation The overall system efficiency is well above 91%read more
Citations
More filters
Journal ArticleDOI
A genetic algorithm optimized ANN-based MPPT algorithm for a stand-alone PV system with induction motor drive
TL;DR: A genetic algorithm (GA) optimized ANN-based MPPT algorithm implemented in a stand-alone PV system with direct-coupled induction motor drive to eliminate dc–dc converter and its accompanying losses is proposed.
Proceedings ArticleDOI
FPGA Implementation of MPPT Using Variable Step-Size P&O Algorithm for PV Applications
TL;DR: Experimental results with a commercial PV array show that the proposed algorithm outperforms the conventional controller in terms of tracking speed and mitigation of fluctuation output power in steady state operation.
Proceedings ArticleDOI
Application of Maximum Power Point Tracker with Self-organizing Fuzzy Logic Controller for Solar-powered Traffic Lights
N. Khaehintung,P. Sirisuk +1 more
TL;DR: In this article, the authors used an adjustable self-organizing fuzzy logic controller (SOFLC) for a solar-powered traffic light equipment (SPTLE) with an integrated maximum power point tracking (MPPT) system on a low-cost microcontroller.
Proceedings ArticleDOI
A Maximum Power Point Tracking algorithm for stand-alone photovoltaic systems controlled by low computational power devices
TL;DR: In this article, a new Maximum Power Point Tracking (MPPT) algorithm based on the well known Perturb and Observe (P&O) method is presented. But the proposed algorithm includes some refinements, as a three point comparison, variable duty-cycle increment and a timed reset of working parrameters, allowing a more efficient control of a stand-alone photovoltaic system.
Proceedings ArticleDOI
A low-cost photovoltaic energy harvesting circuit for portable devices
Ian Y.W. Chung,Yung C. Liang +1 more
TL;DR: This paper presents an efficient solar energy harvesting circuit for mobile phone battery chargers which can also be easily adapted for other mobile devices and is feasible for commercial applications.
References
More filters
Journal ArticleDOI
Neural-network-based maximum-power-point tracking of coupled-inductor interleaved-boost-converter-supplied PV system using fuzzy controller
TL;DR: In this paper, a feedforward MP-point tracking scheme is developed for the coupled-inductor interleaved-boost-converter-fed PV system using a fuzzy controller that results in better tracking performance.
Proceedings ArticleDOI
A new peak power tracker for cost-effective photovoltaic power system
TL;DR: In this paper, a new peak power tracker (PPT) was proposed to force a PV power system to extract the maximum power from solar arrays, regardless of the change of load demand, insolation and temperature.
Proceedings ArticleDOI
A RISC-microcontroller based photovoltaic system for illumination applications
TL;DR: In this paper, the authors presented the development of a solar powered public illumination system used for a waste recycle campaign in the city of Sao Paulo (Brazil), where a lighting pole is installed in a street for area illumination.
Proceedings ArticleDOI
GA-RBF neural network based maximum power point tracking for grid-connected photovoltaic systems
TL;DR: In this paper, a GA-RBFNN (genetic algorithm trained radial basis function neural network)-based model was proposed to carry out the maximum power point tracking (MPPT) for grid-connected photovoltaic (PV) power generation control systems.
Proceedings ArticleDOI
The dynamic performance of photovoltaic supplied dc motor fed from DC-DC converter and controlled by neural networks
TL;DR: An adaptive neural network controller (ANNC) that is used to control the speed of a separately excited DC motor driving a centrifugal pump load and fed from photovoltaic (PV) generator through DC-DC buck-boost converter.