DocumentCode
666272
Title
Multiagent system powered by neural network for positioning control of solar panels
Author
Oviedo, David ; Romero-Ternero, Ma del Carmen ; Carrasco, Alejandro ; Sivianes, Francisco ; Hernandez, Ma Dolores ; Escudero, Jose Ignacio
Author_Institution
Electron. Technol. Dept., Univ. of Seville, Seville, Spain
fYear
2013
fDate
10-13 Nov. 2013
Firstpage
3615
Lastpage
3620
Abstract
This paper presents a model of neural network for position control of solar panels in multiagent-based control systems. This neural network is integrated within agents in order to optimize and predict the best positioning of solar panels depending on the position of the sun and other variables. The agents in this system can cooperate and coordinate to achieve a sun tracking system optimized, simple and adaptive.
Keywords
neurocontrollers; optimisation; photovoltaic power systems; position control; power system control; solar cells; sunlight; multiagent-based control systems; neural network; optimization; solar panels positioning control; sun position; sun tracking systems; Biological neural networks; Expert systems; Neurons; Sensors; Sun; Training; control systems; multi-agent system; neural network; position control; renewable energy; solar energy; sun tracking;
fLanguage
English
Publisher
ieee
Conference_Titel
Industrial Electronics Society, IECON 2013 - 39th Annual Conference of the IEEE
Conference_Location
Vienna
ISSN
1553-572X
Type
conf
DOI
10.1109/IECON.2013.6699710
Filename
6699710
Link To Document