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
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;
Conference_Titel :
Industrial Electronics Society, IECON 2013 - 39th Annual Conference of the IEEE
Conference_Location :
Vienna
DOI :
10.1109/IECON.2013.6699710
