Title :
Operation of photovoltaic power generation systems by neural network
Author :
Ohsawa, Yasuharu ; Higuma, Katsutoshi ; Emura, Shin-ichi ; Arai, Kenji
Author_Institution :
Dept. of Electr. Eng., Kobe Univ., Japan
Abstract :
The possibility of using an artificial neural network for the operation control of a photovoltaic/diesel hybrid system is examined. The optimum operation patterns of the diesel generator are calculated by dynamic programming (DP) under the known insolation and load demand, which minimize the fuel consumption of the diesel generator. These optimum patterns are learned by the neural network, and it is tested for different insolation and demand data from those used in the learning
Keywords :
diesel-electric generators; dynamic programming; neural nets; photovoltaic power systems; diesel generator; dynamic programming; fuel consumption; hybrid photovoltaic/diesel systems; insolation; load demand; neural network; photovoltaic power generation systems; Artificial neural networks; Batteries; Fuels; Hybrid power systems; Neural networks; Photovoltaic cells; Photovoltaic systems; Power generation; Power supplies; Solar power generation;
Conference_Titel :
Systems Engineering, 1992., IEEE International Conference on
Conference_Location :
Kobe
Print_ISBN :
0-7803-0734-8
DOI :
10.1109/ICSYSE.1992.236982
