Title :
Optimal operation of photovoltaic/diesel power generation system by neural network
Author :
Ohsawa, Yasuharu ; Emura, Shin-ichi ; Arai, Kenji
Author_Institution :
Dept. of Electr. & Electron. Eng., Kobe Univ., Japan
Abstract :
An artificial neural network is applied to the operation control of the photovoltaic/diesel hybrid power generation system. The optimal 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 optimal patterns are learned by the three layer neural network, and it is tested for the different insolation and demand data from those used in the learning. Two kinds of neural networks are examined, and the results are compared with each other.
Keywords :
diesel-electric generators; dynamic programming; learning (artificial intelligence); neural nets; optimal control; photovoltaic power systems; power station computer control; artificial neural network; dynamic programming; fuel consumption minimisation; learning; load demand; optimal operation patterns; photovoltaic/diesel power generation system; three layer neural network; Artificial neural networks; Batteries; Fuels; Hybrid power systems; Neural networks; Photovoltaic cells; Photovoltaic systems; Power generation; Power supplies; Solar power generation;
Conference_Titel :
Neural Networks to Power Systems, 1993. ANNPS '93., Proceedings of the Second International Forum on Applications of
Conference_Location :
Yokohama, Japan
Print_ISBN :
0-7803-1217-1
DOI :
10.1109/ANN.1993.264342
